# Document Search MCP Server

> Document Search MCP Server — suhasdesai02-mcp-doc-server. Use this tool when you need to efficiently search and retrieve relevant information from local documents, enabling models like Claude Desktop or Claude Code to reason over specific chunks of text. It solves problems related to information discovery and retrieval, particularly in scenarios where large volumes of local documents need to be ingested and searched. The tool takes in local documents as input and outputs relevant text chunks as results, ideal for use cases requiring advanced document analysis and insight generation.

Canonical page: https://skillsregistry.net/skills/suhasdesai02-mcp-doc-server  
JSON: https://api.skillsregistry.net/v1/skills/suhasdesai02-mcp-doc-server

## Description

An MCP server that enables Claude Desktop or Claude Code to ingest and search local documents using vector embeddings, returning relevant chunks as tool results for the model to reason over.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zs0cwcr18n)
- **Repository:** <https://github.com/suhasdesai02/mcp-doc-server>

## 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": "suhasdesai02-mcp-doc-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suhasdesai02-mcp-doc-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suhasdesai02-mcp-doc-server/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