| Name | mcp-server-for-splunk JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | None |
| Summary | MCP server for Splunk |
| upload_time | 2025-11-04 18:45:54 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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|
| keywords |
mcp
model-context-protocol
splunk
|
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<div style="display: flex; justify-content: space-between; align-items: flex-start; width: 100%; padding: 1em 0;">
<!-- Logo -->
<div>
<img align="left" src="media/deslicer_white.svg" alt="Deslicer" width="200">
</div>
</div>
# MCP Server for Splunk
[](https://gofastmcp.com/)
[](https://python.org)
[](https://docker.com)
[](https://modelcontextprotocol.io/)
[](#)
[](#)
[](LICENSE)
> **Enable AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP)**
Transform your Splunk instance into an AI-native platform. Our community-driven MCP server bridges Large Language Models and Splunk Enterprise/Cloud with 20+ tools, 16 resources (including CIM data models), and production-ready security—all through a single, standardized protocol.
## 🌟 Why This Matters
- **🔌 Universal AI Connection**: One protocol connects any AI to Splunk data
- **⚡ Zero Custom Integration**: No more months of custom API development
- **🛡️ Production-Ready Security**: Client-scoped access with no credential exposure
- **🤖 AI-Powered Workflows**: Intelligent troubleshooting agents that work like experts
- **🤝 Community-Driven**: Extensible framework with contribution examples
> **🚀 NEW: [AI-Powered Troubleshooting Workflows](docs/guides/workflows/README.md)** - Transform reactive firefighting into intelligent, systematic problem-solving with specialist AI workflows.
## 📋 Table of Contents
- [🚀 Quick Start](#quick-start)
- [Prerequisites](#prerequisites)
- [Configuration](#configuration)
- [One-Command Setup](#one-command-setup)
- [🎯 What You Can Do](#what-you-can-do)
- [🤖 AI-Powered Troubleshooting](#ai-powered-troubleshooting-new)
- [📚 Documentation Hub](#documentation-hub)
- [🔧 Available Tools & Capabilities](#available-tools--capabilities)
- [🤖 AI Workflows & Specialists](#ai-workflows--specialists-new)
- [🔍 Search & Analytics](#search--analytics)
- [📊 Data Discovery](#data-discovery)
- [👥 Administration](#administration)
- [🏥 Health Monitoring](#health-monitoring)
- [🌐 Client Integration Examples](#client-integration-examples)
- [🔄 Multi-Client Benefits](#multi-client-benefits)
- [Cursor IDE](#cursor-ide)
- [Google Agent Development Kit](#google-agent-development-kit)
- [🤝 Community & Contribution](#community--contribution)
- [🛠️ Create Your Own Tools & Extensions](#create-your-own-tools--extensions)
- [Contribution Categories](#contribution-categories)
- [🚀 Deployment Options](#deployment-options)
- [Development (Local)](#development-local)
- [Production (Docker)](#production-docker)
- [Enterprise (Kubernetes)](#enterprise-kubernetes)
- [🆘 Support & Community](#support--community)
- [Windows Support](#windows-support)
- [📈 Project Stats](#project-stats)
- [🎯 Ready to Get Started?](#ready-to-get-started)
<a name="quick-start"></a>
## 🚀 Quick Start
<a name="prerequisites"></a>
### Prerequisites
- Python 3.10+ and UV package manager
- Nodejs (optional used for mcp inspector)
- Docker (optional but recommended for full stack)
- Splunk instance with API access (or use included Docker Splunk)
> **📖 Complete Setup Guide**: [Installation Guide](docs/getting-started/installation.md)
<a name="configuration"></a>
### Configuration
**Before running the setup, configure your Splunk connection:**
```bash
# Copy the example configuration
cp env.example .env
# Edit .env with your Splunk credentials
# - Use your existing Splunk instance (local, cloud, or Splunk Cloud)
# - OR use the included Docker Splunk (requires Docker)
```
<a name="one-command-setup"></a>
### One-Command Setup
**Windows:**
```powershell
git clone https://github.com/deslicer/mcp-for-splunk.git
cd mcp-for-splunk
```python
# Start the MCP Server (project script)
uv run mcp-server --local --detached
# Verify the server
uv run mcp-server --test
# Optional: show detailed tools/resources and health output
uv run mcp-server --test --detailed
```
**macOS/Linux:**
```bash
git clone https://github.com/deslicer/mcp-for-splunk.git
cd mcp-for-splunk
# (Recommended) Preview what would be installed
./scripts/smart-install.sh --dry-run
# Install missing prerequisites (base: Python, uv, Git, Node)
./scripts/smart-install.sh
# Start the MCP Server (project script)
uv run mcp-server --local --detached
# Verify the server
uv run mcp-server --test
# Optional: show detailed tools/resources and health output
uv run mcp-server --test --detailed
```
> **💡 Deployment Options**: The `mcp-server` command will prompt you to choose:
>
> - **Docker** (Option 1): Full stack with Splunk, Traefik, MCP Inspector - recommended if Docker is installed
> - **Local** (Option 2): Lightweight FastMCP server only - for users without Docker
> Note on Splunk licensing: When using the `so1` Splunk container, you must supply your own Splunk Enterprise license if required. The compose files include a commented example mount:
> `# - ./lic/splunk.lic:/tmp/license/splunk.lic:ro`. Create a `lic/` directory and mount your license file, or add the license via the Splunk Web UI after startup.
<a name="what-you-can-do"></a>
## 🎯 What You Can Do
<a name="ai-powered-troubleshooting-new"></a>
### 🤖 **AI-Powered Troubleshooting** (NEW!)
Transform your Splunk troubleshooting from manual procedures to intelligent, automated workflows using the MCP server endpoints:
```python
# Discover and execute intelligent troubleshooting workflows
result = await list_workflows.execute(ctx, format_type="summary")
# Returns: missing_data_troubleshooting, performance_analysis, custom_workflows...
# Run AI-powered troubleshooting with a single command
result = await workflow_runner.execute(
ctx=ctx,
workflow_id="missing_data_troubleshooting",
earliest_time="-24h",
latest_time="now",
focus_index="main"
)
# → Parallel execution, expert analysis, actionable recommendations
```
**🚀 Key Benefits:**
- **🧠 Natural Language Interface**: "Troubleshoot missing data" → automated workflow execution
- **⚡ Parallel Processing**: Multiple diagnostic tasks run simultaneously for faster resolution
- **🔧 Custom Workflows**: Build organization-specific troubleshooting procedures
- **📊 Intelligent Analysis**: AI agents follow proven Splunk best practices
**[📖 Read the Complete AI Workflows Guide →](docs/guides/workflows/README.md)** for detailed examples, workflow creation, and advanced troubleshooting techniques.
<a name="documentation-hub"></a>
## 📚 Documentation Hub
| Document | Purpose | Audience | Time |
|----------|---------|----------|------|
| **[🤖 AI-Powered Troubleshooting](docs/guides/workflows/README.md)** | **Intelligent workflows powered by the workflow tools** | **All users** | **5 min** |
| **[Getting Started](docs/getting-started/)** | Complete setup guide with prerequisites | New users | 15 min |
| **[Integration Guide](docs/guides/integration/)** | Connect AI clients | Developers | 30 min |
| **[Deployment Guide](docs/guides/deployment/)** | Production deployment | DevOps | 45 min |
| **[Workflows Guide](docs/guides/workflows/README.md)** | Create and run workflows (OpenAI env vars) | Developers | 10 min |
| **[API Reference](docs/reference/tools.md)** | Tool documentation | Integrators | Reference |
| **[Resources Reference](docs/reference/resources.md)** | **Access CIM data models and Splunk docs** | **All users** | **Reference** |
| **[Contributing](docs/contrib/contributing.md)** | Add your own tools | Contributors | 60 min |
| **[📖 Contrib Guide](contrib/README.md)** | **Complete contribution framework** | **Contributors** | **15 min** |
| **[Architecture](docs/architecture/)** | Technical deep-dive | Architects | Reference |
| **[Tests Quick Start](docs/tests.md)** | First success test steps | Developers | 2 min |
| **[Plugins](docs/guides/plugins.md)** | Extend with entry-point plugins (separate package) | Integrators | 5 min |
<a name="available-tools--capabilities"></a>
## 🔧 Available Tools & Capabilities
<a name="ai-workflows--specialists-new"></a>
### 🤖 **AI Workflows & Specialists** (NEW!)
- **`list_workflows`**: Discover available troubleshooting workflows (core + contrib)
- **`workflow_runner`**: Execute any workflow with full parameter control and progress tracking
- **`workflow_builder`**: Create custom troubleshooting procedures for your organization
- **Built-in Workflows**: Missing data troubleshooting, performance analysis, and more
- **[📖 Complete Workflow Guide →](docs/guides/workflows/README.md)**
<a name="search--analytics"></a>
### 🔍 Search & Analytics
- **Smart Search**: Natural language to SPL conversion
- **Real-time Search**: Background job management with progress tracking
- **Saved Searches**: Create, execute, and manage search automation
<a name="data-discovery"></a>
### 📊 Data Discovery
- **Metadata Exploration**: Discover indexes, sources, and sourcetypes
- **Schema Analysis**: Understand your data structure
- **Usage Patterns**: Identify data volume and access patterns
<a name="administration"></a>
### 👥 Administration
- **App Management**: List, enable, disable Splunk applications
- **User Management**: Comprehensive user and role administration
- **Configuration Access**: Read and analyze Splunk configurations
<a name="health-monitoring"></a>
### 🏥 Health Monitoring
- **System Health**: Monitor Splunk infrastructure status
- **Degraded Feature Detection**: Proactive issue identification
- **Alert Management**: Track and analyze triggered alerts
<a name="client-integration-examples"></a>
## 🌐 Client Integration Examples
**💪 Multi-Client Configuration Strength**: One of the key advantages of this MCP Server for Splunk is its ability to support multiple client configurations simultaneously. You can run a single server instance and connect multiple clients with different Splunk environments, credentials, and configurations - all without restarting the server or managing separate processes.
<a name="multi-client-benefits"></a>
### 🔄 Multi-Client Benefits
**Session-Based Isolation**: Each client connection maintains its own Splunk session with independent authentication, preventing credential conflicts between different users or environments.
**Dynamic Configuration**: Switch between Splunk instances (on-premises, cloud, development, production) by simply changing headers - no server restart required.
**Scalable Architecture**: A single server can handle multiple concurrent clients, each with their own Splunk context, making it ideal for team environments, CI/CD pipelines, and multi-tenant deployments.
**Resource Efficiency**: Eliminates the need to run separate MCP server instances for each Splunk environment, reducing resource consumption and management overhead.
<a name="cursor-ide"></a>
### Cursor IDE
## Single Tenant ##
```json
{
"mcpServers": {
"splunk": {
"command": "fastmcp",
"args": ["run", "/path/to/src/server.py"],
"env": {
"MCP_SPLUNK_HOST": "your-splunk.com",
"MCP_SPLUNK_USERNAME": "your-user"
}
}
}
}
```
## Client Specified Tenant ##
```json
{
"mcpServers": {
"splunk-in-docker": {
"url": "http://localhost:8002/mcp/",
"headers": {
"X-Splunk-Host": "so1",
"X-Splunk-Port": "8089",
"X-Splunk-Username": "admin",
"X-Splunk-Password": "Chang3d!",
"X-Splunk-Scheme": "http",
"X-Splunk-Verify-SSL": "false",
"X-Session-ID": "splunk-in-docker-session"
}
},
"splunk-cloud-instance": {
"url": "http://localhost:8002/mcp/",
"headers": {
"X-Splunk-Host": "myorg.splunkcloud.com",
"X-Splunk-Port": "8089",
"X-Splunk-Username": "admin@myorg.com",
"X-Splunk-Password": "Chang3d!Cloud",
"X-Splunk-Scheme": "https",
"X-Splunk-Verify-SSL": "true",
"X-Session-ID": "splunk-cloud-session"
}
}
}
}
```
<a name="google-agent-development-kit"></a>
### Google Agent Development Kit
```python
from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset
splunk_agent = LlmAgent(
model='gemini-2.0-flash',
tools=[MCPToolset(connection_params=StdioServerParameters(
command='fastmcp',
args=['run', '/path/to/src/server.py']
))]
)
```
<a name="community--contribution"></a>
## 🤝 Community & Contribution
Quick links: [Contributing](CONTRIBUTING.md) · [Code of Conduct](CODE_OF_CONDUCT.md) · [Security Policy](SECURITY.md) · [Governance](GOVERNANCE.md) · [License](LICENSE)
<a name="create-your-own-tools--extensions"></a>
### 🛠️ **Create Your Own Tools & Extensions**
**🚀 Quick Start for Contributors:**
```bash
# Interactive tool generator (project script)
uv run generate-tool
# Browse existing tools for inspiration
./contrib/scripts/list_tools.py
# Validate your tool implementation (project script)
uv run validate-tools
# Test your contribution
./contrib/scripts/test_contrib.py
```
**[📖 Complete Contributing Guide →](contrib/README.md)** - Everything you need to know about creating tools, resources, and workflows for the MCP Server for Splunk.
<a name="contribution-categories"></a>
### **Contribution Categories**
- **🛡️ Security Tools**: Threat hunting, incident response, security analysis
- **⚙️ DevOps Tools**: Monitoring, alerting, operations, SRE workflows
- **📈 Analytics Tools**: Business intelligence, reporting, data analysis
- **💡 Example Tools**: Learning templates and patterns for new contributors
- **🔧 Custom Workflows**: AI-powered troubleshooting procedures for your organization
<a name="deployment-options"></a>
## 🚀 Deployment Options
<a name="development-local"></a>
### Development (Local)
- **Startup Time**: ~10 seconds
- **Resource Usage**: Minimal (single Python process)
- **Best For**: Development, testing, stdio-based AI clients
<a name="production-docker"></a>
### Production (Docker)
- **Features**: Load balancing, health checks, monitoring
- **Includes**: Traefik, MCP Inspector, optional Splunk
- **Best For**: Multi-client access, web-based AI agents
<a name="enterprise-kubernetes"></a>
### Enterprise (Kubernetes)
- **Scalability**: Horizontal scaling, high availability
- **Security**: Pod-level isolation, secret management
- **Monitoring**: Comprehensive observability stack
<a name="support--community"></a>
## 🆘 Support & Community
- **🐛 Issues**: [GitHub Issues](https://github.com/deslicer/mcp-server-for-splunk/issues)
- **💬 Discussions**: [GitHub Discussions](https://github.com/deslicer/mcp-server-for-splunk/discussions)
- **📖 Documentation**: Complete guides and references
- **🔧 Interactive Testing**: MCP Inspector for real-time testing
<a name="windows-support"></a>
### Windows Support
Windows users get first-class support with PowerShell scripts and comprehensive troubleshooting guides. See our [Windows Setup Guide](docs/WINDOWS_GUIDE.md).
<a name="project-stats"></a>
## 📈 Project Stats
- ✅ **20+ Production Tools** - Comprehensive Splunk operations
- ✅ **16 Rich Resources** - System info, documentation, and CIM data models
- ✅ **Comprehensive Test Suite** - 170+ tests passing locally
- ✅ **Multi-Platform** - Windows, macOS, Linux support
- ✅ **Community-Ready** - Structured contribution framework
- ✅ **Enterprise-Proven** - Production deployment patterns
---
<a name="ready-to-get-started"></a>
## 🎯 Ready to Get Started?
Choose your adventure:
- **🚀 [Quick Start](docs/getting-started/)** - Get running in 15 minutes
- **💻 [Integration Examples](docs/guides/integration/)** - Connect your AI tools
- **🏗️ [Architecture Guide](docs/architecture/)** - Understand the system
- **🤝 [Contribute](docs/contrib/contributing.md)** - Add your own tools
**Learn More**: [Model Context Protocol](https://modelcontextprotocol.io/) | [FastMCP Framework](https://gofastmcp.com/)
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"description": "<div style=\"display: flex; justify-content: space-between; align-items: flex-start; width: 100%; padding: 1em 0;\">\n <!-- Logo -->\n <div>\n <img align=\"left\" src=\"media/deslicer_white.svg\" alt=\"Deslicer\" width=\"200\">\n </div>\n</div>\n\n# MCP Server for Splunk\n\n[](https://gofastmcp.com/)\n[](https://python.org)\n[](https://docker.com)\n[](https://modelcontextprotocol.io/)\n[](#)\n[](#)\n[](LICENSE)\n\n> **Enable AI agents to interact seamlessly with Splunk environments through the Model Context Protocol (MCP)**\n\nTransform your Splunk instance into an AI-native platform. Our community-driven MCP server bridges Large Language Models and Splunk Enterprise/Cloud with 20+ tools, 16 resources (including CIM data models), and production-ready security\u2014all through a single, standardized protocol.\n\n## \ud83c\udf1f Why This Matters\n\n- **\ud83d\udd0c Universal AI Connection**: One protocol connects any AI to Splunk data\n- **\u26a1 Zero Custom Integration**: No more months of custom API development\n- **\ud83d\udee1\ufe0f Production-Ready Security**: Client-scoped access with no credential exposure\n- **\ud83e\udd16 AI-Powered Workflows**: Intelligent troubleshooting agents that work like experts\n- **\ud83e\udd1d Community-Driven**: Extensible framework with contribution examples\n\n> **\ud83d\ude80 NEW: [AI-Powered Troubleshooting Workflows](docs/guides/workflows/README.md)** - Transform reactive firefighting into intelligent, systematic problem-solving with specialist AI workflows.\n\n## \ud83d\udccb Table of Contents\n\n- [\ud83d\ude80 Quick Start](#quick-start)\n - [Prerequisites](#prerequisites)\n - [Configuration](#configuration)\n - [One-Command Setup](#one-command-setup)\n- [\ud83c\udfaf What You Can Do](#what-you-can-do)\n - [\ud83e\udd16 AI-Powered Troubleshooting](#ai-powered-troubleshooting-new)\n- [\ud83d\udcda Documentation Hub](#documentation-hub)\n- [\ud83d\udd27 Available Tools & Capabilities](#available-tools--capabilities)\n - [\ud83e\udd16 AI Workflows & Specialists](#ai-workflows--specialists-new)\n - [\ud83d\udd0d Search & Analytics](#search--analytics)\n - [\ud83d\udcca Data Discovery](#data-discovery)\n - [\ud83d\udc65 Administration](#administration)\n - [\ud83c\udfe5 Health Monitoring](#health-monitoring)\n- [\ud83c\udf10 Client Integration Examples](#client-integration-examples)\n - [\ud83d\udd04 Multi-Client Benefits](#multi-client-benefits)\n - [Cursor IDE](#cursor-ide)\n - [Google Agent Development Kit](#google-agent-development-kit)\n- [\ud83e\udd1d Community & Contribution](#community--contribution)\n - [\ud83d\udee0\ufe0f Create Your Own Tools & Extensions](#create-your-own-tools--extensions)\n - [Contribution Categories](#contribution-categories)\n- [\ud83d\ude80 Deployment Options](#deployment-options)\n - [Development (Local)](#development-local)\n - [Production (Docker)](#production-docker)\n - [Enterprise (Kubernetes)](#enterprise-kubernetes)\n- [\ud83c\udd98 Support & Community](#support--community)\n - [Windows Support](#windows-support)\n- [\ud83d\udcc8 Project Stats](#project-stats)\n- [\ud83c\udfaf Ready to Get Started?](#ready-to-get-started)\n\n<a name=\"quick-start\"></a>\n\n## \ud83d\ude80 Quick Start\n\n<a name=\"prerequisites\"></a>\n\n### Prerequisites\n\n- Python 3.10+ and UV package manager\n- Nodejs (optional used for mcp inspector)\n- Docker (optional but recommended for full stack)\n- Splunk instance with API access (or use included Docker Splunk)\n\n> **\ud83d\udcd6 Complete Setup Guide**: [Installation Guide](docs/getting-started/installation.md)\n\n<a name=\"configuration\"></a>\n\n### Configuration\n\n**Before running the setup, configure your Splunk connection:**\n\n```bash\n# Copy the example configuration\ncp env.example .env\n\n# Edit .env with your Splunk credentials\n# - Use your existing Splunk instance (local, cloud, or Splunk Cloud)\n# - OR use the included Docker Splunk (requires Docker)\n```\n\n<a name=\"one-command-setup\"></a>\n\n### One-Command Setup\n\n**Windows:**\n\n```powershell\ngit clone https://github.com/deslicer/mcp-for-splunk.git\ncd mcp-for-splunk\n\n```python\n# Start the MCP Server (project script)\nuv run mcp-server --local --detached\n\n# Verify the server\nuv run mcp-server --test\n# Optional: show detailed tools/resources and health output\nuv run mcp-server --test --detailed\n```\n\n**macOS/Linux:**\n\n```bash\ngit clone https://github.com/deslicer/mcp-for-splunk.git\ncd mcp-for-splunk\n\n# (Recommended) Preview what would be installed\n./scripts/smart-install.sh --dry-run\n\n# Install missing prerequisites (base: Python, uv, Git, Node)\n./scripts/smart-install.sh\n\n# Start the MCP Server (project script)\nuv run mcp-server --local --detached\n\n# Verify the server\nuv run mcp-server --test\n# Optional: show detailed tools/resources and health output\nuv run mcp-server --test --detailed\n```\n\n> **\ud83d\udca1 Deployment Options**: The `mcp-server` command will prompt you to choose:\n>\n> - **Docker** (Option 1): Full stack with Splunk, Traefik, MCP Inspector - recommended if Docker is installed\n> - **Local** (Option 2): Lightweight FastMCP server only - for users without Docker\n\n> Note on Splunk licensing: When using the `so1` Splunk container, you must supply your own Splunk Enterprise license if required. The compose files include a commented example mount:\n> `# - ./lic/splunk.lic:/tmp/license/splunk.lic:ro`. Create a `lic/` directory and mount your license file, or add the license via the Splunk Web UI after startup.\n\n<a name=\"what-you-can-do\"></a>\n\n## \ud83c\udfaf What You Can Do\n\n<a name=\"ai-powered-troubleshooting-new\"></a>\n\n### \ud83e\udd16 **AI-Powered Troubleshooting** (NEW!)\n\nTransform your Splunk troubleshooting from manual procedures to intelligent, automated workflows using the MCP server endpoints:\n\n```python\n# Discover and execute intelligent troubleshooting workflows\nresult = await list_workflows.execute(ctx, format_type=\"summary\")\n# Returns: missing_data_troubleshooting, performance_analysis, custom_workflows...\n\n# Run AI-powered troubleshooting with a single command\nresult = await workflow_runner.execute(\n ctx=ctx,\n workflow_id=\"missing_data_troubleshooting\",\n earliest_time=\"-24h\",\n latest_time=\"now\",\n focus_index=\"main\"\n)\n# \u2192 Parallel execution, expert analysis, actionable recommendations\n```\n\n**\ud83d\ude80 Key Benefits:**\n\n- **\ud83e\udde0 Natural Language Interface**: \"Troubleshoot missing data\" \u2192 automated workflow execution\n- **\u26a1 Parallel Processing**: Multiple diagnostic tasks run simultaneously for faster resolution\n- **\ud83d\udd27 Custom Workflows**: Build organization-specific troubleshooting procedures\n- **\ud83d\udcca Intelligent Analysis**: AI agents follow proven Splunk best practices\n\n**[\ud83d\udcd6 Read the Complete AI Workflows Guide \u2192](docs/guides/workflows/README.md)** for detailed examples, workflow creation, and advanced troubleshooting techniques.\n\n<a name=\"documentation-hub\"></a>\n\n## \ud83d\udcda Documentation Hub\n\n| Document | Purpose | Audience | Time |\n|----------|---------|----------|------|\n| **[\ud83e\udd16 AI-Powered Troubleshooting](docs/guides/workflows/README.md)** | **Intelligent workflows powered by the workflow tools** | **All users** | **5 min** |\n| **[Getting Started](docs/getting-started/)** | Complete setup guide with prerequisites | New users | 15 min |\n| **[Integration Guide](docs/guides/integration/)** | Connect AI clients | Developers | 30 min |\n| **[Deployment Guide](docs/guides/deployment/)** | Production deployment | DevOps | 45 min |\n| **[Workflows Guide](docs/guides/workflows/README.md)** | Create and run workflows (OpenAI env vars) | Developers | 10 min |\n| **[API Reference](docs/reference/tools.md)** | Tool documentation | Integrators | Reference |\n| **[Resources Reference](docs/reference/resources.md)** | **Access CIM data models and Splunk docs** | **All users** | **Reference** |\n| **[Contributing](docs/contrib/contributing.md)** | Add your own tools | Contributors | 60 min |\n| **[\ud83d\udcd6 Contrib Guide](contrib/README.md)** | **Complete contribution framework** | **Contributors** | **15 min** |\n| **[Architecture](docs/architecture/)** | Technical deep-dive | Architects | Reference |\n| **[Tests Quick Start](docs/tests.md)** | First success test steps | Developers | 2 min |\n| **[Plugins](docs/guides/plugins.md)** | Extend with entry-point plugins (separate package) | Integrators | 5 min |\n\n<a name=\"available-tools--capabilities\"></a>\n\n## \ud83d\udd27 Available Tools & Capabilities\n\n<a name=\"ai-workflows--specialists-new\"></a>\n\n### \ud83e\udd16 **AI Workflows & Specialists** (NEW!)\n\n- **`list_workflows`**: Discover available troubleshooting workflows (core + contrib)\n- **`workflow_runner`**: Execute any workflow with full parameter control and progress tracking\n- **`workflow_builder`**: Create custom troubleshooting procedures for your organization\n- **Built-in Workflows**: Missing data troubleshooting, performance analysis, and more\n- **[\ud83d\udcd6 Complete Workflow Guide \u2192](docs/guides/workflows/README.md)**\n\n<a name=\"search--analytics\"></a>\n\n### \ud83d\udd0d Search & Analytics\n\n- **Smart Search**: Natural language to SPL conversion\n- **Real-time Search**: Background job management with progress tracking\n- **Saved Searches**: Create, execute, and manage search automation\n\n<a name=\"data-discovery\"></a>\n\n### \ud83d\udcca Data Discovery\n\n- **Metadata Exploration**: Discover indexes, sources, and sourcetypes\n- **Schema Analysis**: Understand your data structure\n- **Usage Patterns**: Identify data volume and access patterns\n\n<a name=\"administration\"></a>\n\n### \ud83d\udc65 Administration\n\n- **App Management**: List, enable, disable Splunk applications\n- **User Management**: Comprehensive user and role administration\n- **Configuration Access**: Read and analyze Splunk configurations\n\n<a name=\"health-monitoring\"></a>\n\n### \ud83c\udfe5 Health Monitoring\n\n- **System Health**: Monitor Splunk infrastructure status\n- **Degraded Feature Detection**: Proactive issue identification\n- **Alert Management**: Track and analyze triggered alerts\n\n<a name=\"client-integration-examples\"></a>\n\n## \ud83c\udf10 Client Integration Examples\n\n**\ud83d\udcaa Multi-Client Configuration Strength**: One of the key advantages of this MCP Server for Splunk is its ability to support multiple client configurations simultaneously. You can run a single server instance and connect multiple clients with different Splunk environments, credentials, and configurations - all without restarting the server or managing separate processes.\n\n<a name=\"multi-client-benefits\"></a>\n\n### \ud83d\udd04 Multi-Client Benefits\n\n**Session-Based Isolation**: Each client connection maintains its own Splunk session with independent authentication, preventing credential conflicts between different users or environments.\n\n**Dynamic Configuration**: Switch between Splunk instances (on-premises, cloud, development, production) by simply changing headers - no server restart required.\n\n**Scalable Architecture**: A single server can handle multiple concurrent clients, each with their own Splunk context, making it ideal for team environments, CI/CD pipelines, and multi-tenant deployments.\n\n**Resource Efficiency**: Eliminates the need to run separate MCP server instances for each Splunk environment, reducing resource consumption and management overhead.\n\n<a name=\"cursor-ide\"></a>\n\n### Cursor IDE\n\n## Single Tenant ##\n\n```json\n{\n \"mcpServers\": {\n \"splunk\": {\n \"command\": \"fastmcp\",\n \"args\": [\"run\", \"/path/to/src/server.py\"],\n \"env\": {\n \"MCP_SPLUNK_HOST\": \"your-splunk.com\",\n \"MCP_SPLUNK_USERNAME\": \"your-user\"\n }\n }\n }\n}\n```\n\n## Client Specified Tenant ##\n\n```json\n{\n \"mcpServers\": {\n \"splunk-in-docker\": {\n \"url\": \"http://localhost:8002/mcp/\",\n \"headers\": {\n \"X-Splunk-Host\": \"so1\",\n \"X-Splunk-Port\": \"8089\",\n \"X-Splunk-Username\": \"admin\",\n \"X-Splunk-Password\": \"Chang3d!\",\n \"X-Splunk-Scheme\": \"http\",\n \"X-Splunk-Verify-SSL\": \"false\",\n \"X-Session-ID\": \"splunk-in-docker-session\"\n }\n },\n \"splunk-cloud-instance\": {\n \"url\": \"http://localhost:8002/mcp/\",\n \"headers\": {\n \"X-Splunk-Host\": \"myorg.splunkcloud.com\",\n \"X-Splunk-Port\": \"8089\",\n \"X-Splunk-Username\": \"admin@myorg.com\",\n \"X-Splunk-Password\": \"Chang3d!Cloud\",\n \"X-Splunk-Scheme\": \"https\",\n \"X-Splunk-Verify-SSL\": \"true\",\n \"X-Session-ID\": \"splunk-cloud-session\"\n }\n }\n }\n}\n```\n\n<a name=\"google-agent-development-kit\"></a>\n\n### Google Agent Development Kit\n\n```python\nfrom google.adk.tools.mcp_tool.mcp_toolset import MCPToolset\n\nsplunk_agent = LlmAgent(\n model='gemini-2.0-flash',\n tools=[MCPToolset(connection_params=StdioServerParameters(\n command='fastmcp',\n args=['run', '/path/to/src/server.py']\n ))]\n)\n```\n\n<a name=\"community--contribution\"></a>\n\n## \ud83e\udd1d Community & Contribution\n\nQuick links: [Contributing](CONTRIBUTING.md) \u00b7 [Code of Conduct](CODE_OF_CONDUCT.md) \u00b7 [Security Policy](SECURITY.md) \u00b7 [Governance](GOVERNANCE.md) \u00b7 [License](LICENSE)\n\n<a name=\"create-your-own-tools--extensions\"></a>\n\n### \ud83d\udee0\ufe0f **Create Your Own Tools & Extensions**\n\n**\ud83d\ude80 Quick Start for Contributors:**\n\n```bash\n# Interactive tool generator (project script)\nuv run generate-tool\n\n# Browse existing tools for inspiration\n./contrib/scripts/list_tools.py\n\n# Validate your tool implementation (project script)\nuv run validate-tools\n\n# Test your contribution\n./contrib/scripts/test_contrib.py\n```\n\n**[\ud83d\udcd6 Complete Contributing Guide \u2192](contrib/README.md)** - Everything you need to know about creating tools, resources, and workflows for the MCP Server for Splunk.\n\n<a name=\"contribution-categories\"></a>\n\n### **Contribution Categories**\n\n- **\ud83d\udee1\ufe0f Security Tools**: Threat hunting, incident response, security analysis\n- **\u2699\ufe0f DevOps Tools**: Monitoring, alerting, operations, SRE workflows\n- **\ud83d\udcc8 Analytics Tools**: Business intelligence, reporting, data analysis\n- **\ud83d\udca1 Example Tools**: Learning templates and patterns for new contributors\n- **\ud83d\udd27 Custom Workflows**: AI-powered troubleshooting procedures for your organization\n\n<a name=\"deployment-options\"></a>\n\n## \ud83d\ude80 Deployment Options\n\n<a name=\"development-local\"></a>\n\n### Development (Local)\n\n- **Startup Time**: ~10 seconds\n- **Resource Usage**: Minimal (single Python process)\n- **Best For**: Development, testing, stdio-based AI clients\n\n<a name=\"production-docker\"></a>\n\n### Production (Docker)\n\n- **Features**: Load balancing, health checks, monitoring\n- **Includes**: Traefik, MCP Inspector, optional Splunk\n- **Best For**: Multi-client access, web-based AI agents\n\n<a name=\"enterprise-kubernetes\"></a>\n\n### Enterprise (Kubernetes)\n\n- **Scalability**: Horizontal scaling, high availability\n- **Security**: Pod-level isolation, secret management\n- **Monitoring**: Comprehensive observability stack\n\n<a name=\"support--community\"></a>\n\n## \ud83c\udd98 Support & Community\n\n- **\ud83d\udc1b Issues**: [GitHub Issues](https://github.com/deslicer/mcp-server-for-splunk/issues)\n- **\ud83d\udcac Discussions**: [GitHub Discussions](https://github.com/deslicer/mcp-server-for-splunk/discussions)\n- **\ud83d\udcd6 Documentation**: Complete guides and references\n- **\ud83d\udd27 Interactive Testing**: MCP Inspector for real-time testing\n\n<a name=\"windows-support\"></a>\n\n### Windows Support\n\nWindows users get first-class support with PowerShell scripts and comprehensive troubleshooting guides. See our [Windows Setup Guide](docs/WINDOWS_GUIDE.md).\n\n<a name=\"project-stats\"></a>\n\n## \ud83d\udcc8 Project Stats\n\n- \u2705 **20+ Production Tools** - Comprehensive Splunk operations\n- \u2705 **16 Rich Resources** - System info, documentation, and CIM data models\n- \u2705 **Comprehensive Test Suite** - 170+ tests passing locally\n- \u2705 **Multi-Platform** - Windows, macOS, Linux support\n- \u2705 **Community-Ready** - Structured contribution framework\n- \u2705 **Enterprise-Proven** - Production deployment patterns\n\n---\n\n<a name=\"ready-to-get-started\"></a>\n\n## \ud83c\udfaf Ready to Get Started?\n\nChoose your adventure:\n\n- **\ud83d\ude80 [Quick Start](docs/getting-started/)** - Get running in 15 minutes\n- **\ud83d\udcbb [Integration Examples](docs/guides/integration/)** - Connect your AI tools\n- **\ud83c\udfd7\ufe0f [Architecture Guide](docs/architecture/)** - Understand the system\n- **\ud83e\udd1d [Contribute](docs/contrib/contributing.md)** - Add your own tools\n\n**Learn More**: [Model Context Protocol](https://modelcontextprotocol.io/) | [FastMCP Framework](https://gofastmcp.com/)\n",
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