# RelevanceAI

> Use this tool when you need to integrate RelevanceAI's capabilities into conversations, providing access to its tools and enabling workflows that require its functionality without leaving the conversation interface. It solves problems by bridging the gap between Claude and RelevanceAI, allowing for seamless tool execution and listing within conversations. It takes environment variables and tool IDs as inputs and outputs tool listings and execution results, making it ideal for use cases that require RelevanceAI's features within a conversational context.

Canonical page: https://skillsregistry.net/skills/relevanceai  
JSON: https://api.skillsregistry.net/v1/skills/relevanceai

## Description

MCP Proxy POC provides a bridge between Claude and the RelevanceAI API, enabling access to RelevanceAI tools directly within conversations. This implementation authenticates with RelevanceAI using environment variables, fetches available tools from specified tool IDs, and handles both tool listing and execution through the Model Context Protocol. The server runs on stdio transport, making it compatible with Claude Desktop integration, and includes error handling for failed tool executions. Particularly useful for workflows that require RelevanceAI's capabilities without leaving the conversation interface.

## 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:** api-integration
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/relevanceai)
- **Repository:** <https://github.com/rleek/poc-mcp-proxy>

## 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": "relevanceai"
    }
  }
}
```

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