OpenAI-compatible multi-model inference via ComputeFlux (Polkadot testnet, TEE-verifiable). stdio.
Runs on your machine from its package; the steps are below.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Distributed as an MCP bundle (`https://github.com/computeflux2026isgod/mcp-computeflux/releases/download/v1.0.0.0/send_mcp-computeflux.mcpb`) — download it and import the bundle in your MCP client.
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.
npm install to run the server (only the optional
client/ e2e harness pulls SDK deps).| Tool | What it does |
|---|---|
computeflux_models | Lists the model ids served by the endpoint. |
computeflux_chat | Runs a non-streaming chat completion (model + OpenAI messages; optional max_tokens, temperature). Returns model, finish reason, latency, usage, and the assistant text. |
| Variable | Required | Default | Notes |
|---|---|---|---|
COMPUTEFLUX_API_KEY | yes | — | Bearer key for the endpoint. |
COMPUTEFLUX_BASE_URL | no | https://api.computeflux.ai/v1 | Any OpenAI-compatible base URL. |
export COMPUTEFLUX_API_KEY="your_c***_key"
# export COMPUTEFLUX_BASE_URL="https://your-openai-compat-host/v1" # optional
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" }
}
}
}
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
Newline-delimited JSON-RPC 2.0 over stdio. Only protocol messages are written to stdout; logs go to stderr.
MIT