CoSupport AI
MCP Registry
VS
MCP Server Hub
MCP Registry
MCP Registry serves as a centralized platform for discovering and utilizing Model Context Protocol (MCP) servers. These servers act as bridges, allowing large language models (LLMs) like Claude to interact directly with a wide array of external tools, APIs, and data sources.
By integrating these MCP servers, AI models gain expanded functionalities beyond their core training data. The registry features servers across various categories, including developer tools, databases, communication platforms, search engines, and more, effectively broadening the scope of tasks AI assistants can perform.
MCP Server Hub
MCP Server Hub is a platform designed to assist developers in the AI community by providing a comprehensive collection of Model Context Protocol (MCP) servers. It serves as a central repository where developers can discover, evaluate, and implement MCP servers to enhance their Large Language Model (LLM) applications. The hub aims to streamline the process of connecting LLMs with necessary external data sources and tools, fostering a standardized approach for LLMs to access and utilize required context.
This platform supports developers by offering curated reference implementations and community contributions, facilitating informed decisions through detailed information and examples for each server. MCP Server Hub also encourages a collaborative environment where developers can share their own server implementations, contributing to the innovation and establishment of best practices within the MCP ecosystem. Ultimately, it seeks to accelerate the development of more sophisticated AI applications by empowering developers to leverage the full potential of LLMs with secure and controlled access to tools and data.
Pricing
MCP Registry Pricing
MCP Registry offers Free pricing .
MCP Server Hub Pricing
MCP Server Hub offers Free pricing .
Features
MCP Registry
- Centralized Registry: Discover and manage MCP servers in one place.
- AI Capability Expansion: Enables LLMs to interact with external tools and services.
- Standardized Protocol: Utilizes Model Context Protocol for seamless integration.
- Diverse Server Categories: Includes servers for development, search, communication, data, and more.
MCP Server Hub
- Centralized MCP Server Repository: Offers a comprehensive collection of reference implementations and community-contributed MCP servers.
- Discovery and Evaluation Platform: Enables developers to find, assess, and implement suitable MCP servers for their LLM applications.
- Support for Multiple SDKs: Features MCP servers built using TypeScript SDK or Python SDK, offering flexibility to developers.
- Collaborative Ecosystem: Fosters a community where developers can share their own MCP server implementations and contribute to best practices.
- Standardized LLM Integration: Promotes the Model Context Protocol (MCP) for LLMs to securely access and utilize external data and tools.
Use Cases
MCP Registry Use Cases
- Enhancing AI assistants with real-time web search capabilities.
- Enabling LLMs to interact with databases (e.g., SQLite, PostgreSQL, Redis).
- Allowing AI models to manage code repositories (e.g., GitHub, GitLab).
- Integrating AI with communication platforms (e.g., Slack, Email).
- Connecting LLMs to developer tools and APIs.
- Automating workflows by connecting AI to services like Zapier.
MCP Server Hub Use Cases
- Finding MCP servers for AI-powered IDE development.
- Enhancing chat interfaces with external data access via MCP.
- Building custom AI workflows requiring LLM interaction with various tools and APIs.
- Discovering MCP servers for database interaction (e.g., Supabase, Tinybird, Neo4j, Qdrant, SQLite).
- Implementing MCP servers for cloud service management (e.g., Kubernetes with Metoro).
- Integrating LLMs with existing APIs using OpenAPI specifications via MCP proxies.
- Accessing web search, location services, or monitoring tools through MCP servers for LLM applications.
Uptime Monitor
Uptime Monitor
Average Uptime
99.79%
Average Response Time
271.3 ms
Last 30 Days
Uptime Monitor
Average Uptime
100%
Average Response Time
500.7 ms
Last 30 Days
MCP Registry
MCP Server Hub
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