"Discover" matching MCP servers:

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

MCP server providing component catalog tools (search_components, get_component_detail) for coding agents to discover and reuse UI components.

MCP server for the Solar framework. Gives AI agents live access to your component registry — call manifest(), component(), and validate() tools to discover, inspect, and validate Solar components at runtime.

Enables developers and AI agents to discover, rank, watch, and draft submissions for Gibwork coding bounties through MCP tools, with optional wallet-authenticated SDK support.

Enables a Grok Bot to reach a local MCP server over loopback to discover eligible projects, start or continue Codex CLI jobs in sandboxed modes, track results, and handle separate OpenAI Responses text requests.

MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.

Enables an OAuth-protected client to discover Paseo workspaces, dispatch Codex, Claude Code, or OpenCode tasks on a Mac, recover exact request results, and subscribe to agent messages and attention events.

Provides per-Subagent MCP controls to any coding agent or client across all your MCPs and prevents context window waste. Loads only 3 tools instead of all your MCP Server's tool definitions. Agents discover tools on-demand, only when needed and only the servers and tools they are allowed.

Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.