# ElasticGraph MCP Server
This provides a Model Context Protocol (MCP) server for [ElasticGraph](https://block.github.io/elasticgraph/) using the [MCP python-sdk](https://github.com/modelcontextprotocol/python-sdk).
## Setup
1. Install dependencies:
```bash
# make install
uv sync
source .venv/bin/activate
```
2. Run the server:
The server runs on port 3000, and though there are no logs displayed, it is actively waiting for input.
```bash
# make server
uv pip install .
elasticgraph-mcp-server
```
## Development
### MCP Inspector
You can test your MCP server with Anthropic's [Inspector](https://modelcontextprotocol.io/docs/tools/inspector). To start:
1. Run the following command, which starts the server as a subprocess and launches the Inspector UI:
```bash
# make inspector
mcp dev src/elasticgraph_mcp/server.py
```
2. Open your browser and navigate to [http://localhost:5173](http://localhost:5173) to access the MCP Inspector UI.
### Goose
Add a development build to Goose:
1. In Goose, navigate to **Settings > Extensions > Add**.
2. Set **Type** to **StandardIO**.
3. Obtain the absolute path to the project’s CLI:
```bash
# Get the path and copy it to your clipboard
realpath .venv/bin/elasticgraph-mcp-server | pbcopy
```
4. Type `uv run` then paste that path
```bash
uv run </path/to/elasticgraph_mcp/.venv/bin/elasticgraph-mcp-server>
```
5. Enable the extension and verify that Goose recognizes your tools.
Ask goose: What tools and resources for ElasticGraph do you have?
## Development commands
This project uses `make` for common development tasks. To see all available commands, run:
```bash
make help
```
## Using Goose to help with development
You can use [Goose](https://block.github.io/goose/) to improve this MCP server. To teach goose about MCP, follow these steps:
### Setting Up a Goose Session
1. **Navigate to this MCP Server Directory:**
```bash
cd ai_tools/elasticgraph-mcp-server
```
2. **Prepare a Temporary Directory:**
```bash
mkdir tmp
touch tmp/.gitignore
echo "/*" > tmp/.gitignore
```
3. **Create MCP Instructions File:**
Copy MCP instructions from [MCP LLM instructions](https://modelcontextprotocol.io/llms-full.txt) to a new file:
```bash
touch tmp/mcp_for_llm_instructions.md
```
4. **Start a Goose Session:**
```bash
goose session
```
Try this prompt:
> First, learn about MCP servers from `tmp/mcp_for_llm_instructions.md`. Then, see the current MCP server I'm building in `src/elasticgraph_mcp/server.py`. Now <specify your changes>
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