Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.
Apache 2.0
139,273 tools. Last updated 2026-05-26 11:07
"Sequential Thinking MCP (Model Context Protocol) Server" matching MCP tools:
- Verify connection and detect version drift for the SLAM Commerce MCP server by introspecting protocol versions, database status, and store metadata.MIT
- Update runtime configuration including model preset, model ID, thinking depth, or temperature. Changes apply instantly to all subsequent calls.MIT
- Clear authenticated client context from the Signal Found MCP server session to end user access and maintain security.MIT
- Find MCP servers by capability or name from a catalog of 9,000+. Use when you need a server for a specific task, such as postgres or video processing.MIT
- Retrieve the authenticated client context for the current Signal Found MCP server session to access user-specific data and permissions.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceSimple sequential thinking MCP in pythonLast updated13MIT
- Alicense-qualityCmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated261MIT
Matching MCP Connectors
Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
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
- Track and analyze MCP server and tool usage frequency across Cursor and Claude Code sessions to monitor AI coding analytics.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
- Analyze a query to determine if deeper thinking is required, assessing complexity and context for informed decision-making within the MCP Agile Flow server.
- Verify server health by implementing the MCP ping/pong protocol. Ensures MCP Kafka Schema Reg and clients stay connected and responsive.PythonMIT
- Create execution plans with sequential thinking, risk analysis, and resource estimation to coordinate multi-agent workflows.MIT
- Generate detailed thinking process text using Gemini's experimental model to analyze CSV data and perform complex reasoning tasks.
- Analyzes user prompts and LLM thinking to automatically inject relevant AutoHotkey v2 documentation context for coding assistance.
- Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.MIT
- Generate structured reasoning chains to break down complex topics into sequential thinking steps for clearer problem-solving and analysis.MIT
- Generate documentation for MCP servers to help developers understand and implement Model Context Protocol integrations with AI assistants.
- Generate MCP server documentation and configurations to build custom Model Context Protocol servers, integrating AI assistants, tools, and resources.
- Generate documentation for MCP servers to help developers understand and implement the Model Context Protocol with Claude, Cursor, and other AI assistants.
- Find keyword mentions in AI model outputs from ChatGPT and Google AI. Returns mention context and sources.MIT