全面解析Gotask 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,Gotask 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。
公开目录未提供摘要。
公开目录未提供摘要。
A Model Context Protocol server that provides LLM-friendly access to the official GovInfo API for searching and retrieving U.S. government documents including bills, laws, regulations, and other official publications.
An MCP server that enables users to search and navigate Madison, Wisconsin municipal ordinances using a TF-IDF search index. It provides specific code sections and citations to answer questions about local regulations like building permits and zoning.
An MCP server that automates the entire process of discovering, evaluating, and applying for government support programs in South Korea using natural language. It integrates multiple public APIs to provide eligibility checks, document preparation, application timelines, and benefit management tools.
Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.
Enables GPT-5 inference via OpenAI API with configurable reasoning effort, verbosity levels, and optional web search integration. Supports per-call parameter overrides for flexible AI model interactions through MCP.
a Nushell cross.stream extension to interact with LLMs and MCP servers
Enables AI-generated text detection using the GPTZero API. Provides confidence scores and detailed analysis to identify whether text was written by humans or AI, with multilingual support.
This MCP server enables natural-language querying of Grafana logs by automatically detecting log sources and service labels. It provides read-only access to log data with intelligent caching for efficient repeat queries.
Provides AI assistants with comprehensive access to Grafana's React component library, including TypeScript source code, MDX documentation, Storybook examples, test files, and design system tokens for building Grafana-compatible interfaces.
Integrates local Granola.ai meeting intelligence with Claude Desktop to enable searching and analyzing meeting transcripts, notes, and summaries. Users can perform natural language queries to retrieve meeting details, analyze participant patterns, and access full speaker-identified conversations.
Long-term Memory for AI. On Device. Secure. Coding tools, AI Agents. Instant Recall. Precise.
MCP Server that talks to Graph API
A Python-based MCP server that enables authenticated Microsoft Graph API calls through a RequestRocket proxy. It provides a single tool to interact with Microsoft services using standard HTTP methods and Graph API paths.
Provides persistent memory and context continuity for AI agents using Zep's Graphiti and Neo4j graph database. Enables storing, retrieving, and linking memories to build a knowledge graph accessible across Cursor and Claude.
Turn any GraphQL API into MCP tools. Zero config, zero code. Auto-introspection, flat InputObject schemas for better LLM accuracy, smart truncation, retry logic with exponential backoff.
Dev intelligence layer that builds a knowledge graph from any codebase and exposes 7 MCP tools for graph-powered reasoning, impact analysis, and preflight safety and governance checks.
36 tools for codebase dependency analysis, architecture mapping, circular deps, security scanning, dead code, git timeline, and CI tracking. Works with GitHub repos and local directories.


