# Personal Research Assistant MCP

> Use this tool when you need to efficiently search and analyze a large collection of personal research documents. It solves problems of information overload and discovery by providing semantic search, document summarization, and related paper recommendations. The tool accepts document uploads and natural language queries as inputs, and outputs relevant search results, summaries, and recommendations.

Canonical page: https://skillsregistry.net/skills/chakri01-research-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chakri01-research-assistant-mcp

## Description

Enables semantic search and conversational querying across a personal research library of PDFs, DOCX, and other documents using a vector database. It provides tools for document summarization, finding related papers, and high-accuracy retrieval for AI clients like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bk7yf5a8xw)
- **Repository:** <https://github.com/chakri01/research-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": "chakri01-research-assistant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chakri01-research-assistant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chakri01-research-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