Connect AI agents to Calven's shared PMM intelligence through Model Context Protocol.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/calven-ai/calven-mcp{
"mcpServers": {
"calven-mcp": {
"command": "node",
"args": ["/path/to/calven-mcp/dist/index.js"]
}
}
}Resumen de MCP Servers
<p align="center">
<a href="https://calven.ai/mcp">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="docs/assets/symbol-white.svg">
<img src="docs/assets/symbol-dark.svg" width="72" alt="Calven">
</picture>
</a>
</p>
<h1 align="center">Calven MCP</h1>
<p align="center">Your approved ICP, positioning, messaging and competitive intel, with sources, in the AI tool your team already uses.</p>
<p align="center">
<a href="#connect">Connect</a> · <a href="#try-it">Try it</a> · <a href="use-cases/">Use cases by team</a> · <a href="https://calven.ai/mcp">calven.ai/mcp</a> · <a href="https://app.calven.ai/sign-up">14-day trial, no card</a>
</p>
<p align="center">
<a href="https://registry.modelcontextprotocol.io/?q=ai.calven"><img src="https://img.shields.io/badge/MCP_Registry-ai.calven%2Fmcp-7C3AED" alt="MCP Registry"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-262626" alt="MIT"></a>
</p>
<p align="center">
<img src="docs/assets/mcp-diagram.png" width="860" alt="Online research, documents, call notes, CRM and win/loss surveys flow through nine Calven agents into one GTM source of truth, which answers with sources in Claude, ChatGPT, Codex, Cursor, Copilot and other MCP clients">
</p>
Calven's nine product marketing agents keep one source of truth on your market, buyers and positioning. Calven MCP puts it inside Claude, ChatGPT, Codex, Cursor, Copilot and other MCP clients that sign in with OAuth (see [client support](docs/client-support.md)), so sales, marketing, product and leadership work from the same answers your team approved.
## Connect
Paste this URL where your client asks for an MCP server, choose **OAuth** if asked, and sign in to Calven:
```text
https://api.calven.ai/mcp
```
You need a Calven workspace ([14-day trial, no card](https://app.calven.ai/sign-up)). Using another client? See [client support](docs/client-support.md).
<details>
<summary><b>Claude</b> (claude.ai, desktop)</summary>
**Customize → Connectors → Add custom connector**, paste the URL (name it `Calven` if asked), **Add**, then **Connect** and sign in to Calven. If the dialog asks how Claude identifies itself, choose **Use Claude's published identity**; automatic (dynamic) registration does not work with Calven. In a chat, turn Calven on under **+ → Connectors**.
On Team and Enterprise plans, an Owner adds the connector once: **Organization settings → Connectors → Add → Custom → Web**, paste the URL, **Add**. Each member then opens **Customize → Connectors**, finds Calven with the **Custom** label, and clicks **Connect**.
</details>
<details>
<summary><b>ChatGPT</b></summary>
Open **Plugins** in ChatGPT (`chatgpt.com/plugins`), select the plus button, then **Add custom MCP server**. Name it `Calven`, enter the URL as the **Server URL**, choose **OAuth**, accept the risk warning and select **Create as a plugin**. Install Calven from your personal plugins, then type `@` in a chat and select it. Your plan and workspace settings decide whether you can add custom MCP servers; see OpenAI's [Add custom MCP server](https://developers.openai.com/api/docs/guides/custom-mcp-server) guide.
</details>
<details>
<summary><b>Cursor</b></summary>
[](https://cursor.com/install-mcp?name=calven&config=eyJ1cmwiOiJodHRwczovL2FwaS5jYWx2ZW4uYWkvbWNwIn0%3D)
Or add this to `~/.cursor/mcp.json`:
```json
{ "mcpServers": { "calven": { "url": "https://api.calven.ai/mcp" } } }
```
</details>
<details>
<summary><b>VS Code and GitHub Copilot</b></summary>
[](https://vscode.dev/redirect/mcp/install?name=calven&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fapi.calven.ai%2Fmcp%22%7D)
Or command palette → **MCP: Add Server** → **HTTP**, paste the URL, name it `calven`.
</details>
<details>
<summary><b>Claude Code and Codex</b></summary>
Register the server, then sign in. Each `login` opens your browser for the Calven sign-in.
```sh
claude mcp add --transport http calven https://api.calven.ai/mcp
claude mcp login calven
codex mcp add calven --url https://api.calven.ai/mcp
codex mcp login calven
```
Inside a Claude Code session, you can instead run `/mcp`, select `calven` and follow the browser sign-in.
</details>
## Try it
**Sales:** walk into every deal knowing how you win it.
```text
Why did we lose our last three deals to Acme? Quote the buyers, then give me the first question to ask on my next call against them.
```
**Marketing:** campaigns in the buyer's words.
```text
Draft three ad headlines for Heads of Data in our customers' own words, then tell me which one our personas would pick.
```
**BDRs:** outreach tested on the buyer before it's sent.
```text
Would our buyer persona reply to this email? If not, rewrite it in our customers' words. [paste email]
```
**Product:** build what wins deals.
```text
Which product gaps cost us deals this year? Rank them by deals lost and quote the buyers.
```
**Leadership:** win rate you can trust.
```text
What is our win rate by competitor this year versus last, and why do we win and lose? Cite n.
```
**Anyone:** no unsupported claims.
```text
Check every product, pricing and competitor claim in this draft against our approved product brief and battlecards. [paste draft]
```
190 use cases for 19 teams, each with ready-to-paste prompts, in [use-cases/](use-cases/).
## What it reads, and what it won't do
Your assistant reads, with sources: positioning, messaging, ICP and product brief; competitor dossiers and battlecards; personas; calls, customer quotes and win/loss; market trends; Insights dashboards; and CRM accounts and deals where your workspace allows it.
- **Results carry their sources.** An empty result says nothing is recorded. Calven does no web search, and its server instructions tell the model not to fill gaps from its own knowledge.
- **Thirteen read tools and one review action**, listed in the [tool catalog](docs/tool-catalog.md), plus four server prompts. The action, `review_against_personas`, starts a review task in Calven and returns findings. No tool edits your workspace content, and nothing is published or sent.
- **Your permissions.** Each user signs in as themselves and sees only what their Calven role allows. Admins decide whether transcripts and pipeline are readable over MCP. Removing a user removes their MCP access.
> [!IMPORTANT]
> Answers contain your company's confidential data. Use an AI client and model provider your organization has approved. See [data handling](docs/data-handling.md).
Data is stored in the EU, a DPA with EU SCCs covers every plan, and the SOC 2 Type I audit is in progress. Details on the [Trust Center](https://trust.calven.ai).
## The plugin
The Calven plugin ([Agent Plugins 1.0](https://agent-plugins.org/)) adds three workflows on the same server: a **workspace brief**, a **competitive brief** and a **persona copy review**. Contents and requirements: [plugin](docs/plugin.md).
## Help
[calven.ai/mcp](https://calven.ai/mcp) · [Troubleshooting](docs/troubleshooting.md) · [Open a connection issue](https://github.com/calven-ai/calven-mcp/issues/new/choose) · support@calven.ai
This repository is the public distribution surface for Calven's hosted MCP server; the server source is private. Manifests, validation and contribution rules are in [docs/](docs/) and [CONTRIBUTING.md](CONTRIBUTING.md). Report security issues through [SECURITY.md](SECURITY.md).
<p align="center"><sub>This repository is MIT licensed; the Calven service is not · <a href="https://calven.ai/privacy">Privacy</a> · <a href="https://calven.ai/terms">Terms</a></sub></p>
Lo que la gente pregunta sobre calven-mcp
¿Qué es calven-ai/calven-mcp?
+
calven-ai/calven-mcp es mcp servers para el ecosistema de Claude AI. Connect AI agents to Calven's shared PMM intelligence through Model Context Protocol. Tiene 2 estrellas en GitHub y su última actualización registrada es del 2026-10-14.
¿Cómo se instala calven-mcp?
+
Puedes instalar calven-mcp clonando el repositorio (https://github.com/calven-ai/calven-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar calven-ai/calven-mcp?
+
Nuestro agente de seguridad ha analizado calven-ai/calven-mcp y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene calven-ai/calven-mcp?
+
calven-ai/calven-mcp es mantenido por calven-ai. La última actividad registrada en GitHub es del 2026-10-14, con 0 issues abiertos.
¿Hay alternativas a calven-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega calven-mcp en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/calven-ai-calven-mcp)<a href="https://claudewave.com/repo/calven-ai-calven-mcp"><img src="https://claudewave.com/api/badge/calven-ai-calven-mcp" alt="Featured on ClaudeWave: calven-ai/calven-mcp" width="320" height="64" /></a>Más MCP Servers
Reverse engineer anything with agents, from app behavior down to native binaries.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev