developer tools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。18204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。
Manages model context protocol interactions through a plugin-based architecture, secure vault integration, and real-time web dashboard.
Enables Cursor AI to programmatically interact with and modify Figma designs using the Model Context Protocol.
Generates a Multi-Agent Conversation Protocol (MCP) server specifically designed for the Jellyfin OpenAPI specification.
Provides an AI-driven blockchain explorer for real-time data queries, account analysis, and transaction monitoring via natural language interaction.
Enhances local LLMs with agentic capabilities, enabling autonomous tool creation and invocation.
Coordinates work between multiple AI agents in shared codebases using a simple file-based signaling system to prevent conflicts.
Integrates Perplexity AI's real-time search capabilities and AI-powered answers with web sources and citations into the Model Context Protocol.
Provides persistent knowledge graph storage for AI assistants in VS Code, leveraging Azure Functions and Table storage.
Automatically guards projects against known security vulnerabilities in dependencies using the OSV.dev database.
Access Jina AI's Reader, Embeddings, and Reranker APIs, providing a comprehensive suite of tools for web content processing, search, and semantic analysis.
Query Codecov coverage data, supporting both codecov.io and self-hosted instances with configurable URL endpoints.
Provides an experimental server implementation designed for integration with coding assistant tools within the Apache Sling ecosystem.
Empowers AI to autonomously select and invoke diverse tools, facilitating automation from simple calculations to complex knowledge graph analysis using large language model function calling.
Automates the detection and masking of sensitive personal data in text, ensuring compliance with Russian Law 152-FZ.
Establishes a shared, local memory for AI assistants, automatically capturing ambient context from your environment to ensure consistent understanding.
Integrate AI coding tools with Seclai to manage agents, knowledge bases, and content sources via the Model Context Protocol.
Provides AI agents with structured access to Broad Institute's DepMap CRISPR datasets for high-performance functional genomics analysis.
Integrate multi-agent AI deliberation capabilities into MCP-compatible clients for enhanced discussion and decision-making.
Provides a high-performance Model Context Protocol (MCP) server for local semantic search and project context management, leveraging local embeddings and vector storage.
Provides a comprehensive Model Context Protocol (MCP) server for Umami Analytics API v2, offering full coverage with 66 tools, 2 resources, and 2 prompts.
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