# Knowledge Raven

> Use this tool when you need to integrate and optimize your knowledge for AI agents, solving data fragmentation and searchability issues. The Knowledge Raven connects to various sources via 5 connectors and provides 3 search modes, streamlining information retrieval. It offers a unified MCP endpoint for seamless interface and efficient knowledge management.

Canonical page: https://skillsregistry.net/skills/com-knowledge-raven-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-knowledge-raven-mcp

## Description

Make your knowledge agent-ready. One MCP endpoint, 5 connectors, 3 search modes.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.knowledge-raven%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.knowledge-raven.com/mcp`

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": "com-knowledge-raven-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-knowledge-raven-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-knowledge-raven-mcp/pull`

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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