Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Track what 1,000+ VCs follow on X to surface startups before their round. Signal for AI agents.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
FRONTRUN_API_KEYLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"frontrun": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
],
"env": {
"FRONTRUN_API_KEY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add frontrun --env FRONTRUN_API_KEY=your-value -- npx -y frontrun-mcp-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"frontrun": {
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
],
"env": {
"FRONTRUN_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"frontrun": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"frontrun-mcp-server"
],
"env": {
"FRONTRUN_API_KEY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub jongall45, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: FRONTRUN_API_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.6.0) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.
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
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
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"
If you prefer to use an API key directly, go to frontrun.vc → Settings > API Keys and generate a key (starts with sig_).
Claude Code
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" } } } }
</details>
Claude Desktop
Add to your config file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "frontrun": { "command": "npx", "args": ["frontrun-mcp-server"], "env": { "FRONTRUN_API_KEY": "sig_your_key_here" } } } }
</details>
Cursor
Add to .cursor/mcp.json in your project:
{
"mcpServers": { "frontrun": { "command": "npx", "args": ["frontrun-mcp-server"], "env": { "FRONTRUN_API_KEY": "sig_your_key_here" } } } }
</details>
Any MCP-compatible client
FRONTRUN_API_KEY=sig_your_key_here npx frontrun-mcp-server
Open your AI tool and try:
"What's trending in my tracked accounts this week?"
Here are real prompts that work out of the box. Just type them into Claude Code, Claude Desktop, or Cursor.
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.
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.
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.
| 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 |
| 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 |
| 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 |
| Tool | What it does |
|---|---|
frontrun_vc_activity | VC follow patterns — velocity, sector focus, recent follows |
frontrun_vc_similar | Find VCs with overlapping follow patterns |
| 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 |
| 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 |
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"
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/status"
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/trending?since=168h"
curl -sL -H "X-API-Key: $FR_KEY" "https://frontrun.vc/v1/convergence?since=168h"
Full REST docs: frontrun.vc/docs/api
MIT