AIND Metadata MCP Server


An MCP (Model Context Protocol) server that provides access to AIND (Allen Institute for Neural Dynamics) metadata and data assets through a comprehensive set of tools and resources.

Features

This MCP server provides tools for:

• Data Retrieval: Query MongoDB collections with filters and projections
• Aggregation: Execute complex MongoDB aggregation pipelines
• Schema Exploration: Access detailed schema examples and documentation
• NWB File Access: Load and explore NWB (Neurodata Without Borders) files
• Data Summaries: Generate AI-powered summaries of data assets

Installation

Install uv if you haven't already - following this documentation

Install the MCP server using uv:

uv tool install aind-metadata-mcp

Or using pip:

pip install aind-metadata-mcp

Configuration

For Cline (VSCode Extension)

In order to ensure that the MCP server runs in your preferred client, you will have to download the aind-metadata-mcp package to your console. If space is an issue, please set UV_CACHE_DIR and UV_TOOL_DIR to locations that have capacity before proceeding with the next step.

1. Simpler version of install
   Run uv tool install aind-metadata-mcp on your terminal and proceed below to configuring your MCP clients.

2. If the above step didn't work:

Create virtual environment with python 3.11 in IDE

# Instructions for Conda
conda create -n <my_env> python=3.11
conda activate <my_env>

# Instructions for virtual environment
py -3.11 -m venv .venv
# Windows startup
.venv\Scripts\Activate.ps1 
# Mac/ Linux startup
source .venv/bin/activate 

Run the following commands in your IDE terminal.

pip install uv
uvx aind-metadata-mcp

If all goes well, and you see the following notice - Starting MCP server 'aind_data_access' with transport 'stdio'-, you should be good for the set up in your client of choice!

Instructions for use in MCP clients

JSON Config files to add MCP servers in clients should be structured like this

{
    "mcpServers": {

    }
}

Insert the following lines into the mcpServers dictionary

"aind_data_access": {
      "disabled": false,
      "timeout": 300,
      "type": "stdio",
      "command": "aind-metadata-mcp"
}

Note that after configuring the JSON files, it will take a few minutes for the serve to populate in the client.

Claude Desktop App

• Click the three lines at the top left of the screen.
• File > Settings > Developer > Edit config

Cline in VSCode

• Ensure that Cline is downloaded to VScode
• Click the three stacked rectangles at the top right of the Cline window
• Installed > Configure MCP Servers
• Close and reopen VSCode

Github Copilot in VSCode

• Command palette (ctr shift p)
• Search for MCP: Add server
• Select Manual Install / stdio
• When prompted for a command, input uvx aind-data-access
• Name your server
• Close and reopen VSCode
• In Copilot chat -> Select agent mode -> Click the three stacked rectangles to configure tools
• In order to enable the agent to reply with context of the AIND API, you'll have to manually add the .txt files (under resources) in this repository

For use in Code Ocean

• Locate the following capsule, to spin up Cline and Co-pilot with the aind-metadata-mcp pre-installed.
• Refer the the code ocean MCP server for additional support
• Either pin version 4.2, or 4.5