# Knowledge Assistant MCP

> Knowledge Assistant MCP — manishabose-knowledge-assistant-mcp. Use this tool when you need to analyze and extract insights from local documents while maintaining privacy and offline capability. It solves problems related to document discovery, reading, and summarization, allowing AI assistants to interact with various file formats such as PDF, Markdown, and TXT. The tool takes in local documents as input and outputs extracted information, summaries, and analysis, making it ideal for use cases where offline document processing is required.

Canonical page: https://skillsregistry.net/skills/manishabose-knowledge-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/manishabose-knowledge-assistant-mcp

## Description

Enables AI assistants to interact with local documents (PDF, Markdown, TXT) through tools for discovery, reading, extraction, summarization, comparison, keyword extraction, search, and analysis, ensuring privacy and offline capability.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/axyvuww9wc)
- **Repository:** <https://github.com/ManishaBose/knowledge-assistant-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": "manishabose-knowledge-assistant-mcp"
    }
  }
}
```

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