# ai.openarx/search

> Use this tool when you need to search and analyze scientific knowledge to inform decision-making or answer complex questions. The ai.openarx/search tool provides 15 search and analysis tools, including find_evidence, to help AI agents find relevant information and solve problems related to scientific inquiry. It is ideal for use cases where accurate and reliable scientific information is required, such as research, evidence-based decision-making, and knowledge discovery.

Canonical page: https://skillsregistry.net/skills/ai-openarx-search  
JSON: https://api.skillsregistry.net/v1/skills/ai-openarx-search

## Description

Open scientific knowledge MCP for AI agents. 15 search/analysis tools incl. find_evidence.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0-alpha
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.openarx%2Fsearch)
- **Repository:** <https://github.com/OpenArx-AI/openarx-core>

## Use it

MCP endpoint published by the skill: `https://mcp.openarx.ai/v1/mcp`

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": "ai-openarx-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-openarx-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-openarx-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
