# knowledge_mgmt

> Use this tool when you need to efficiently manage and retrieve information from large collections of documents. It solves problems related to document organization, search, and discovery by providing semantic search capabilities and support for multiple file types. The tool accepts document uploads as input and outputs relevant search results, making it ideal for use cases where knowledge management and information retrieval are critical.

Canonical page: https://skillsregistry.net/skills/mmaun-askmydocs  
JSON: https://api.skillsregistry.net/v1/skills/mmaun-askmydocs

## Description

Enables uploading, organizing, and semantically searching documents with support for various file types and embedding providers.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w4x384vff6)
- **Repository:** <https://github.com/mmaun/askmydocs>

## 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": "mmaun-askmydocs"
    }
  }
}
```

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