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Computeflux MCP Server

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

About

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

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

5 files analyzed · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

file_system

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

yesOptional

Environment variable: COMPUTEFLUX_API_KEY

noOptional

Environment variable: COMPUTEFLUX_BASE_URL

Documentation

View on GitHub

From the project's GitHub README.

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

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