Multiagent Bridge
Facilitates secure collaboration among multiple LLM agents using the Model Context Protocol, featuring advanced safeguards, auditable logs, and rate limiting.
About
The Multiagent Bridge is a production-ready Python server designed for secure coordination among diverse LLM agents (e.g., Claude, GPT) through the Model Context Protocol. It enables agents to collaborate on complex workflows without sharing workspaces or credentials, emphasizing a security-first architecture. Key to its design are features like robust authentication, a unique 4-Stage YOLO Guard for command execution, configurable rate limiting to prevent abuse, and a comprehensive, tamper-evident audit trail for compliance and forensic analysis. This message-only bridge ensures isolated yet secure communication, returning proposals rather than auto-executing commands, making it ideal for development, testing, and human-supervised multi-agent systems.
Key Features
- Strict JSON schema validation for all Model Context Protocol tools
- Configurable rate limiting using a token bucket algorithm
- 4-Stage YOLO Guard™ for secured command execution
- Comprehensive JSONL audit trail with tamper-evident sequential logging
- HMAC-SHA256 session token authentication with automatic secret redaction
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Use Cases
- Backend agent coordinating with frontend agent on different codebases
- Security review agent validating changes from development agent
- Specialized agents collaborating on complex multi-step workflows
