# agentic-knowledge

> Use this tool when you need to efficiently navigate and retrieve information from documentation using AI assistants. It solves problems of traditional RAG limitations by leveraging built-in tools like grep and file reading, enabling more effective knowledge retrieval. This server takes in documentation and AI queries as inputs and outputs relevant information, making it ideal for use cases where rapid and accurate information extraction is crucial.

Canonical page: https://skillsregistry.net/skills/mrsimpson-agentic-knowledge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mrsimpson-agentic-knowledge-mcp

## Description

An MCP server that guides AI assistants to navigate documentation using their built-in tools (grep, file reading) instead of traditional RAG.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x0wtr3uje2)
- **Repository:** <https://github.com/codemcp/knowledge>

## 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": "mrsimpson-agentic-knowledge-mcp"
    }
  }
}
```

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