Smart Ai Bridge MCP Server

MCP server for Claude Code — multi-AI orchestration across local + cloud LLMs, intelligent backend routing, council-driven workflows, and

Local serverstdio

What is the Smart Ai Bridge MCP server?

Connect Smart Ai Bridge to Claude, Cursor or any other MCP client and it stops being a tab you switch to. MCP server for Claude Code — multi-AI orchestration across local + cloud LLMs, intelligent backend routing, council-driven workflows, and token-saving file operations. The smart ai bridge mcp server is what makes that connection.

What the server does

Smart AI Bridge is an MCP server that sits between Claude Code and your AI backends. It provides 18 tools for token-saving file operations, multi-AI workflows, code quality checks, and intelligent routing -- all configured through a single JSON file.

  • Any OpenAI-compatible provider works. — Local models (vLLM, LM Studio, Ollama), cloud APIs, or a mix of both. The included presets cover common providers, but adding your own is just a config entry
  • Smart routing — selects the best backend per task using a 4-tier system: forced selection, learned preferences, rule-based heuristics, and health-based fallback
  • Council system — queries multiple backends on the same prompt and returns all responses for Claude to synthesize. Configurable strategies (parallel, sequential, debate, fallback) per topic
  • Web dashboard — for managing backends and council configuration without editing JSON files

Installation

The server ships on npm as vitest, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Infrastructure — The Infrastructure tool exposed by this server
  • Enable — The Enable tool exposed by this server

Credentials and setup notes

Configuration is passed through the environment: NVIDIA_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, CRUSH_EVAL_BASE_URL, MY_PROVIDER_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Node.js >= 18.0.0 - At least one backend configured (local model or cloud API key) - Claude Code or Claude Desktop for MCP integration

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Smart Ai Bridge's toolset — Infrastructure, Enable — is a fair guide to whether it matches your workflow. It is maintained by platano78; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
InfrastructureThe Infrastructure tool exposed by this server.
EnableThe Enable tool exposed by this server.

How to install the Smart Ai Bridge MCP server

{
  "mcpServers": {
    "smart-ai-bridge": {
      "command": "npx",
      "args": ["-y", "vitest"],
      "env": {
        "NVIDIA_API_KEY": "your-value",
        "OPENAI_API_KEY": "your-value",
        "GEMINI_API_KEY": "your-value",
        "GROQ_API_KEY": "your-value",
        "CRUSH_EVAL_BASE_URL": "your-value",
        "MY_PROVIDER_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Node.js >= 18.0.0 - At least one backend configured (local model or cloud API key) - Claude Code or Claude Desktop for MCP integration
VariableDescriptionRequired
NVIDIA_API_KEYCredential the server authenticates with.Yes
OPENAI_API_KEYCredential the server authenticates with.Yes
GEMINI_API_KEYCredential the server authenticates with.Yes
GROQ_API_KEYCredential the server authenticates with.Yes
CRUSH_EVAL_BASE_URLEndpoint or connection string the server talks to.Yes
MY_PROVIDER_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Smart Ai Bridge to Infrastructure.
  • Use Smart Ai Bridge to Enable.

Frequently asked questions

It connects Smart Ai Bridge to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Infrastructure, Enable) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Smart Ai Bridge directly.