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grafbase/nexus
Nexus is an AI tool aggregation gateway that connects multiple MCP servers and LLM providers, offering tool search, execution and model routing through a unified endpoint, with secure authentication and rate limiting.
See repository
Setup steps are in the repository README.
Plug in all your MCP servers, APIs, and LLM providers. Route everything through a unified endpoint. Aggregate, govern, and control your AI stack.
MCP Server Aggregation: Connect multiple MCP servers (STDIO, SSE, HTTP) through a single endpoint
LLM Provider Routing: Unified interface for OpenAI, Anthropic, Google, and AWS Bedrock LLM providers with full tool calling support
Context-Aware Tool Search: Intelligent fuzzy search across all connected tools using natural language queries
Protocol Support: Supports STDIO (subprocess), SSE (Server-Sent Events), and streamable HTTP MCP servers
Flexible Configuration: TOML-based configuration with environment variable substitution
Security: Built-in CORS, CSRF protection, OAuth2, and TLS support
Rate Limiting: Multi-level rate limiting with in-memory or Redis backends
Docker Ready: Available as a container image with minimal configuration needed
OpenAI
Full support including parallel calls and streaming tool calls
Anthropic
Tool calling with robust function definitions and tool choice controls
Function calling with JSON schema validation and tool selection
Jaeger
Full trace visualization and analysis
Zipkin
Distributed tracing system
Datadog
APM and distributed tracing
search
A context-aware tool search that uses fuzzy matching to find relevant tools across all connected MCP servers
execute
Executes a specific tool with the provided parameters
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

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