Discover our curated collection of MCP servers for api development. Browse 9312servers and find the perfect MCPs for your needs.
Provides an MCP server for managing n8n workflows, enabling AI agents to interact with the n8n API for automation and control.
Extends language models like Claude by providing access to external resources and tools via the Model Context Protocol.
Facilitates advanced quantum systems analysis and simulation, covering quantum computing, chemistry, many-body physics, and quantum field theory calculations.
Provides real-time and forecasted weather information via an integrated Model Context Protocol (MCP) server.
Enables AI assistants to access and utilize the searchapi.io API for tasks like searching Google Maps, flights, hotels, and more.
Facilitates natural language querying of live PayPal data for Large Language Models through CData JDBC Drivers.
Enables query and invocation of Dify workflows within an MCP server environment.
Provides a foundational template for developing hot-reloadable Model Context Protocol servers.
Enables language models to interact with external systems through a powerful tool-extensibility protocol.
Integrates LightRAG capabilities with AI tools via a unified MCP protocol interface.
Provides AI assistants with access to browse and read files from specified GitHub repositories using the Model Context Protocol.
Provides a complete Model Context Protocol (MCP) implementation, enabling AI agents to interact with the Stability blockchain without gas fees.
Enables AI agents to send SMS messages and retrieve related information via the Aligo SMS API using the Model Context Protocol (MCP).
Enables Claude to interact with Discord servers through tools that send and read messages, and manage server resources.
Access Indian Railway (IRCTC) train information, including PNR status, live train running status, and train schedules between stations.
Enables AI assistants like Claude to interact with Quickbase's API for managing apps, tables, fields, records, and reports.
Provides seamless integration of RAP2 API documentation and interface management into AI programming assistants, enabling Large Language Models (LLMs) to directly access and operate RAP2 interface documents.
Executes system commands securely through LLM applications using a whitelist.
Serves live weather data and forecasts via REST and MCP APIs, optimized with built-in database caching to reduce external calls.
Facilitates AI models in accessing Colorado Division of Water Resources data, rights, permits, and administrative information through a REST API.
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