Profitelligence

Provides semantically dense, token-efficient access to insider trading, SEC filings, market data, and multi-signal analysis via a thin MCP layer.
  • python

0

GitHub Stars

python

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

Profitelligence MCP Server provides a thin, stateless layer that exposes Profitelligence’s wealth of financial data and analysis through a standardized MCP interface. It gives AI agents like Claude fast, context-rich insights—ranging from insider trading signals to macro indicators—without exposing your account to risk or requiring you to manage data storage.

How to use

You connect your MCP client to the Profitelligence MCP Server to issue requests and receive complete, context-rich answers. The server is designed for token efficiency and easy integration, letting you query insider activity, SEC filings, market data, and multi-signal analyses in a single, coherent response. You can use either the hosted MCP URL or run a self-hosted (local) instance if you prefer full control over the environment.

How to install

Prerequisites: you should have Python installed for self-hosting and a container runtime if you prefer running a prebuilt image.

# Self-hosted installation flow (from source)
git clone https://github.com/profitelligence/profitelligence-mcp-server.git
cd profitelligence-mcp-server
pip install -e .
PROF_API_KEY=YOUR_API_KEY python -m src.server

Additional setup and configuration

You can run the MCP server in either HTTP mode (remote server) or stdio mode (local server) depending on your deployment needs. The HTTP method connects you to a remote MCP endpoint, while the stdio method runs the server locally and communicates via standard input/output.

When self-hosting, you may set environment variables to configure access and privacy. The following variables are shown in the configuration examples: PROF_API_KEY, PROF_MCP_MODE, PROF_MCP_PORT, and BRAVE_API_KEY for web search privacy.

Connecting via an MCP client

Use the provided MCP URL and, if required, an API key. The examples demonstrate how to connect Claude to the MCP Server using an HTTP endpoint and a header-based API key.

Code snippets shown in the configuration options illustrate how to add Profitelligence to Claude and how to share the MCP connection with Claude Desktop.

Available tools

pulse

Market snapshot: retrieve current market movers, high-impact filings, and macro indicators.

investigate

Deep research on a company, insider, or sector with comprehensive profiles and events.

screen

Find investment opportunities by signaling insider activity, events, or multi-signal criteria.

assess

Health check for a position you own, including price action, events, and sentiment.

institutional

13F institutional intelligence to track big money movements and holdings.

search

Cross-platform search for filings, companies, insiders, and managers.

service_info

Account and service information such as overview, pricing, and capabilities.

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