# calven-mcp

> calven-mcp — calven-ai-calven-mcp. Use this tool when you need to integrate AI agents with Calven's shared intelligence, enabling access to a unified knowledge base through the Model Context Protocol. It solves problems of isolated AI models by providing a shared understanding of project contexts, facilitating more informed decision-making. The tool accepts git-based inputs and outputs standardized model context data, ideal for use cases requiring collaborative AI model development and deployment.

Canonical page: https://skillsregistry.net/skills/calven-ai-calven-mcp  
JSON: https://api.skillsregistry.net/v1/skills/calven-ai-calven-mcp

## Description

Connect AI agents to Calven's shared PMM intelligence through Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/calven-ai/calven-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "calven-ai-calven-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/calven-ai-calven-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/calven-ai-calven-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt