# MarkIndex MCP

> Use this tool when you need to efficiently retrieve specific information from lengthy documents, as it enables accurate navigation and information retrieval using Page Index RAG methodology. It solves problems related to information overload and document complexity, allowing for precise data extraction. Ideal for use cases where large documents require detailed analysis, providing inputs of complex documents and outputs of relevant information.

Canonical page: https://skillsregistry.net/skills/rajfazulhussain2008-markindex-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rajfazulhussain2008-markindex-mcp

## Description

Enables LLMs to accurately navigate and retrieve information from complex documents using Page Index RAG methodology.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k33ogi3wk7)
- **Repository:** <https://github.com/rajfazulhussain2008/markindex-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": "rajfazulhussain2008-markindex-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajfazulhussain2008-markindex-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajfazulhussain2008-markindex-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