An AI Gateway and registry layer that unifies MCP, A2A, REST, and gRPC services behind a single managed endpoint, providing centralised discovery, guardrails, policy enforcement, and optimised agent/tool invocation with plugin extensibility.
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Agent
ContextForge supports A2A (Agent-to-Agent) integration, allowing you to register external AI agents and expose them as MCP tools for seamless integration with other agents and MCP clients.
asit-piri/Agentic-Knowledge-To-Action
Agent
AutoGen is an open-source framework from Microsoft for building multi-agent systems. It supports tool calling and dynamic agent coordination.
asit-piri/Agentic-Knowledge-To-Action
Agent
The Bee Agent Framework is an open-source platform developed by IBM for building, deploying, and managing AI agents at scale. Integrating Bee with the Model Context Protocol (MCP) allows agents to dynamically discover and utilize tools hosted on MCP servers, enhancing their capabilities and flexibility.
asit-piri/Agentic-Knowledge-To-Action
Agent
CrewAI is a multi-agent orchestration framework that enables AI agents to collaborate on complex tasks. Integrating CrewAI with the Model Context Protocol (MCP) allows agents to dynamically discover and utilize tools hosted on MCP servers, enhancing their capabilities and flexibility.
asit-piri/Agentic-Knowledge-To-Action
Agent
This section provides guidance on integrating various AI agent frameworks with the Model Context Protocol (MCP) Gateway. MCP enables agents to dynamically discover and utilize tools across multiple servers, enhancing their capabilities and flexibility.
asit-piri/Agentic-Knowledge-To-Action
Agent
LangChain is a framework for developing applications powered by language models. Integrating LangChain with the Model Context Protocol (MCP) allows agents to utilize tools defined across one or more MCP servers, enabling seamless interaction with external data sources and services.
asit-piri/Agentic-Knowledge-To-Action
Agent
LangGraph is a framework for developing applications powered by language models. Integrating LangGraph with the Model Context Protocol (MCP) allows agents to utilize tools defined across one or more MCP servers, enabling seamless interaction with external data sources and services.
asit-piri/Agentic-Knowledge-To-Action
Agent
LlamaIndex is a framework for building retrieval-augmented generation (RAG) pipelines.
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Agent
OpenAI's Agents SDK supports structured tool use and multi-modal workflows. ContextForge can serve as a unified tool registry for OpenAI agents.
asit-piri/Agentic-Knowledge-To-Action
Agent
Semantic Kernel is a Microsoft OSS framework for building AI-first apps.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: