Self-hosted · Open-source friendly · HTTPS ready

Collaborative AI,
orchestrated by circuits.

QMCP is an MCP server for multi-agent tasks, quantum circuit workflows, verification, and benchmarking — accessible from GPT, Gemini, and other MCP clients.

SSEStreamable HTTPQuantum circuitsVerification
mcp = "Qmcp-Collaborative"

task = create_task("Design a circuit")
circuit = submit_circuit(
  qubits=3,
  gates=[
    {"gate": "H", "targets": [0]},
    {"gate": "CX", "targets": [0, 1]}
  ])
result = execute_circuit(circuit.id)

One MCP surface for the whole workflow.

From task creation to circuit execution and verification, QMCP exposes a compact set of composable tools that an AI client can discover and call.

Tasks & collaboration

Create tasks, exchange agent messages, submit proposals, and inspect a complete task snapshot.

Quantum circuits

Register and execute H, X, rotation, controlled, SWAP, and Toffoli-style gates with reproducible shots.

Verification

Calculate probabilities, expectations, observables, benchmark measurements, and final verification records.

Designed for extensible orchestration.

The current server uses a classical sparse-state circuit simulator and is designed to grow into a multi-backend, multi-agent orchestration layer.

01AI client
GPT · Gemini
02MCP server
HTTPS endpoint
03Task plan
Messages · proposals
04Circuit run
Shots · observables
05Verify
Snapshot · final

Connect your MCP client.

Use Streamable HTTP for modern clients such as Gemini. The legacy SSE endpoint remains available for compatible clients.

Streamable HTTP
https://104-196-177-217.nip.io/mcp
Legacy SSE
https://104-196-177-217.nip.io/sse