发现我们为 developer tools 精心策划的 MCP 服务器集合。浏览 12982 个服务器,找到满足您需求的完美 MCP。
Connects Toggl time tracking with MCP-compatible applications, enabling automated time entry and project management.
Provides comprehensive offline access, search, and retrieval of Washington State's Revised Code (RCW) and Administrative Code (WAC) for AI agents.
Enables Claude AI to manage Todoist tasks and projects programmatically through the Model Context Protocol.
Integrates itch.io API endpoints with Claude AI, allowing for programmatic access to game and purchase data.
Generates, stores, and renders invoices as JSON, LaTeX, and PDF, designed for single-company workflows with local file-system storage.
Extends the capabilities of AI assistants with multiple Model Context Protocol servers.
Enables AI tools to interact with and control Jenkins for tasks like job triggering and status retrieval.
Executes XPath queries on XML and HTML content, including fetching content from URLs.
Connects to the Falling Fruit API, enabling natural language queries to discover edible plants, find seasonal foraging opportunities, and get directions to fruit trees.
Enables AI models to seamlessly interact with MySQL databases by providing a standardized interface for various operations.
Extracts content from web pages using the UseScraper API.
Transcribe, summarize, and analyze audio content using intelligent processing.
Orchestrates multi-agent workflows leveraging local LLMs to process complex queries and facilitate contract analysis and comparison.
Empower hands-free control of your Claude Code coding environment on macOS using voice commands.
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Generates intelligent queries and documentation assistance for APIs using Claude AI.
Provides structured, machine-readable information about government offices, services, and permits from the City of Seattle and Puget Sound region, available as an NPM package and an MCP server.
Categorizes and organizes software tools.
Centralize management of multiple child Model Context Protocol servers through a unified interface.
Connects any OpenAI-compatible LLM API to the Model Context Protocol, enabling robust analysis and evaluation of large language model quality.
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