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458,343 tools. Updated 2026-08-16 20:21

"MCP (Model Context Protocol) requirements and selection" matching MCP tools:

  • Get the complete behavioral guide for opencode-mcp-bridge: model selection, event-driven async workflow, batch orchestration, guardrails, and diagnosing failed sessions. Read before delegating tasks.
    MIT
  • Search documentation in available docsets using regex patterns. Returns file path, line number, matched content, and surrounding context for precise navigation.
    MIT
  • Search MCP Protocol and FastMCP documentation to find relevant guides for building MCP servers, with ranked results and optional source filtering.
    MIT
  • Diagnoses the local MCP bridge state and EasyEDA Pro extension connection, providing protocol compatibility check, active document context, and suggested next steps to resolve issues.
    MIT

Matching MCP Servers

Matching MCP Connectors

  • Visa Requirements MCP — passport visa rules for any nationality → destination pair

  • Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.

  • Find MCP servers in the official registry by matching a substring in the server name. Get version, status, and description for each result.
    MIT
  • Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.
    Apache 2.0
  • Track and analyze MCP server and tool usage frequency across Cursor and Claude Code sessions to monitor AI coding analytics.
    MIT
  • Retrieve the current Power Automate context, capabilities, selection, and cached summaries to inspect and validate cloud flows.
    MIT
  • Test MCP protocol defenses against malformed JSON-RPC, overflow, and injection attacks with a focused protocol fuzzer.
    AGPL 3.0
  • Retrieve usage statistics for MCP servers and tools, including frequency and user filters, to analyze adoption over a specified date range.
    MIT
  • Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.
    MIT
  • Retrieve VRAM requirements, context window size, and tier classification for AI models to optimize resource allocation and model selection decisions.
  • Retrieve separation principles for presenting model explanations alongside business context to combine deterministic outputs with AI-interpreted guidance.
  • Engage in AI-driven conversations with customizable model selection to enhance communication and context understanding. Ideal for integrating intelligent dialogue into workflows.
    GPL 3.0