The Excellence
Directory Platform Template

A service to run MCP stdio servers over Server-Sent Events (SSE), enabling scalable and real-time connectivity between clients and MCP servers.

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.

An open-source Model Context Protocol (MCP) server with a Python/Node.js hybrid architecture. Features include automatic API documentation parsing, self-healing connection pools, and GDPR-compliant audit trails, making it a robust solution for secure and scalable AI integration.

Tool to manage agent tools and MCP server configurations, helping orchestrate and configure multiple MCP servers. Directly relevant as an MCP server management tool.

Ectors is an actor-based MCP (Model Context Protocol) server that manages multiple routers with unique IDs. It supports various transport protocols for modular and composable MCP service delivery, making it a flexible solution for building and scaling MCP server infrastructures.

A proxy server that enables communication between clients and MCP-compatible services via JSON-RPC, forwarding requests to backend URLs while ensuring correct error handling and response formatting. Directly facilitates integration and interoperability for MCP servers.

A modular server framework for building and managing extensible MCP services, simplifying module loading and registration for MCP server development.

Facilitates discovery and intelligent routing of user requests to the most appropriate MCP servers using metadata-based search—crucial for scalable MCP server infrastructures.

Enables dynamic search and execution of tools available on ACI.dev, acting as a flexible MCP server for tool orchestration.

Proxy service that aggregates multiple MCP servers into a unified endpoint with configurable conflict resolution, transparent proxying, and enhanced error handling.

Server enabling the batching of multiple MCP tool calls into a single request, reducing token usage and network overhead for AI agents.

Platform enabling seamless connection of agents, LLMs, and IDEs to over 250 managed and federated MCP server implementations, expanding integration options.