Dealroom MCP Server

Remote MCP server for the Dealroom API: search startups and investors, run ecosystem analyses, and benchmark companies through natural language.

Data & Enrichment by Dealroom.co OAuth2 active

Connect (Remote Server) Docs

Overview

Dealroom MCP is the official remote Model Context Protocol server for the Dealroom.co API. It connects AI assistants like Claude Desktop, Cursor, and other MCP-compatible clients to Dealroom's database of startups, scaleups, investors, funding rounds, and innovation ecosystems. The server adds an intelligent orchestration layer on top of the underlying API so that agents can run multi-step research workflows (search, analyze, compare) through a small set of high-level tools rather than raw endpoints.

Capabilities span three main areas: company intelligence (search, deep analysis, head-to-head comparison), investor intelligence (profiles, portfolios, activity, focus areas), and ecosystem intelligence (universities, founders, and funding transactions). The server is designed for VC sourcing, competitive benchmarking, market mapping, and due-diligence research where structured Dealroom data needs to be retrieved and reasoned over by an LLM.

The server is hosted by Dealroom at mcp.dealroom.co and exposes both an SSE endpoint and a standard HTTP MCP endpoint. Authentication is handled via Auth0 in the browser, and access is gated by a Dealroom API key, so a paid Dealroom subscription (or an API entitlement provided by a Customer Success Manager) is required.

Tools

Tool	Description
`find_company`	Intelligent single-company lookup with advanced filtering to resolve a specific company.
`analyze_company`	Comprehensive company analysis covering team, funding history, growth signals, competitors, and overview.
`compare_companies`	Side-by-side comparison of multiple companies across key metrics.
`search_companies`	Bulk company search with filters for industry, location, stage, and funding.
`find_investor`	Search and retrieve a detailed investor profile.
`analyze_investor`	In-depth investor analysis covering portfolio, focus areas, performance, activity, and network.
`search_investors`	Bulk investor search with filters for investor type, location, stage, and experience.
`analyze_university`	Analyze a university's entrepreneurship ecosystem, including spinouts and alumni-founded companies.
`analyze_founder`	Founder background and track record analysis.
`search_transactions`	Search funding rounds and transactions with intelligent filtering.

Setup Guide

Prerequisites

A Dealroom account with API access. If you do not have an API key, contact your Dealroom Customer Success Manager.
An MCP-compatible client (Claude Desktop, Cursor, VS Code, etc.).

Endpoints

Dealroom hosts the server. There is nothing to install or self-host. Point your client at one of:

SSE (recommended for streaming): https://mcp.dealroom.co/sse
HTTP: https://mcp.dealroom.co/mcp

Authentication is handled via Auth0 in the browser on first connection. The resulting access token is stored locally by your MCP client.

Claude Desktop / Cursor config

Add the remote server to your mcpServers config. For clients that support remote MCP servers directly:

{
  "mcpServers": {
    "dealroom": {
      "url": "https://mcp.dealroom.co/sse"
    }
  }
}

For clients that only support local stdio servers, use mcp-remote as a bridge:

{
  "mcpServers": {
    "dealroom": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.dealroom.co/sse"]
    }
  }
}

On first run, a browser window will open to complete the Auth0 sign-in flow against your Dealroom account.

References

Server landing page: https://mcp.dealroom.co/
Dealroom knowledge base: https://knowledge.dealroom.co/knowledge/model-context-protocol-mcp-support-for-dealroom-api

Use Cases

Source startups matching a thesis (e.g. "Series A climate-tech companies in the Nordics with at least 20 FTEs") and pull structured profiles into a memo.
Run competitive benchmarking across a set of named companies, comparing funding, team size, and growth signals.
Build investor target lists by filtering by stage, geography, and sector focus, then deep-diving into portfolios and recent activity.
Map university spinout ecosystems for tech-transfer or sourcing programs.
Pull recent funding transactions in a specific vertical to populate market-mapping reports or newsletters.

Example Prompts

"Find Series B fintech companies headquartered in Germany that raised in the last 12 months and compare their funding totals."
"Analyze Stripe vs Adyen vs Checkout.com on team size, funding, and growth signals."
"Which European VCs have led at least three Series A rounds in climate tech in the past two years?"
"Pull a portfolio analysis for Index Ventures and highlight their most active sectors over the last 18 months."
"Show me all spinouts from ETH Zurich that have raised institutional funding, grouped by sector."

Pros

Official remote server maintained by Dealroom, so no self-hosting and updates come directly from the data provider.
High-level orchestrated tools (find, analyze, compare, search) reduce the number of round-trips an agent needs versus raw API calls.
Covers the full Dealroom graph: companies, investors, founders, universities, and transactions.
Supports both SSE and HTTP MCP transports for compatibility with most clients.

Limitations

Requires a paid Dealroom subscription with API access; not usable without a Customer Success Manager provisioning a key.
Public technical documentation is thin; the detailed setup guide lives behind a Slite/knowledge-base link rather than an open repo.
No public source code or GitHub repository, so behavior and tool schemas cannot be independently audited.

Alternatives

Crunchbase API via a community MCP wrapper for similar company and funding data.
PitchBook for overlapping private-markets data (no official MCP server at time of writing).
Zapier MCP for Dealroom if you prefer routing Dealroom actions through Zapier's action layer.