A SSE-based MCP router providing an extensible routing engine for integrating enterprise systems with AI agents using MCP.
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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.
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.
Integrates Dify's AI application development platform with MCP-compatible tools and services, enabling seamless extension of Dify applications while maintaining MCP server compatibility.
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.
Foxy Contexts enables declarative MCP server development in Golang, with built-in functional testing to ensure reliable Model Context Protocol implementation.
An MCP and MCP SSE server that auto-generates APIs based on database schema and data. Supports multiple databases including PostgreSQL, Clickhouse, MySQL, Snowflake, BigQuery, and Supabase.
Category: mcp-middleware-orchestration
Source: wanaku on GitHub
Wanaku is a router for AI-enabled applications powered by the Model Context Protocol (MCP), an open protocol to standardize how applications provide context to large language models (LLMs). It is designed as an SSE-based MCP router providing an extensible routing engine, enabling integration of enterprise systems with AI agents using MCP.
Wanaku is open source and available under the Apache-2.0 license. No pricing plans are listed.
sse, middleware, routing, enterprise, mcp