# io.github.spences10/mcp-omnisearch

> Use this tool when you need to integrate Omnisearch with Large Language Models (LLMs) to enhance search functionality. It solves problems related to information retrieval and knowledge management by providing a server for MCP (Model Serving) that enables seamless interaction between Omnisearch and LLMs. This tool takes in search queries as input and outputs relevant results, ideal for use cases requiring advanced search capabilities and AI-driven insights.

Canonical page: https://skillsregistry.net/skills/io-github-spences10-mcp-omnisearch  
JSON: https://api.skillsregistry.net/v1/skills/io-github-spences10-mcp-omnisearch

## Description

MCP server for integrating Omnisearch with LLMs

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.0.15
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.spences10%2Fmcp-omnisearch)
- **Repository:** <https://github.com/spences10/mcp-omnisearch>

## 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": "io-github-spences10-mcp-omnisearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-spences10-mcp-omnisearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-spences10-mcp-omnisearch/pull`

---
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