OpenPitch MCP server

🪧 OpenPitch

The open, real-time intelligence layer for AI startups — that any agent can build on.

A free, open-source alternative to PitchBook & CB Insights, focused on the AI companies VCs actually care about.

MCP-native · zero-cost · fully-sourced · updated daily

Status: v0.1.3 — functional. The pipeline, reconciliation engine, MCP server, and

dashboard all work end-to-end. Coverage and source breadth keep growing via the daily run.

Browse the live dashboard →

Why OpenPitch exists

PitchBook and CB Insights cost $20k+/year — and for fast-moving AI startups, their data is often months stale, because human verification is slow. For a company growing 3× a year, a figure verified six months ago can be off by multiples.

Meanwhile, the real numbers are already public: founders state ARR on podcasts weeks before any database, funding hits SEC filings, hiring velocity reveals growth. They're just scattered, unstructured, and contradictory — exactly the problem an AI agent is built to solve.

OpenPitch's bet is latency, not coverage. For the AI companies that matter, a fresh, fully-sourced, confidence-scored number beats a verified-but-stale one. We don't claim certainty — we show you the receipts.

What you get

Ask your coding agent, get an answer with receipts:

> what's Sierra's valuation, with sources?

  Sierra — AI agents for customer service (sierra.ai)
  Valuation  $15.4B  [consensus · confidence 0.96] · as of 2026-05
  ↳ 10 public sources · Reuters · CNBC · The Information · qz.com
  ↳ $950M round closed May 2026 — led by Tiger Global and GV

(A real answer from the committed data — check it against the live dashboard.)

Every number carries its source, a confidence score, and a tracked history of how it changed.

Features

• 🎙️ Mines podcasts — founders leak metrics on podcasts before any database catches them. We transcribe and extract them.
• 🧾 Always sourced — every figure links to its origin (podcast timestamp, filing, article). No black-box numbers.
• 📊 Confidence-scored — built from source reliability, speaker authority, corroboration, and freshness (confidence decays as data ages).
• 🔀 Reconciles conflicts — when sources disagree, you get a consensus range + a contradiction flag, not a silent guess.
• 🧠 Learns which sources to trust — sources that prove right over time earn more weight.
• 🕒 Version-tracked — the git history is the audit log. See exactly how a company's reported ARR evolved.
• 📡 Composable — emits typed events other agents subscribe to (newsletters, press alerts, investor outbound).
• 🤝 A2A-discoverable — ships an A2A agent card so agent ecosystems can find and describe it.
• 🧯 Grounding — give your AI a sourced, confidence-scored fact base so it stops making up AI-company numbers.
• ⚡ 60-second install — no key, no signup; works in your agent in under a minute.
• 💸 Genuinely free — runs entirely on free tiers. No cost to run, no cost to use.

Quickstart — use it in Claude Code / Codex

No API key. No signup. No cost. The data is already built and committed; the MCP server just reads it, and your agent does the reasoning.

Fastest — zero install (reads the committed data from the public repo, no clone):

Shortened. The full README is on GitHub.