npm frontrun-mcp-serverstdioMITupdated 1mo ago
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.
frontrun mcp server で何ができる?
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.
33 tools. Version 2.5.2.
Setup (1 minute)
Option A: OAuth login (recommended)
No API key needed. Log in with your frontrun.vc account:
# Step 1: Log in — opens browser, saves credentials locally
npx frontrun-mcp-server --login
# Step 2: Auto-configure your client
npx frontrun-mcp-server --setup # Claude Desktop
npx frontrun-mcp-server --setup-code # Claude Code (uses `claude mcp add`)
Credentials are saved to ~/.frontrun/credentials.json. Other commands:
npx frontrun-mcp-server --status # Check auth status
npx frontrun-mcp-server --logout # Clear saved credentials
Option B: Hosted endpoint (no install)
The server is also hosted at https://www.frontrun.vc/mcp (streamable HTTP). Point any
remote-capable MCP client at it with your API key:
claude mcp add --transport http frontrun https://www.frontrun.vc/mcp --header "Authorization: Bearer sig_your_key_here"
Option C: Manual API key
If you prefer to use an API key directly, go to frontrun.vc → Settings > API Keys and generate a key (starts with sig_).
claude mcp add frontrun -e FRONTRUN_API_KEY=sig_your_key_here --scope user -- npx frontrun-mcp-server
Or add to .mcp.json in any project:
{
"mcpServers": {
"frontrun": {
"command": "npx",
"args": ["frontrun-mcp-server"],
"env": {
"FRONTRUN_API_KEY": "sig_your_key_here"
}
}
}
}
Add to your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"frontrun": {
"command": "npx",
"args": ["frontrun-mcp-server"],
"env": {
"FRONTRUN_API_KEY": "sig_your_key_here"
}
}
}
}
Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"frontrun": {
"command": "npx",
"args": ["frontrun-mcp-server"],
"env": {
"FRONTRUN_API_KEY": "sig_your_key_here"
}
}
}
}
FRONTRUN_API_KEY=sig_your_key_here npx frontrun-mcp-server
Start asking questions
Open your AI tool and try:
"What's trending in my tracked accounts this week?"
What can I ask?
Here are real prompts that work out of the box. Just type them into Claude Code, Claude Desktop, or Cursor.
Daily deal flow
- "What are the trending companies this week?"
- "Show me what my tracked VCs followed in the last 48 hours"
- "Any convergence signals? Who are multiple VCs following independently?"
Deep research
- "Tell me everything about @hitdotone — who founded it, what they're building, and who's backing them"
- "Who are the founders of @someproject and what's their background?"
- "What funding has @tempofinance raised?"
Discovery
- "Find me early-stage DeFi companies that my tracked VCs are following but I'm not tracking yet"
- "What sectors are getting the most attention from VCs right now?"
- "Search for stablecoin startups in the follow graph"
Portfolio monitoring
- "Track @a16zcrypto and @paradigm"
- "Show me a16zcrypto's recent follow activity and what sectors they're focused on"
- "Find VCs with similar follow patterns to @multicoin"
Custom intelligence
- "Create a rule to flag any stablecoin neobank companies"
- "Tag @hitdotone as a portfolio candidate"
- "Show me all entities matching my stablecoin rule from the last 7 days"
How it works
Frontrun monitors the X (Twitter) follow graphs of VCs and investors you choose to track. When a VC follows a new account, Frontrun detects it, classifies the entity (startup, protocol, founder, etc.), and makes it queryable through AI.
The signal: VCs typically follow companies 2-8 weeks before a funding announcement. Convergence — multiple VCs independently following the same account — is the strongest signal.
Receipts: @techdollarhq flagged at 13 followers, $3M pre-seed announced 123 days later · @orthogonal_sh flagged 184 days before its $4.3M round led by Pantera · @rialto_xyz flagged at 18 followers, 26 days before its Robinhood partner announcement.
What you're paying for: Every response is computed intelligence, not raw data. Sectors are classified by AI, convergence is detected algorithmically, and company profiles are synthesized from multiple sources.
Pricing
API + MCP access is included with the Pro plan ($99/mo) — it comes with 10,000 credits every month, and you can add more (or turn on auto-refill) at frontrun.vc/api/billing. Each query costs credits:
| What you're doing | Credits |
|---|---|
| Check your balance, list tracked accounts, manage rules/tags | Free |
| Preview an account, search, view sectors, pull a report | 4 |
| New follows, enriched follows, feed, company signals | 16 |
| Trending scan, VC activity | 24 |
| Thesis search, webhook setup (then 8/delivery) | 40 |
| Company deep-dive: overview, funding, convergence, resources, discover, similar VCs | 60 |
| Founder intelligence | 100 |
A typical daily check-in (feed + convergence + a few company deep-dives) runs ~300 credits — an included month covers it more than 30x over. Agent-scale usage is what auto-refill is for.
All available tools
The agent has access to these tools automatically. You don't need to call them by name — just ask your question and the agent picks the right tool.
Tracking
| Tool | What it does |
|---|---|
frontrun_status |
Your balance, tracked count, usage stats |
frontrun_list_tracked |
All accounts you're monitoring |
frontrun_track |
Start monitoring an X account |
frontrun_untrack |
Stop monitoring an account |
frontrun_preview |
Preview an account before tracking — signal score, sector hints, recommendation |
Signals
| Tool | What it does |
|---|---|
frontrun_new_follows |
New follows detected across your tracked accounts |
frontrun_snapshot |
Current follow list for a specific tracked account |
frontrun_enriched_follows |
New follows + AI classification + custom rules applied |
frontrun_convergence |
Multiple tracked accounts following the same entity |
frontrun_trending |
Entities ranked by follow velocity |
frontrun_search |
Search discovered entities by sector, keyword, type |
frontrun_thesis_search |
Semantic search — describe a thesis in plain language, get matching companies |
frontrun_feed |
Real-time activity feed across all tracked accounts |
frontrun_sectors |
Sector breakdown of discovered entities |
frontrun_discover |
Personalized recommendations — "accounts your VCs follow that you're not tracking" |
frontrun_reports |
Generated intelligence reports for your tracked accounts |
Company intelligence
| Tool | What it does |
|---|---|
frontrun_company |
Company overview — what they do, sector, stage |
frontrun_company_founders |
Founder profiles, backgrounds, previous companies |
frontrun_company_signals |
Social buzz, sentiment, notable engagements |
frontrun_company_resources |
Website, GitHub, docs, community links |
frontrun_company_funding |
Funding rounds, investors, amounts |
VC intelligence
| Tool | What it does |
|---|---|
frontrun_vc_activity |
VC follow patterns — velocity, sector focus, recent follows |
frontrun_vc_similar |
Find VCs with overlapping follow patterns |
Classification
| Tool | What it does |
|---|---|
frontrun_classify |
Run AI classification on specific entities |
frontrun_create_rule |
Create a custom classification rule |
frontrun_list_rules |
List your rules |
frontrun_update_rule |
Update a rule |
frontrun_delete_rule |
Delete a rule |
frontrun_tag |
Tag an entity with custom labels |
frontrun_list_tags |
List your tagged entities |
Webhooks
| Tool | What it does |
|---|---|
frontrun_list_webhooks |
List your registered webhooks |
frontrun_create_webhook |
Register a webhook for new_follows / convergence events |
frontrun_delete_webhook |
Delete a webhook |
REST API
Prefer HTTP? Every tool maps to a REST endpoint. Base URL: https://frontrun.vc/v1
# Set your key
export FR_KEY="sig_your_key_here"
# Check your account
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/status"
# What's trending?
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/trending?since=168h"
# Convergence signals
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/convergence?since=168h"
Full REST docs: frontrun.vc/docs/api
Support
License
MIT
インストール
frontrun mcp server をクライアントに追加します。お使いのものを選んでください。
claude mcp add frontrun-mcp-server -- npx -y frontrun-mcp-servercodex mcp add frontrun-mcp-server -- npx -y frontrun-mcp-serveramp mcp add frontrun-mcp-server -- npx -y frontrun-mcp-server{
"mcpServers": {
"frontrun-mcp-server": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"frontrun-mcp-server": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"frontrun-mcp-server","command":"npx","args":["-y","frontrun-mcp-server"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"frontrun-mcp-server": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"frontrun-mcp-server": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"frontrun-mcp-server": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"frontrun-mcp-server": {
"type": "local",
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"frontrun-mcp-server": {
"command": {
"path": "npx",
"args": [
"-y",
"frontrun-mcp-server"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y frontrun-mcp-serverRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
スコア
39 / 100
情報不足
- ドキュメント25/25
- メンテナンス25/25
- 信頼性13/20
- 機能0/15
- 導入のしやすさ12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 28 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
バージョン履歴
| バージョン | 公開日 |
|---|---|
| 2.6.0最新 | 2026年7月24日 |
| 2.5.2 | 2026年7月14日 |
| 2.5.1 | 2026年7月10日 |