# Inkeep RAG

> Use this tool when you need to search and retrieve relevant documentation without leaving a conversation, solving problems of information retrieval and reference in technical support, developer assistance, and knowledge-based interactions. It takes a search query as input and returns structured citation data as output, requiring an Inkeep account and API key for configuration. This tool is ideal for use cases where users require quick access to documentation, such as troubleshooting or coding tasks.

Canonical page: https://skillsregistry.net/skills/inkeep-rag  
JSON: https://api.skillsregistry.net/v1/skills/inkeep-rag

## Description

Inkeep MCP Server enables Claude to search and retrieve relevant documentation through Inkeep's RAG API. The server exposes a single 'rag-search' tool that queries Inkeep's API using the OpenAI client library, returning structured citation data compatible with Claude's citation format. It requires an Inkeep account and API key, and is configured through environment variables. This implementation is particularly valuable for workflows where users need to reference documentation without leaving their conversation with Claude, making it ideal for technical support, developer assistance, and knowledge-based interactions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inkeep-rag)
- **Repository:** <https://github.com/inkeep/mcp-server-python>

## 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": "inkeep-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inkeep-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inkeep-rag/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