Advertise
MCP.so
Sign In

Frontrun MCP Server

@jongall45

RepositoryHomepage

Basic information

License

MIT

Transports

stdio

Author

jongall45

Submitted by

Jon Gall

About Frontrun MCP Server

VC follow intelligence for AI agents. Track what top investors follow on X — detect new follows, convergence signals, and trending companies before they're announced.

#venture#investing#x#twitter

Frontrun MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "frontrun": {
      "command": "npx",
      "args": [
        "frontrun-mcp-server",
        "--setup"
      ]
    }
  }
}

Frontrun MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Frontrun?

Frontrun is an MCP server providing VC follow intelligence for AI agents. It monitors the X (Twitter) follow graphs of top investors, detecting new follows, convergence signals, and trending companies before they are publicly announced. It is designed for investors, analysts, and anyone tracking early-stage deal flow.

How to use Frontrun?

Set up via OAuth login (npx frontrun-mcp-server --login) or a manual API key from frontrun.vc. After authentication, configure your client using --setup for Claude Desktop or --setup-code for Claude Code. Then ask natural‑language questions such as “What are the trending companies this week?” or “Show me convergence signals.” Frontrun provides 33 tools—all callable automatically by the AI based on your query.

Key features of Frontrun

  • Monitors VC follow activity on X for early signals.
  • Detects convergence when multiple VCs follow the same entity.
  • Provides AI‑classified company profiles (sector, stage, founders).
  • Offers real‑time feed, trending scans, and thesis search.
  • Includes custom rules, tagging, and webhook support.
  • Accessible via MCP tools or equivalent REST API endpoints.

Use cases of Frontrun

  • Daily deal flow: scan trending companies and recent follows of tracked VCs.
  • Deep research: get comprehensive overviews of a startup, its founders, and funding.
  • Discovery: find early‑stage entities that multiple VCs are following but you haven’t tracked.
  • Portfolio monitoring: track specific VC accounts and their sector focus.
  • Custom intelligence: create rules to flag companies in defined niches (e.g., stablecoin neobanks).

Frequently asked questions

1

What signal does Frontrun detect?

VCs typically follow a company 2–8 weeks before a funding announcement. Convergence—multiple VCs independently following the same account—is the strongest signal.

2

How do I set up Frontrun?

You can use OAuth login (`npx frontrun-mcp-server --login`) which opens a browser and saves credentials locally, or obtain a manual API key (starts with `sig_`) from your frontrun.vc settings. Then configure your client with the provided `--setup` or `--setup-code` commands.

3

How is Frontrun priced?

Each query costs a certain number of credits (e.g., 4 credits for a preview, 60 for a company deep‑dive). Pro plans include 10,000 credits per month, and auto‑refill is available. Checking your balance and managing rules/tags is free.

4

Where does my data live?

Credentials are stored locally in `~/.frontrun/credentials.json`. All API responses are computed intelligence—not raw data—synthesized from multiple sources.

5

What clients does Frontrun support?

Claude Desktop, Claude Code, Cursor, and any MCP‑compatible client. Configuration examples are provided for each.

Comments

More MCP servers

Dreamwork

dreamworkhq

Dreamwork MCP server: job search, tailored application materials, and application tracking for AI assistants.

10

LocalCan

LocalCan

Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.

82

Gemini MCP

houtini-ai

Google Gemini MCP - Use Google's visual, video and chat capabilities in your AI Assistant. Uses MCP Apps to preview created images, landing pages, SVGs and video

34

Clipkit

clipkit-video

The video infra for AI agents: compose motion-graphics video from one JSON document (open Clipkit Protocol), validate before it costs anything, preview stills in-chat, and render deterministic MP4s on a GPU runtime.

11

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148
Advertise