Set up bifrost in CrewAI

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Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.

01Configuration

# bifrost via CrewAI
# transport: unknown
# launch: the server's install method

CrewAI connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps

Make sure CrewAI is installed and up to date.
Wire the server into CrewAI using its MCP client API.
Provide any required API keys/credentials as environment variables.
Restart CrewAI and confirm bifrost’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose VS Code OpenAI Agents SDK LangGraph

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 01:02Z

sourcesGitHub repo search [p4]

Next step

Ship bifrost to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives