Power your agent
Install from the publisher. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
No packaged release in the registry yet. Follow the repository README.
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchOverview
Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode. Works with any SDK or agent and adds under 200µs of overhead at 5k RPS.
Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, v
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
Bifrost runs locally over stdio.
Last checked 2026-11-08. - Enable AI models to use external tools (filesystem, web search, databases). - Intelligent response caching based on semantic similarity to reduce costs and latency. - Support for text, images, audio, and streaming, all behind a common interface.
From the publisher
Bifrost is a high-performance AI gateway that unifies access to 23+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise-grade features.
© 2026 MCP Reel.
Go from zero to production-ready AI gateway in under a minute.
Step 1: Start Bifrost Gateway
# Install and run locally
npx -y @maximhq/bifrost
# Or use Docker
docker run -p 8080:8080 maximhq/bifrost
Step 2: Configure via Web UI
# Open the built-in web interface
open http://localhost:8080
Step 3: Make your first API call
curl -X POST http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o-mini",
"messages": [{"role": "user", "content": "Hello, Bifrost!"}]
}'
That's it! Your AI gateway is running with a web interface for visual configuration, real-time monitoring, and analytics.
Complete Setup Guides:
Bifrost supports enterprise-grade, private deployments for teams running production AI systems at scale. In addition to private networking, custom security controls, and governance, enterprise deployments unlock advanced capabilities including adaptive load balancing, clustering, guardrails, MCP gateway, and other features designed for enterprise-grade scale and reliability.
Bifrost uses a modular architecture for maximum flexibility:
bifrost/
├── npx/ # NPX script for easy installation
├── core/ # Core functionality and shared components
│ ├── providers/ # Provider-specific implementations (OpenAI, Anthropic, etc.)
│ ├── schemas/ # Interfaces and structs used throughout Bifrost
│ └── bifrost.go # Main Bifrost implementation
├── framework/ # Framework components for data persistence
│ ├── configstore/ # Configuration storage backends
│ ├── logstore/ # Request logging storage backends
│ └── vectorstore/ # Vector storages
├── transports/ # HTTP gateway and other interface layers
│ └── bifrost-http/ # HTTP transport implementation
├── ui/ # Web interface for HTTP gateway
├── plugins/ # Extensible plugin system
│ ├── governance/ # Budget management and access control
│ ├── jsonparser/ # JSON parsing and manipulation utilities
│ ├── logging/ # Request logging and analytics
│ ├── maxim/ # Maxim's observability integration
│ ├── mocker/ # Mock responses for testing and development
│ ├── semanticcache/ # Intelligent response caching
│ └── telemetry/ # Monitoring and observability
├── docs/ # Documentation and guides
└── tests/ # Comprehensive test suites
Choose the deployment method that fits your needs:
Best for: Language-agnostic integration, microservices, and production deployments
# NPX - Get started in 30 seconds
npx -y @maximhq/bifrost
# Docker - Production ready
docker run -p 8080:8080 -v $(pwd)/data:/app/data maximhq/bifrost
Features: Web UI, real-time monitoring, multi-provider management, zero-config startup
Learn More: Gateway Setup Guide
Best for: Direct Go integration with maximum performance and control
go get github.com/maximhq/bifrost/core
Features: Native Go APIs, embedded deployment, custom middleware integration
Learn More: Go SDK Guide
Best for: Migrating existing applications with zero code changes
# OpenAI SDK
- base_url = "https://api.openai.com"
+ base_url = "http://localhost:8080/openai"
# Anthropic SDK
- base_url = "https://api.anthropic.com"
+ base_url = "http://localhost:8080/anthropic"
# Google GenAI SDK
- api_endpoint = "https://generativelanguage.googleapis.com"
+ api_endpoint = "http://localhost:8080/genai"
Learn More: Integration Guides
Bifrost adds virtually zero overhead to your AI requests. In sustained 5,000 RPS benchmarks, the gateway added only 11 µs of overhead per request.
Key Performance Highlights:
Complete Benchmarks: Performance Analysis
Complete Documentation: https://docs.getbifrost.ai
Join our Discord for community support and discussions.
Get help with:
We welcome contributions of all kinds! See our Contributing Guide for:
For development requirements and build instructions, see our Development Setup Guide.
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Built with ❤️ by Maxim