모든 MCP 서버 탐색
AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Communication Server
Enables real-time data communication between web pages and clients via the Model Context Protocol.
Waifu
Retrieves anime character information through a tiny server.
Cloudinary Environment Config
Manage Cloudinary environment settings including transformations, streaming profiles, and upload presets programmatically.
Azure
Integrates Microsoft Azure cloud services with the Model Context Protocol to automate processes and enhance AI agents.
Python Template
Provides a minimal template for creating Model Context Protocol (MCP) servers using the Python SDK.
Multi-Agent Platform
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Flow
Provides local and remote servers to execute FlowMCP schemas for AI–API integration.
BCI
Integrates brain-computer interface technology with the Model Context Protocol for neural signal processing and AI interaction.
Frankfurter
Accesses the Frankfurter API to provide real-time and historical currency exchange rates, simplifying integration for language model agents.
Context Compose
Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.
Brave Search Context
Integrates Brave Search into the Zed editor's AI assistant panel.
Servers
Provides enterprise-ready server setups for integrating AI agents with various business platforms and cloud services.
DynamoDB Read-Only
Enables querying of AWS DynamoDB databases using natural language requests via the Model Context Protocol (MCP).
Uddeshya-23
Enables AI models to interact with Jira through a standardized Model Context Protocol interface.
Flash Cards
Manages flash card projects using OpenAI embeddings and SQLite for semantic search and storage.
Wizlights
Enables large language models to control WiZ smart lights through a Model Context Protocol (MCP) server.
Shell Executor
Provides safe shell command execution capabilities for AI agents and tools like VS Code Copilot.
Salesforce
Establishes a seamless bridge for integrating Salesforce with GenAI applications, simplifying management and data utilization.
Adrianozagallo
Deploys a Model Context Protocol server on Azure Kubernetes Service (AKS).
LibraryAI
Facilitates AI knowledge base creation and data processing using vector databases.
Jenkins
Integrates the Model Context Protocol (MCP) with Jenkins to enhance CI/CD workflows through intelligent automation.
Remote Cloudflare
Establishes a Model Context Protocol (MCP) server on Cloudflare Workers with bearer token authentication.
Learn MCP By Building
Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.
PocketBase
Provides a comprehensive Model Context Protocol (MCP) server for PocketBase, offering extensive user and superuser functionalities.
File System
Intelligently scans directories and files, leveraging large language models to uncover deeper insights within your file system.
Strands Q Index Perplexity
Enhances AI agent capabilities by integrating Amazon Q Business and Perplexity for efficient JIRA case management.
Heroicons
Exposes Heroicons as resources and tools for LLMs and agentic applications.
Ingest
Ingests APIs, SDKs, and schemas for consumption by AI models via the Model Context Protocol (MCP).
Testing Sensei
Guides AI coding tools to adhere to language-agnostic unit testing principles.
Example
Illustrates how to create a Model Context Protocol (MCP) server in C# for defining command-line or application-callable tools.
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