# Research Multi-API Search

> Use this tool when you need to conduct comprehensive web research across multiple sources, such as Brave Search, Tavily Search, and Wikipedia, to gather current information on a wide range of topics. It solves the problem of complex API interactions by intelligently routing queries to the most appropriate search providers and providing deduplicated results. Ideal for AI assistants, it accepts user queries as input and returns relevant search results as output, making it a valuable resource for general knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/riii111-research-multi-api-search  
JSON: https://api.skillsregistry.net/v1/skills/riii111-research-multi-api-search

## Description

ResearchMCP is a web search tool that combines multiple search APIs (Brave Search, Tavily Search, and Wikipedia) to provide comprehensive research capabilities through the MCP protocol. Built with Deno and Hono, it uses a hexagonal architecture with domain-driven design principles to intelligently route queries to the most appropriate search providers based on query classification. The implementation features automatic query categorization, parallel search execution, result deduplication, and caching to improve performance. It's particularly valuable for AI assistants that need to search the web for current information without requiring users to implement complex API interactions themselves.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/riii111-research-multi-api-search)
- **Repository:** <https://github.com/riii111/researchmcp>

## 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": "riii111-research-multi-api-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/riii111-research-multi-api-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/riii111-research-multi-api-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