API Development MCPサーバー
api development向けの厳選されたMCPサーバーコレクションをご覧ください。5786個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Folderr
Enables interaction with Folderr's API for managing and communicating with Folderr Assistants using the Model Context Protocol.
Gmail AutoAuth
Enables AI assistants to manage Gmail through natural language interactions using a Model Context Protocol (MCP) server with auto authentication.
Cosense
Provides an MCP server for interacting with the Cosen.se platform.
Flux Image Generator
Generates images from text prompts using the Black Forest Lab's FLUX model.
OpenAPI
Provides a standardized interface for interacting with model services via a RESTful API, implementing the Model Context Protocol with OpenAPI documentation.
Proofly
Integrates with MCP clients to provide deepfake face swap analysis.
Webhook
Sends webhook notifications when called via Model Context Protocol (MCP).
Zanny's Memory Bank
Manages and retrieves textual memories using keyword detection and a flexible API.
Server Example
Provides a basic implementation of a Model Context Protocol (MCP) server using .NET.
YouTube
Enables AI language models to interact with YouTube content through a standardized interface.
Rongcloud Native
Provides a Rongcloud IM service based on the MCP protocol, wrapping the Rust SDK for seamless integration.
Lightning Tools
Enables LLMs to interact with lightning addresses and utilize common Lightning Network tools.
Selenium Grid
Enables AI Agents to request and manage Selenium browser instances through a secure API.
Axiom
Enables AI agents to query data using Axiom Processing Language (APL) in Node.js environments.
WebSocket
Implements a Model Context Protocol (MCP) server and client using WebSockets for improved communication with local language models.
Agent Toolkit
Demonstrates integrating AI agents with local and remote tool execution via MCP and Ollama.
Sanity
Enables interaction with Sanity.io content from Claude Desktop.
Typescript Roland
Serves a simple MCP server to introduce Roland.
Notion Integration
Enables language models to interact directly with the Notion API using the Model Context Protocol.
Go
Implements the Model Context Protocol (MCP) in Go, enabling integration between LLM applications, external data sources, and tools.
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