Github MCP Server

@dre1144

Basic information

About Github MCP Server

No overview available yet

#finance#portfolio-analysis#recommendation-agent

Github MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "github": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SUPABASE_URL",
        "-e",
        "SUPABASE_SERVICE_KEY",
        "-e",
        "ENCRYPTION_KEY",
        "-e",
        "MCP_API_KEY",
        "-e",
        "MCP_API_URL",
        "-e",
        "GITHUB_PERSONAL_ACCESS_TOKEN",
        "mcp/finance-portfolio-agent"
      ],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Github MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Finance Agent?

MCP Finance Agent is a Model Context Protocol agent for analyzing financial portfolios and generating recommendations. It integrates with the Tinkoff Invest API to provide portfolio analysis, risk assessment, and optimization suggestions.

How to use MCP Finance Agent?

Clone the repository, install dependencies with Poetry, configure environment variables in a .env file, then run the agent using poetry run python -m src.main. The API becomes available at http://localhost:8000.

Key features of MCP Finance Agent

Integration with Tinkoff Invest API
Portfolio and risk analysis
Recommendation generation for portfolio optimization
Real-time market data monitoring
Efficiency metric calculations

Use cases of MCP Finance Agent

Automated portfolio risk assessment
Personalized portfolio rebalancing recommendations
Continuous monitoring of financial positions

Frequently asked questions

What runtime does MCP Finance Agent require?

Python 3.11+ and Poetry for dependency management are required.

How do I configure MCP Finance Agent?

Create a `.env` file based on `.env.example` and set the required environment variables (e.g., API keys for Tinkoff Invest).

How is the agent tested?

Run `pytest` to execute all tests with coverage reporting. Specific tests can be run individually, and tests can be filtered by marker (e.g., `-m "not integration"`).

What is the structure of the project?

Source code lives in `src/` with subdirectories for the agent core, external services, and data models. Tests are in `tests/` and documentation in `docs/`.

How do I start development?

Activate the virtual environment with `poetry shell`, install pre-commit hooks with `pre-commit install`, and run tests with `pytest`.

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