# Omnisearch

> Use this tool when you need to integrate multiple AI and web search providers for unified search and content processing, solving complex information retrieval and processing tasks across various domains. Omnisearch takes in queries and provider preferences as inputs and outputs relevant search results, AI responses, and extracted or enhanced content. It is ideal for use cases requiring dynamic provider selection and flexible content processing, such as AI-powered research, data extraction, and content generation.

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

## Description

Unified search and content processing MCP server that integrates multiple AI and web search providers like Tavily, Brave, Kagi, Perplexity, and Firecrawl. Provides a flexible tool registry with detailed provider descriptions, supporting search, AI response, content extraction, and content enhancement across various domains. Designed to enable AI assistants to dynamically select the most appropriate provider for complex information retrieval and processing tasks.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spences10-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": "spences10-omnisearch"
    }
  }
}
```

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