Avierovich/openpitch

Overview

Open-source tool providing real-time, fully-sourced intelligence on AI startups. It is MCP-native and zero-cost, designed as a free alternative to PitchBook that AI agents can read. Built in Python.

Best for

Best for
Developers building AI agents that need startup intelligence without cost

Use cases

• Research AI startups for investment or partnership opportunities
• Feed AI agents with structured startup data via MCP
• Track real-time developments in the AI startup landscape

How to use

Install

uvx openpitch-mcp

Tools exposed

• get_metric
• get_provenance

Tested with

Claude Code, Codex

Example client config

{\n  "mcpServers": {\n    "openpitch": { "command": "uvx", "args": ["openpitch-mcp"] }\n  }\n}

Notes

Open-source tool providing real-time, fully-sourced intelligence on AI startups. It is MCP-native and zero-cost, designed as a free alternative to PitchBook that AI agents can read. Built in Python.

8 stars on GitHub. Last updated 2026-09-21. Licensed MIT.

Use cases

• Research AI startups for investment or partnership opportunities
• Feed AI agents with structured startup data via MCP
• Track real-time developments in the AI startup landscape

Pros

• Zero-cost and open-source, removing financial barriers
• MCP-native design enables direct integration with AI agents
• Fully-sourced data supports transparency and verification

Cons

• Low community adoption (8 stars) suggests limited testing and support
• Data coverage may be narrower than commercial alternatives like PitchBook
• Requires technical setup and Python environment to run

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.