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maximhq / MCP Servers

bifrost

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.

  • 9k stars
  • 1.4k forks
  • 1,332 open issues
  • Language: Go
  • License: Apache-2.0
  • updated

Install

Claude Code CLI
git clone https://github.com/maximhq/bifrost
  1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
  2. Replace any <placeholder> values with your API keys or paths.
  3. Restart Claude. The MCP server and its tools appear automatically.

Install the binary first: go install github.com/maximhq/bifrost@latest (make sure it ends up on your PATH).

Editor's note

Bifrost is an open-source AI gateway written in Go that routes requests across 23+ providers, including OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Groq, and Ollama, through a single OpenAI-compatible HTTP API. It connects to Claude via its Anthropic provider integration and includes a built-in MCP gateway that enables AI models to invoke external tools such as filesystem access, web search, and databases. Deployment requires no initial configuration and takes under a minute using either npx or Docker, with a web UI at localhost:8080 for visual setup, real-time monitoring, and analytics. Core features include automatic provider failover, load balancing across multiple API keys, semantic caching, virtual key budgeting with hierarchical cost controls, Prometheus metrics, and distributed tracing. The project claims under 100 microseconds of added overhead at 5,000 requests per second. Enterprise tiers add adaptive load balancing, cluster mode, guardrails, and OIDC-based user provisioning. The primary audience is platform and backend engineering teams managing multi-provider LLM infrastructure at production scale.

README

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
agent-gatewayai-gatewayai-governanceapi-gatewayclaude-codecoding-agentsfailovergatewayguardrailsllm-costllm-gatewayllm-observabilityllm-proxyllm-routerload-balancingmcp-gatewaymodel-context-protocolmodel-routeropenai-compatiblesemantic-cache
Frequently asked

What people ask about bifrost

What is maximhq/bifrost?

maximhq/bifrost is mcp servers for the Claude AI ecosystem. 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. It has 9k GitHub stars and its last recorded update is dated 2026-10-23.

How do I install bifrost?

You can install bifrost by cloning the repository (https://github.com/maximhq/bifrost) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is maximhq/bifrost safe to use?

Our security agent has analyzed maximhq/bifrost and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains maximhq/bifrost?

maximhq/bifrost is maintained by maximhq. The last recorded GitHub activity is dated 2026-10-23, with 1332 open issues.

Are there alternatives to bifrost?

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.