Fund Momentum MCP Server

Fund Momentum MCP Server

Connects Claude or any MCP-compatible AI to a database of 960+ active VC funds for searching, fund profiles, live GP signals, and AI-powered startup-investor matching.

Category
Visit Server

README

Fund Momentum MCP Server

960+ active VC funds. Live investor signals. AI-powered matching.

The Fund Momentum MCP server connects Claude, Cursor, or any MCP-compatible AI to our database of active venture capital funds — all raised capital since September 2024.

MCP Compatible API Version Starter Agent


Quickstart

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "fund-momentum": {
      "url": "https://fundmomentum.vc/_api/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Get your API key at fundmomentum.vc/pricing or register an agent key at fundmomentum.vc/for-agents. Restart Claude Desktop. Done.


Available Tools

Tool Tier Description
search_funds Starter Filter 960+ active VC funds by stage, country, industry
get_fund Starter Full fund profile with thesis, check size, team
get_fund_signals Pro / Agent Live GP signals, deployment status, founder playbook
get_gp_profile Pro / Agent Individual partner backgrounds, character tags, thesis
match_startup Pro / Agent AI matching — describe your startup, get top 10 investor matches

Pricing

Tier Price Calls Tools Best for
Free 0 0 manifest only - Browsing the API
Starter 49/mo 1,000/mo search_funds, get_fund Founders researching investors
Pro 299/mo 10,000/mo All tools Power users and small tools
Agent 0.01/call Unlimited All tools Autonomous agents and workflows
Enterprise Custom Unlimited All + SLA Accelerators and platforms

Agent Tier - Credit Bundles

No subscription. Credits never expire.

Pack Calls Price Rate
Starter 1,000 10 0.010/call
Standard 10,000 80 0.008/call - 20% off
Volume 100,000 500 0.005/call - 50% off

Buy agent credits: https://fundmomentum.vc/for-agents

Agent Self-Registration

Agents can register themselves without human approval:

curl -X POST https://fundmomentum.vc/_api/agent/register \
  -H "Content-Type: application/json" \
  -d '{"agent_name": "my-workflow", "email": "ops@yourcompany.com"}'

Response:

{
  "api_key": "abc123...",
  "agent_credits": 0,
  "status": "registered",
  "mcp_endpoint": "https://fundmomentum.vc/_api/mcp"
}

Every MCP response includes credit balance:

{
  "_meta": {
    "credits_remaining": 9847,
    "cost_per_call": "0.01",
    "billing": "per_call"
  }
}

When credits run out, the MCP returns:

{
  "error": {
    "code": -32001,
    "message": "Insufficient credits. Buy more at https://fundmomentum.vc/for-agents",
    "buy_url": "https://fundmomentum.vc/for-agents"
  }
}

Example Prompts (Claude Desktop)

For founders:

Which seed funds in Austria invest in B2B SaaS?
What is Speedinvest bullish on right now?
Match my startup: AI-native fintech, seed stage, raising 3M, Vienna
What should I know before pitching Point Nine Capital?
Show me active pre-seed funds in the UK focused on deep tech

For developers and agents:

Search for 20 seed funds in Germany and return as JSON
Get the GP signal profile for Accel latest fund
Match this description to investors: [paste startup description]

API Reference

Endpoint: POST https://fundmomentum.vc/_api/mcp
Protocol: JSON-RPC 2.0
Auth: X-API-Key header

search_funds

import requests

r = requests.post(
    "https://fundmomentum.vc/_api/mcp",
    headers={"X-API-Key": "YOUR_KEY", "Content-Type": "application/json"},
    json={
        "jsonrpc": "2.0", "method": "tools/call",
        "params": {
            "name": "search_funds",
            "arguments": {"stage": "seed", "country": "Germany", "limit": 10}
        },
        "id": 1
    }
)
funds = r.json()["result"]["content"][0]["text"]

Arguments: stage, country, industry, limit (max 20)

Stage values: pre_seed, seed, series_a, series_b, series_c, growth, late_stage

get_fund (Starter)

Full fund profile including name, country, fundingStage, fundSize, website, linkedin, fundManager, description, industries. Pro and Agent tiers also receive signal data.

get_fund_signals (Pro / Agent)

Returns: thesisTags, bullishSignals, contrarianSignals, founderDos, founderDonts, sweetSpot, activeStatus, deploymentProgress, freshnessScore (1-10), lastUpdated

get_gp_profile (Pro / Agent)

Returns: name, initials, role, characterTags, knownFor, linkedinUrl

match_startup (Pro / Agent)

r = requests.post(url, headers=headers, json={
    "jsonrpc": "2.0", "method": "tools/call",
    "params": {
        "name": "match_startup",
        "arguments": {
            "description": "B2B SaaS for estate management, DACH, pre-seed, raising 500K",
            "stage": "pre_seed",
            "country": "Austria"
        }
    }, "id": 1
})
# Returns top 10 matches with name, slug, match_reason, match_score, url

n8n Integration

HTTP Request Node, Method POST, URL https://fundmomentum.vc/_api/mcp, Header X-API-Key from env.

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": { "name": "search_funds", "arguments": { "stage": "seed", "limit": 20 } },
  "id": 1
}

Compatible With

LangChain, CrewAI, n8n, AutoGPT, LangGraph, OpenAI Agents SDK, Claude, Any MCP Client


Links

  • Website: https://fundmomentum.vc
  • MCP Overview: https://fundmomentum.vc/mcp
  • For Agents: https://fundmomentum.vc/for-agents
  • Pricing: https://fundmomentum.vc/pricing
  • GitHub examples: https://github.com/schneidavie/fundmomentum/tree/main/examples
  • Contact: michael@fundmomentum.vc

Fund Momentum tracks 960+ active VC funds raised since September 2024.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured