McGravity
A proxy tool for composing multiple MCP servers into one unified endpoint. Scale your AI tools by load balancing requests across multiple MCP servers, similar to how Nginx works for web servers.
What is McGravity?
McGravity is a proxy tool designed to unify multiple Machine Communication Protocol (MCP) servers into a single endpoint, allowing for efficient load balancing and scaling of AI tools.
How to use McGravity?
To use McGravity, install it via Docker or build it from source, then run the command with the addresses of the MCP servers you want to connect.
Key features of McGravity?
- Connects multiple MCP servers through one endpoint
- Balances load between MCP servers
- Provides a single access point for applications
- CLI tool with plans for a full-featured proxy interface
Use cases of McGravity?
- Simplifying access to multiple AI tools hosted on different MCP servers.
- Load balancing requests to enhance performance and reliability.
- Serving as a unified interface for applications that rely on multiple MCP servers.
FAQ from McGravity?
- Can McGravity connect to any MCP server?
Yes, as long as the server follows the MCP protocol.
- Is McGravity easy to install?
Yes, it can be installed via Docker or built from source with simple commands.
- What are the future plans for McGravity?
Future updates will include a web interface, advanced load balancing, health checks, and more.
What is McGravity?
McGravity is a proxy tool designed to unify multiple Machine Communication Protocol (MCP) servers into a single endpoint, allowing for efficient load balancing and scaling of AI tools.
How to use McGravity?
To use McGravity, install it via Docker or build it from source, then run the command with the addresses of the MCP servers you want to connect.
Key features of McGravity?
- Connects multiple MCP servers through one endpoint
- Balances load between MCP servers
- Provides a single access point for applications
- CLI tool with plans for a full-featured proxy interface
Use cases of McGravity?
- Simplifying access to multiple AI tools hosted on different MCP servers.
- Load balancing requests to enhance performance and reliability.
- Serving as a unified interface for applications that rely on multiple MCP servers.
FAQ from McGravity?
- Can McGravity connect to any MCP server?
Yes, as long as the server follows the MCP protocol.
- Is McGravity easy to install?
Yes, it can be installed via Docker or built from source with simple commands.
- What are the future plans for McGravity?
Future updates will include a web interface, advanced load balancing, health checks, and more.