MCPAdapt is a framework that enables seamless integration with over 1000+ MCP servers, making it easy to use MCP server tools across various agentic frameworks such as Smolagents, CrewAI, Langchain, and Google GenAI. It provides adapters and core components to manage MCP server lifecycles and tool compatibility, directly supporting the 'Awesome MCP Servers' ecosystem.
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Middleware providing an OpenAI-compatible endpoint capable of calling MCP tools, acting as a bridge between OpenAI APIs and MCP servers.
Enables cloud-based AI services to access local Stdio-based MCP servers, making it easier to bridge between cloud and local MCP deployments.
A gateway demo for MCP SSE servers, facilitating standardized access and communication for MCP server deployments.
Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities. Highly relevant as a tool for managing and orchestrating MCP servers.
Provides a flexible agent framework with pre-configured MCP agents for tasks such as marketing, code review, and scheduling. Uses YAML configuration for dynamic agent creation, showcasing MCP server versatility.
Platform enabling seamless connection of agents, LLMs, and IDEs to over 250 managed and federated MCP server implementations, expanding integration options.
Category: MCP Middleware Orchestration
Source: GitHub Repository
MCPAdapt is a framework that facilitates seamless integration with over 650+ MCP servers, enabling agentic frameworks to access a wide range of tools and data. It provides adapters and core components to manage MCP server lifecycles and tool compatibility, supporting agentic frameworks such as Smolagents, CrewAI, Langchain, and Google GenAI. MCPAdapt is part of the "Awesome MCP Servers" ecosystem.
No pricing information provided; MCPAdapt is open-source.
integration middleware agent-framework compatibility