# doc-indexer-mcp

> doc-indexer-mcp — eztakesin-doc-indexer-mcp. Use this tool when you need to enable semantic search over various file types, such as PDF, Excel, SQL, Markdown, and HTML, to solve problems like information retrieval and document discovery. It takes in local documents and outputs searchable embeddings using Qdrant and Voyage AI, providing a powerful interface for querying and indexing large datasets. Ideal for use cases where intuitive and accurate document search is crucial, such as research, data analysis, or knowledge management.

Canonical page: https://skillsregistry.net/skills/eztakesin-doc-indexer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eztakesin-doc-indexer-mcp

## Description

Local document indexer MCP server for semantic search over PDF, Excel, SQL, Markdown, and HTML files using Qdrant and Voyage AI embeddings.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/eztakesin/doc-indexer-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": "eztakesin-doc-indexer-mcp"
    }
  }
}
```

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