pulsemcp Safe content atomic mcp-remote

RelevanceAI

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.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/rleek/poc-mcp-proxy
Author type: human
Updated: 2026-04-25

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MCP

Resolve RelevanceAI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"