A proxy tool for composing and load balancing across multiple MCP servers, offering a unified endpoint. Useful for scaling AI tools via multiple MCP servers.
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Proxy service that aggregates multiple MCP servers into a unified endpoint with configurable conflict resolution, transparent proxying, and enhanced error handling.
Enables dynamic search and execution of tools available on ACI.dev, acting as a flexible MCP server for tool orchestration.
A comprehensive MCP server offering unified AI search across platforms (GitLab, Jira, Confluence, YouTube), a built-in RAG pipeline, and real-time collaboration API—ideal for enterprise AI development and cross-platform integration.
Platform enabling seamless connection of agents, LLMs, and IDEs to over 250 managed and federated MCP server implementations, expanding integration options.
Facilitates discovery and intelligent routing of user requests to the most appropriate MCP servers using metadata-based search—crucial for scalable MCP server infrastructures.
A Model Context Protocol (MCP) server that exposes Dify workflows as tools for AI systems, enabling dynamic tool discovery and execution across multiple Dify AI applications.
McGravity is a proxy tool designed to compose and load balance across multiple MCP (Model Context Protocol) servers, providing a unified endpoint. It enables scaling of AI tools by distributing requests across multiple MCP servers, functioning similarly to how Nginx operates for web servers.
tigranbs/mcgravity).config.example.yaml).mcp-middleware-orchestration
proxy, load-balancing, scaling, ai-integration
No pricing information provided; appears to be open source.