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Profitelligence
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python
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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.
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.