{
"mcpServers": {
"aigf-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 41 days ago. 6 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
AI governance framework document access through the Model Context Protocol.
This project provides direct access to AI governance framework documents from FINOS repositories through MCP, making them available in Claude, VS Code, Cursor, and other supported tools.
# Clone the repository
git clone https://github.com/finos/aigf-mcp-server.git
cd aigf-mcp-server
# Create and activate a virtual environment
python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
# Install dependencies
pip install -e .
# Required security setting (generate your own value; choose one)
export FINOS_MCP_CACHE_SECRET=$(python -c "import secrets; print(secrets.token_hex(32))")
# OR
export FINOS_MCP_CACHE_SECRET=$(openssl rand -hex 32)
# Test
finos-mcp --help
mcp list tools
Note: Using a virtual environment isolates project dependencies from your system Python, preventing conflicts and keeping your environment clean. This is the recommended approach for Python development.
→ Full Setup Guide - Connect to Claude, VS Code, Cursor, etc.
This repository now includes:
Dockerfile for a production-style container imagedocker-compose.yml for local deployment# 1) Create Docker env file
cp .env.docker.example .env.docker
# 2) Put a real 32+ char value in .env.docker
# FINOS_MCP_CACHE_SECRET=...
# 3) Start
docker compose up --build -d
# 4) Follow logs
docker compose logs -f finos-mcp-server
Server endpoint:
http://localhost:8000/mcpdocker build -t finos-mcp-server:latest .
docker run --rm -p 8000:8000 \
-e FINOS_MCP_CACHE_SECRET="$(openssl rand -hex 32)" \
-e FINOS_MCP_MCP_TRANSPORT=http \
-e FINOS_MCP_MCP_HOST=0.0.0.0 \
-e FINOS_MCP_MCP_PORT=8000 \
finos-mcp-server:latest
Use the same container image and pass environment variables at deploy time:
FINOS_MCP_CACHE_SECRET (required, minimum 32 chars)FINOS_MCP_MCP_TRANSPORT=httpFINOS_MCP_MCP_HOST=0.0.0.0FINOS_MCP_MCP_PORT (for example 8000)FINOS_MCP_GITHUB_TOKEN (recommended)FINOS_MCP_MCP_AUTH_ENABLED=true, then FINOS_MCP_MCP_AUTH_ISSUER, FINOS_MCP_MCP_AUTH_AUDIENCE, and one of FINOS_MCP_MCP_AUTH_JWKS_URI or FINOS_MCP_MCP_AUTH_PUBLIC_KEY are also required.Cloud mapping examples:
FINOS_MCP_CACHE_SECRETDeployment env vars + Secret for sensitive values| Tool Name | Description | Use Case |
|---|---|---|
list_frameworks | List all available AI governance frameworks | Get overview of the runtime-discovered framework catalog |
No automated test available for this server. Check the GitHub README for setup instructions.
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Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
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