AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Manages AI model context through an enterprise-grade Model Context Protocol server, offering advanced security, scalability, and compliance for production AI deployments.
Provides an educational example of an MCP server to expose tools, resources, and prompts to AI clients using the FastMCP library.
Provides a server for creating and managing terminal sessions, enabling AI agents to interact with terminal environments programmatically.
Provides a Model Context Protocol (MCP) server for managing the Hadoop Distributed File System, enabling integration with MCP-compatible clients.
Integrate Paybyrd payment processing services with AI models for payment link creation, refund processing, and order information retrieval.
Automates the discovery and building of Model Context Protocol (MCP) services directly from Python files.
Provides utility tools for development and testing based on the Model Context Protocol (MCP).
Proxies requests to the Google Programmable Search Engine, providing caching, rate-limiting, and metrics.
Provides a robust, example implementation of a Model Context Protocol (MCP) server using the FastAPI framework.
Facilitates AI agents' access to BaSB workspaces via the Model Context Protocol.
Connects SendForSign API functionalities to an MCP client, facilitating template management.
Facilitates server interactions with Evolutivo.FW.
Infuses principles of vibe-coding, based on Rick Rubin's adaptation of the Tao Te Ching, into AI-driven development sessions.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Transforms codebases into intelligent embeddings, enabling semantic code search for large language models and multi-agent systems.
Provides PostgreSQL database operations through Model Context Protocol tools.
Enables managing GitHub repositories through natural language commands.
Integrate with the Cloudflare API to manage zones, DNS, KV storage, and cache operations via the Model Context Protocol.
Analyzes JavaScript, TypeScript, JSX, and TSX files using ESLint and custom rules to identify and suggest fixes for syntax errors, bugs, and code quality issues.
Connects AI systems to Elasticsearch clusters through a standardized Model Context Protocol interface.
Manages projects and tasks through a TypeScript-based REST API with Model Context Protocol integration.
Orchestrates enterprise-grade security tools with built-in safety, resilience, and comprehensive observability.
Renders and analyzes content from Baidu Baike (Chinese Wikipedia), extracting discussion data and providing structured insights.
Aggregates tools from external Model Context Protocol (MCP) CLI servers and exposes them over a single HTTP/SSE endpoint.
Integrates the Fake Store API with AI assistants, offering a comprehensive set of tools for e-commerce data interaction.
Enables the deployment of the BaSB-MCP protocol as a Cloudflare Worker for distributed processing.
Orchestrates comprehensive product development projects, enabling AI agents to manage lifecycles, track sprints, and collaborate through predefined roles.
Exposes the APLCart APL expression collection through an MCP server, offering comprehensive search capabilities including semantic queries.
Provides a backend service for handling email-related operations.
Manages orders through a REST API for a Model Context Protocol server.
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