developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 13670개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides Formula 1 data access through various APIs for integration with large language models.
Enhances Large Language Model interactions by providing a persistent memory store, real-time file system monitoring, and intelligent context injection for development environments.
Wraps any command-line interface tool and exposes its subcommands as individual Model Context Protocol tools with type-safe parameters.
Simulates a weather data server compatible with the Model Context Protocol.
Exposes Twitter API functionalities like tweet posting, timeline retrieval, and search as JSON-RPC tools for MCP-compatible clients.
Automate Git push operations for multiple repositories through an MCP server.
Connects AI assistants to Amazing Marvin, a powerful task management and productivity system, via the Model Context Protocol.
Enables large language models to seamlessly interact with and manage Notion workspaces.
Enables interaction with MotherDuck and local DuckDB databases using the Model Context Protocol.
Provides Cargo project metadata information using the Model Context Protocol (MCP).
Connects AI clients to an urban intelligence knowledge graph for civic problem-solving through natural language queries.
Query and manipulate JSON data using powerful JSONPath expressions.
Sends STUN Binding Requests (RFC8489) and returns the results via MCP.
Provides a production-ready server and a comprehensive client for the FastMCP protocol, equipped with essential features for robust application development and deployment.
Monitors and logs running processes, making their output and status accessible to AI agents through the Model Context Protocol.
Provides core utility tools for interacting with the local file system and retrieving essential system information via a Model Context Protocol (MCP) server.
Provides an MCP server implementation for Frappe.
Interacts with the GitHub API to fetch user details, repository information, and authenticated user data.
Aggregates multiple Model Context Protocol servers behind a single interface, streamlining interaction for AI agents.
Enables AI applications to interact with CucumberStudio by providing contextual data and facilitating resource modification.
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