tigranbs/mcgravity
mcgravity is a reverse proxy designed specifically for the Model Context Protocol (MCP), which enables AI models to interact with external tools via standardized servers. By sitting between MCP clients (such as AI agents or applications) and multiple backend MCP server instances, mcgravity provides a single unified endpoint that distributes incoming tool requests across the available servers. This load balancing mechanism, analogous to how Nginx handles HTTP traffic, allows horizontal scaling of AI tools—simply add more MCP server instances behind the proxy to handle increased demand or provide fault tolerance. Built in Rust for performance and reliability, mcgravity supports configurable load balancing strategies, health checks to detect unhealthy backends, and dynamic reconfiguration to adapt to changing infrastructure. The tool is open source and can be deployed as a standalone binary, making it suitable for both development and production environments where scaling AI tool access is critical.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
Developers building AI applications that leverage MCP servers often face scalability challenges: a single MCP server can become a performance bottleneck or a single point of failure as usage grows. mcgravity solves this by allowing multiple MCP server instances to be pooled behind a single proxy endpoint. Requests are automatically load balanced, increasing overall throughput and ensuring high availability even if some instances fail.
Use cases
- Horizontally scaling an AI agent that makes frequent tool calls by distributing requests across multiple MCP server replicas.
- Ensuring high availability for production AI services by failing over to healthy MCP server instances when others go down.
- Performing canary deployments or A/B testing of new MCP server versions by routing a subset of traffic to updated instances.
- Aggregating multiple specialized MCP servers (e.g., one for database access, another for API calls) into a single endpoint to simplify client configuration.
- Gradually migrating from an old MCP server implementation to a new one without downtime by running both behind the proxy.
Audience
- Developers
- ML Engineers
- Data Scientists
Pros
- Open source with permissive usage.
- High performance due to Rust implementation.
- Simple deployment as a single binary with configurable load balancing.
- Unified endpoint simplifies MCP client development and management.
- Increases scalability and fault tolerance of MCP-based AI tools.
Cons
- Limited documentation and community support as a relatively new project.
- Potential single point of failure if only one proxy instance is used without further redundancy.
- Dependent on the MCP ecosystem; may not support all emerging MCP features immediately.
Official website: https://github.com/tigranbs/mcgravity
Canonical LambdaBase page: https://www.lambdabase.com/tools/tigranbs-mcgravity