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Access multiple LLM providers through one encrypted OpenAI-compatible gateway.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-llm-bridge" yet — see the docs or source repo.
I want to update my app to call only one OpenAI-compatible endpoint and switch across multiple LLM providers. Give me integration steps, environment variable design, and failover recommendations.
A unified integration plan with implementation steps, config examples, and provider-switching guidance.
Design a workflow for storing API keys and CLI subscription credentials centrally with vault tools. Include naming conventions, access control, rotation strategy, and audit points.
A secure credential management plan covering storage structure, permissions, rotation, and auditing.
Using code search and shared state, design a developer assistant workflow that first searches relevant repository files, then sends context to an LLM for answers, and preserves project state across sessions.
A workflow description showing how search, question answering, and shared state work together for developers.
Route LLM completion requests to OpenAI-compatible providers through MCP tools.
Route LLM requests across providers and orchestrate MCP tools with local privacy.
Unify multiple LLM providers, routing, and model collaboration in one local gateway.
Route across multiple LLM providers with fallback, monitoring, and OpenAI-compatible APIs.
Connect multiple MCP servers through one gateway for unified tool access.
Turn OpenAPI specs into MCP servers for LLM access to REST APIs.