# ragmark

> ragmark — cdcoonce-ragmark. Use this tool when you need to efficiently search and navigate local markdown wikilink vaults, leveraging hybrid vector and lexical search capabilities to retrieve relevant information. It solves problems related to note organization, knowledge retrieval, and local data management, providing features like note reading, neighbor expansion, and recent activity tracking. Ideal for use cases where local data privacy and offline access are essential, with inputs including markdown files and outputs featuring relevant search results and note expansions.

Canonical page: https://skillsregistry.net/skills/cdcoonce-ragmark  
JSON: https://api.skillsregistry.net/v1/skills/cdcoonce-ragmark

## Description

Local-first MCP server for retrieval over markdown wikilink vaults, offering hybrid vector+lexical search, note reading, neighbor expansion, and recent activity tracking with fully local embeddings and no network egress.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/r9eutqesef)
- **Repository:** <https://github.com/cdcoonce/ragmark>

## 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": "cdcoonce-ragmark"
    }
  }
}
```

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