mcp-computeflux

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OpenAI-compatible multi-model inference via ComputeFlux (Polkadot testnet, TEE-verifiable). stdio.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/computeflux2026isgod/mcp-computeflux/releases/download/v1.0.0.0/send_mcp-computeflux.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. mcp-computeflux
  2. Tools
  3. Configuration (env)
  4. Install
  5. Local e2e (optional)
  6. Transport
  7. License

mcp-computeflux

Zero-dependency MCP (Model Context Protocol) server. Give any MCP host — Cursor, Claude Desktop, Windsurf, any MCP client — one OpenAI-compatible endpoint, and call models on ComputeFlux as plain tools: list what's available, then run a chat completion.

Your MCP agents hit flash-tier models over one OpenAI-compatible endpoint.

  • ~175 lines of Node 18+, no npm install to run the server (only the optional client/ e2e harness pulls SDK deps).
  • Backend-agnostic: point it at any OpenAI-compatible API — ComputeFlux is the default, not the only target.
  • ComputeFlux is an OpenAI-compatible, TEE-verifiable multi-model inference gateway deployed on the Polkadot testnet.

Tools

ToolWhat it does
computeflux_modelsLists the model ids served by the endpoint.
computeflux_chatRuns a non-streaming chat completion (model + OpenAI messages; optional max_tokens, temperature). Returns model, finish reason, latency, usage, and the assistant text.

Configuration (env)

VariableRequiredDefaultNotes
COMPUTEFLUX_API_KEYyes—Bearer key for the endpoint.
COMPUTEFLUX_BASE_URLnohttps://api.computeflux.ai/v1Any OpenAI-compatible base URL.
export COMPUTEFLUX_API_KEY="your_c***_key"
# export COMPUTEFLUX_BASE_URL="https://your-openai-compat-host/v1"   # optional

Install

Published on the official MCP Registry (.mcpb bundle, no npm step):

io.github.computeflux2026isgod/mcp-computeflux — listed on the official MCP Registry (search by this name).

Any MCP client / agent that supports registry install (mcp add, Cursor, Claude Desktop, Claude Code) can pull it by name. Direct git-clone quickstart:

git clone https://github.com/computeflux2026isgod/mcp-computeflux
export COMPUTEFLUX_API_KEY="your_...key"
node /path/to/mcp-computeflux/server.mjs   # stdio JSON-RPC

mcpServers snippet:

{
  "mcpServers": {
    "computeflux": {
      "command": "node",
      "args": ["/path/to/mcp-computeflux/server.mjs"],
      "env": { "COMPUTEFLUX_API_KEY": "your_c***_key" }
    }
  }
}

Local e2e (optional)

client/ contains a tiny harness using the official MCP SDK — the exact path Cursor / Claude Desktop use. It spawns the server over stdio, lists tools, and runs one chat completion with a unique-token round-trip fidelity check.

cd client && npm install && npm run e2e   # expects COMPUTEFLUX_API_KEY in the .env it points to

Transport

Newline-delimited JSON-RPC 2.0 over stdio. Only protocol messages are written to stdout; logs go to stderr.

License

MIT

Frequently asked questions

What is mcp-computeflux?

OpenAI-compatible multi-model inference via ComputeFlux (Polkadot testnet, TEE-verifiable). stdio.

How do I install mcp-computeflux?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does mcp-computeflux need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is mcp-computeflux open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains mcp-computeflux?

It is published by computeflux2026isgod. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.