671,068 tools. Updated 2026-10-17 21:29
"Multi MCP (Model Context Protocol) implementation or management" matching MCP tools:
- Execute multi-step AI workflows with reduced context usage by keeping intermediate results in the workflow engine, supporting multiple model calls and tool integrations.MIT
- Send multi-turn chat requests to an Ollama model for conversational interactions with history, such as follow-ups or multi-step reasoning. Preserves context across messages.MIT
- Identify code chunks safe to drop from context, providing exact re-fetch keys for one-call restoration. Use when context pressure builds or before implementation.MIT
- Set up a download client in Sonarr by providing its configuration schema, including name, implementation, protocol, priority, and download handling options.MIT
- Convert a specification into implementation code for functions, classes, modules, or API endpoints. Provide context and constraints to align with existing code.MIT
- Delegate a single implementation, investigation, or verification task to a saved Codex worker in an isolated Git worktree; no mailbox or thread management needed.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceA production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.1MIT
- AlicenseNot gradedqualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Apache 2.0
Matching MCP Connectors
Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
- 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
- Scan MCP server design and implementation to verify tool definitions, schema validation, transport security, and error handling.MIT
- Extract an OCaml function implementation from Tezos protocol source code to inspect its logic and usage.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
- Discover available Minecraft servers and their details through the Minecraft Server Management Protocol (MSMP).MIT
- Retrieve Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.MIT
- Model multi-year Odoo total cost of ownership using plan, users, hosting, support, training, and implementation scale to estimate ERP expenses.MIT
- Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.MIT
- Retrieve full tag management system details, including platform, container ID, implementation type, server-side endpoint, and configuration notes.-
- Retrieve hierarchical context statistics to analyze multi-level context awareness and distribution with brain-inspired management.MIT
- Toggle IPv6 management on or off for a chosen protocol—HTTP, HTTPS, Telnet, Ping, or SSH—with confirmation required before changes take effect.MIT
- Enable AI-driven collaboration with automatic model switching and context optimization for advanced, multi-model conversational workflows.GPL 3.0
- Log architectural or implementation decisions with rationale and context to build durable project memory for coordinated multi-agent software delivery.-
- Retrieve a complete invocation record by ID, including frozen implementation, arguments, context, status, and output or failure details.-
- Get cross-model feedback on a code change before merging by running a multi-model review on a diff or file. Returns a PR comment body ready to post.MIT