dlp-invest-mcp

MCP (Model Context Protocol) server exposing your DLPInvest portfolio as tools for AI clients - Claude Desktop, Cursor, Claude Code, and any MCP-compatible client.

What is this?

MCP is an open protocol that lets AI models call external tools. This package is a stdio MCP server that talks to the DLPInvest REST API on your behalf. Once configured, an AI assistant can query your positions, trades, dividends, and more - without you writing a single line of code.

Features:

• 11 ready-to-use tools covering operations, portfolio, positions, returns, statement, dividends, assets, brokerages, strategies, and sub-strategies.
• Runs over stdio (JSON-RPC), the most portable MCP transport.
• Installable via uvx, pip, or uv - no Python knowledge required on the client side.

Quick install

Option 1 (recommended): uvx + client config

Install uv once, then paste the JSON block for your client below.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %AppData%/Claude/claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "dlp-invest": {
      "command": "uvx",
      "args": ["dlp-invest-mcp"],
      "env": {
        "DLP_INVEST_API_TOKEN": "DLP-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "dlp-invest": {
      "command": "uvx",
      "args": ["dlp-invest-mcp"],
      "env": {
        "DLP_INVEST_API_TOKEN": "DLP-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Claude Code

claude mcp add dlp-invest --scope user --env DLP_INVEST_API_TOKEN=DLP-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx -- uvx dlp-invest-mcp

Option 2: pip + manual run

pip install dlp-invest-mcp
dlp-invest-mcp

Then configure your client to run dlp-invest-mcp as the command.

Available tools

Tool	Description	Key parameters
obter_operacoes	List operations/trades	carteira, status, data_inicial, data_final, limite, offset
obter_carteira	Portfolio metadata	-
obter_posicao	Current holdings	carteira
obter_rentabilidade	Returns over a period	carteira, data_inicial, data_final
obter_extrato	Financial statement	carteira, data_inicial, data_final, limite, offset
obter_proventos	Dividends & income	carteira, data_inicial, data_final
obter_ativos	List all assets	-
obter_ativos_detalhes	Asset details by ticker	ticker (required)
obter_corretoras	List brokerages	-
obter_estrategias	List strategies	-
obter_subestrategias	List sub-strategies	-

Example

What's my current position?

The AI calls obter_posicao and returns your holdings in real time.

Environment variables

Variable	Default	Required	Description
DLP_INVEST_API_TOKEN	(empty)	No	DLPInvest API token (Bearer). Leave empty to disable requests; tools will return a clear error.
DLP_INVEST_API_BASE_URL	https://users.dlpinvest.com.br	No	Base URL of the DLPInvest REST API.
DLP_INVEST_REQUEST_TIMEOUT_SECONDS	30	No	HTTP request timeout in seconds.

Settings can also be placed in a .env file in the working directory.

Development

# Clone
git clone https://github.com/marlo/dlp-invest-mcp
cd dlp-invest-mcp

# Install uv (https://github.com/astral-sh/uv)
# Then:
uv sync                    # install dependencies + dev tools

uv run ruff check .        # lint
uv run ruff format .       # format
uv run mypy src            # type check
uv run pytest -q           # tests
uv run dlp-invest-mcp      # run server locally

Build a local wheel

uv build

Artifacts land in dist/. Test install:

uv pip install dist/dlp_invest_mcp-0.1.0-py3-none-any.whl

Dry-run publish

uv publish --dry-run

Troubleshooting

Problem	Likely cause	Fix
uvx: command not found	uv not installed	Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
Tools return "Token de API nao configurado"	DLP_INVEST_API_TOKEN missing	Add the env var in your client config or a .env file
No tools appear in client	Wrong command in client config	Use uvx dlp-invest-mcp (not python ...)
JSON-RPC errors on stdout	Logging writes to stdout	This package logs to stderr only - ensure you did not redirect stderr
Timeout / connection errors	Network or wrong base URL	Check DLP_INVEST_API_BASE_URL and network access

Contributing

1. Fork the repo and create a branch.
2. Run uv sync to install dev dependencies.
3. Add tests for any new tool.
4. Ensure ruff, mypy, and pytest pass.
5. Open a PR describing the change.

License

MIT - see LICENSE.