What runtime does MCP Finance Agent require?
Python 3.11+ and Poetry for dependency management are required.
@dre1144
Basic information
No overview available yet
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>"
}
}
}
}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.
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.
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.
Python 3.11+ and Poetry for dependency management are required.
Create a `.env` file based on `.env.example` and set the required environment variables (e.g., API keys for Tinkoff Invest).
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"`).
Source code lives in `src/` with subdirectories for the agent core, external services, and data models. Tests are in `tests/` and documentation in `docs/`.
Activate the virtual environment with `poetry shell`, install pre-commit hooks with `pre-commit install`, and run tests with `pytest`.

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