发现我们为 api development 精心策划的 MCP 服务器集合。浏览 8474 个服务器,找到满足您需求的完美 MCP。
Provides an MCP server implementation for interacting with the Unstructured API, offering tools to manage data sources, destinations, and workflows.
Provides an unauthenticated remote Model Context Protocol (MCP) server for accessing the dev.to public API.
Enables AI models to interact with the Nostr decentralized social network.
Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.
Unifies multiple Model Context Protocol (MCP) servers into a single intelligent hub, simplifying tool discovery and management for AI assistants.
Extracts narrative and API documentation from a library in a format suitable for use with AI coding assistants.
Provides a ready-to-use server template for extending the Cursor IDE with custom tools and commands via the Model Context Protocol (MCP).
Integrates AI assistants with GitLab merge requests to facilitate code review.
Provides intelligent text summarization capabilities to manage context window size for AI agents by summarizing outputs from various actions.
Exposes Dify workflows as a Model Context Protocol (MCP) server for integration with AI clients.
Manages memory banks for AI assistants, providing context and persistent storage via local or remote SSH servers.
Manages and load-balances multiple Tavily API keys to enhance availability and increase request throughput for Tavily services.
Enables other tools like Claude to create and interact with OpenAI assistants through the Model Context Protocol.
Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.
Enables building Model Context Protocol (MCP) clients and servers in Go.
Enables AI models to access real-time flight search capabilities via the Model Context Protocol (MCP).
Retrieves IP address details using the ipinfo.io API.
Fetches and transforms web content into various formats such as HTML, JSON, Markdown, and plain text.
Enables AI systems and developers to create, manage, and deploy Model Context Protocol (MCP) servers using natural language.
Enables users to resolve production incidents from their IDE by integrating with the Rootly API.
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