Enables delegation of immediate conversational messages and long-running background tasks to OpenClaw agents. It allows users to spawn research or monitoring tasks, check execution status, and manage active agent sessions within MCP-compatible clients.
全面解析Deep Research MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Deep Research MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install fire
Enables philosophical reasoning and concept analysis through NARS non-axiomatic logic integration, supporting multi-perspective synthesis, epistemic uncertainty tracking, and contextual semantic exploration with built-in truth maintenance.
This project implements the MCP Server for Open Formula 1 to gather F1 race, car, driver, lap and various other information.\\r\\n\\r\\nOpen Formula 1 is an open-source API that provides real-time and historical Formula 1 data.\\r\\n\\r\\nThe API offers a wealth of information, including lap timings, car telemetry, radio communications, and more. Whether you're looking to create interactive dashboards, dive deep into race analysis, or even develop connected objects that light up every time your favorite driver takes the lead, OpenF1 makes it all possible.
命令预览
python /path/to/OpenF1MCPServer.py [object Object]
An MCP server that turns natural-language descriptions into interactive HTML/JS UI components, leveraging OpenGenerativeUI and AG-UI protocol.
Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.
The batteries-included, No-Code FinOps automation platform, with the AI you trust.
Generate academic research papers from any topic using the OpenPaper API. Retrieves real citations from academic databases and produces citation-grounded papers in PDF, DOCX, and structured JSON formats.
全面解析Openregister MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Openregister MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
命令预览
pip install 'mcp[cli]' httpx dotenv\"
全面解析Openrouter Websearch MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Openrouter Websearch MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
全面解析Openrouter Search ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Openrouter Search Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
An MCP server for discovering and querying over 300 AI models available on OpenRouter. It enables users to list, search, filter, compare, and get detailed information about models with pricing, context limits, and capabilities.
Enables querying OpenTelemetry logs stored in OpenSearch across development and production environments. Provides tools for searching logs by various criteria including free-text Lucene queries, trace IDs, service names, error levels, and specific fields.
Enables LLMs to interact with OpenSearch clusters to monitor cluster health, manage indices, and perform data searches. It provides a standardized interface for real-time OpenSearch operations within MCP-compatible environments like Open WebUI.
全面解析Opentorah Ai MCP Sefaria ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Opentorah Ai MCP Sefaria Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
命令预览
npx -y @smithery/cli install mcp-sefaria-server --client claude
公开目录未提供摘要。
Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, Github, Juejin, and CSDN.
命令预览
npx -y smithery mcp add Aas-ee/open-websearch
全面解析Open WebsearchMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Open Websearch能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
命令预览
npm install && npm run build\"
全面解析Openwebui RAGMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Openwebui RAG能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
A standalone Python/FastAPI server that implements the Model Context Protocol (MCP) for the OPTIX threat intelligence platform. It exposes 26 analyst-friendly tools that AI assistants and programmatic consumers can use to query threat feeds, search documents and indicators, manage watchlists, triage IOCs, generate detection rules, trigger AI research, and produce intelligence reports.
