developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10931개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Delivers real-time weather forecasts and alerts via Model Context Protocol for IDE integration.
Provides AI agents with secure, first-class access to Cezzis.com cocktail data, offering tools for searching, retrieving recipes, user authentication, and submitting ratings.
Enables interaction with REST APIs through tool definitions via an MCP server.
Demonstrates Model Context Protocol (MCP) implementation with a Go-based host orchestrating services from both Go and Python servers.
Manages and summarizes notes within a Model Context Protocol (MCP) server environment.
Integrates with Beancount ledgers to provide structured tools for financial management and natural-language querying.
Demonstrates a vulnerable server with multiple clients to showcase security weaknesses for educational purposes.
Transforms tools designed under the Modular Communication Protocol (MCP) into collaborative agents using the LangGraph framework.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote AI tool execution.
Integrates Jira and GitLab to enable AI agents to manage issues and branches across both platforms.
Integrates an MCP server directly as an asynchronous task within a Tokio runtime.
Provides persistent key-value storage capabilities for AI agents to manage and retain information.
Demonstrates a Model Context Protocol (MCP) server implementation using streamable HTTP transport with the FastMCP framework.
Performs automated accessibility testing on websites using Playwright and axe-core against WCAG standards, providing detailed compliance reports.
Integrates simple search and web crawling functionalities accessible via an MCP Server.
Connects to Dust.tt AI agents via HTTP calls, exposing their capabilities through the MCP interface.
Checks if provided context is safe by identifying potential code injection or harmful content.
Demonstrates the creation and usage of MCP clients and servers using Python.
Provides a versatile server for AI-powered customer service interactions, integrating with large language models and persisting conversation logs.
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