Content
# Allen Brain API MCP Server
A comprehensive Model Context Protocol (MCP) server for querying the Allen Institute for Brain Science API. This server provides access to the Allen Brain API using the RESTful Model Access (RMA) format and high-level endpoints for various Allen Brain Institute datasets, including Cell Types, Mouse Connectivity, Ontologies, Image Downloads, Grid Data, and Neuronal Models.
## Features
- **`execute_rma_query`**: Allows sending raw, generic RMA queries for maximum flexibility. You can query models like `Specimen`, `SectionDataSet`, `Structure`, and filter them dynamically.
- **`get_cell_specimens`**: A convenient tool to query cell specimens from the Cell Types Database by species (e.g., *Mus musculus* or *Homo Sapiens*).
- **`get_mouse_connectivity_experiments`**: A high-level tool to quickly fetch projection/injection experiments from the Mouse Brain Connectivity Atlas.
- **`get_atlases`**: Retrieve atlases available through the API.
- **`get_structure_graphs`**: Retrieve structure graphs.
- **`get_structures`**: Retrieve data about anatomical structures, with optional filtering by graph ID.
- **`get_atlas_images`**: List atlas images belonging to a specified atlas.
- **`get_section_images`**: List section images belonging to a specified section data set.
- **`get_grid_data_download_url`**: Returns the URL to download 3-D expression grid data for a section data set.
- **`get_neuronal_models`**: Fetch biophysically detailed neuronal model records.
## Installation
This project is built using TypeScript. To install dependencies:
```bash
cd allenbrain-mcp
npm install
```
## Build
Compile the TypeScript code:
```bash
npm run build
```
## Running the Server
Start the server using `node`:
```bash
npm start
```
Or run in development mode with `tsx` watch:
```bash
npm run dev
```
## Testing
Tests are written using Vitest. Mocked `axios` is used to prevent actual network calls during the test suite.
```bash
npm run test
```
## Adding to an Agent (e.g., Gemini CLI)
To integrate this MCP server with an agent like the Gemini CLI, you need to configure your agent to recognize and execute the server.
1. **Ensure the server is built**:
```bash
cd /path/to/allenbrain-mcp
npm run build
```
2. **Configure your agent**: You will typically need to provide a path to the server's executable. For the Gemini CLI, this is usually done via a configuration file (e.g., `tool-code-interpreter.json` or similar, depending on your setup). Add an entry that points to the compiled server.
Example configuration entry (adjust `/path/to/allenbrain-mcp` to your actual directory):
```json
{
"mcpServers": {
"allenbrain-api": {
"command": "node",
"args": ["/path/to/allenbrain-mcp/build/index.js"]
}
}
}
```
Once configured, your agent should be able to list and call the tools provided by this MCP server.
## Disclaimer and Support
This project is a work in progress, and not all functionality has been exhaustively tested with live data. While efforts have been made to accurately reflect the Allen Brain API based on available documentation, this project is not officially linked to or endorsed by the Allen Institute for Brain Science.
Feedback, bug reports, and contributions are welcome and encouraged to improve its completeness and reliability.
