お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Enables AI assistants to interact with the Sentry API for error data analysis, project management, and application performance monitoring.
Analyzes DWF (Design Web Format) files, extracting metadata and images, and performing visual analysis using Amazon Bedrock's Nova Pro model.
Provides MetaTrader5 market data and technical indicators through a Model Context Protocol server.
Connects to the Naver Maps API and Naver Search API to provide geocoding and local search functionalities.
Generates AI-powered images leveraging Azure DALL-E 3 and FLUX models within LibreChat environments.
Connects Large Language Models (LLMs) to the Prometheus HTTP API.
Provides LLDB debugging functionality for use with Claude or other AI assistants.
Manages Kubernetes clusters by exposing kubectl, Helm, and Kustomize capabilities via the Model Context Protocol.
Analyzes YouTube content by searching videos, extracting subtitles, and retrieving detailed channel information.
Enhances local LLMs with agentic capabilities, enabling autonomous tool creation and invocation.
Enables Large Language Models to co-debug Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and analytical capabilities through an OpenOCD proxy architecture.
Integrates Sequential Thinking as a context server for Zed's Assistant.
Provides comprehensive access to the Finnhub financial market data API for AI assistants.
Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration.
Provides a Model Context Protocol (MCP) server for Pendle Finance, delivering live yield data, DeFi simulations, and AI-powered predictions.
Enables AI assistants to access up-to-date documentation for Python libraries.
Provides AI-native access to the MITRE ATT&CK threat intelligence framework with over 80 tools for querying techniques, tactics, groups, software, and mitigations across Enterprise, Mobile, and ICS domains.
Enables large language models to seamlessly interact with MediaWiki installations as a bot user via the MediaWiki API.
Bridges Jira with the Model Context Protocol (MCP) for streamlined data interaction.
Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider.
Enables a web-based chat experience by leveraging MCP, specifically designed to mitigate long-term connection stability issues.
Provides structured access to the GTEx Portal API, enabling AI assistants to query and analyze genomics data through 25 specialized tools.
Provides RESTful API access to Ultralytics YOLO operations for various computer vision tasks including training, validation, prediction, export, tracking, and benchmarking.
Design and orchestrate sophisticated visual workflows to automate tasks, integrate systems, and leverage AI capabilities without extensive coding.
Provides an unofficial MCP server for the mapy.cz API.
Provides a persistent memory system for development workflows with semantic search, hierarchical compression, and long-term storage capabilities, circumventing LLM context window limitations.
Provides an MCP server for managing and processing source code.
Provides a high-performance Model Context Protocol server for USPTO Enriched Citation API v3, enabling AI-powered data extraction and token-saving context reduction for patent research.
Enables AI assistants to search, analyze, and provide intelligent booking recommendations for flights across multiple online sources.
Lints Python and JavaScript code by providing a REST API that returns a lint report in JSON format.
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