# roam-semantic-search

> roam-semantic-search — jpanico-roam-semantic-search. Use this tool when you need to perform intelligent searches within a Roam Research graph, enabling you to find relevant information quickly without relying on cloud services. It solves problems of information discovery and organization, providing hybrid retrieval and indexing capabilities. By using roam-semantic-search, you can input search queries and receive relevant results, all while keeping your content secure and local.

Canonical page: https://skillsregistry.net/skills/jpanico-roam-semantic-search  
JSON: https://api.skillsregistry.net/v1/skills/jpanico-roam-semantic-search

## Description

Enables fully local semantic search over a Roam Research graph via MCP, providing tools for hybrid retrieval, index refresh, and stats while keeping all content on-machine.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2gnp5obrl)
- **Repository:** <https://github.com/jpanico/roam-semantic-search>

## 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": "jpanico-roam-semantic-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jpanico-roam-semantic-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jpanico-roam-semantic-search/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