# Inkdex

> Use this tool when you need to efficiently search and retrieve relevant information from local markdown documentation. Inkdex solves the problem of information overload by indexing files and ranking search results using advanced algorithms like vector similarity and BM25 fusion. It takes in markdown files as input and outputs relevant search results, making it ideal for use cases where quick access to specific documentation is crucial.

Canonical page: https://skillsregistry.net/skills/kandobyte-inkdex  
JSON: https://api.skillsregistry.net/v1/skills/kandobyte-inkdex

## Description

Enables semantic search over local markdown documentation by indexing files and ranking results using vector similarity and BM25 fusion.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kdczn0srtj)
- **Repository:** <https://github.com/antonlunden/inkdex>

## 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": "kandobyte-inkdex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kandobyte-inkdex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kandobyte-inkdex/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