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FlagQuantum MCP Server

by FlagQuantumversion 0.3.2i★ –iRuns on your computer
Registry nameio.github.FlagQuantum/flagquantum-mcp-server

Install

Overview

Description from the maker (original English)

Build, compile, run and export FlagQuantum circuits locally. No credentials or outbound network.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FLAGQUANTUM_MCP_MAX_QUBITS, FLAGQUANTUM_MCP_MAX_GATES, FLAGQUANTUM_MCP_MAX_IR_BYTES

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "flagquantum": {
      "command": "uvx",
      "args": [
        "flagquantum-mcp-server"
      ],
      "env": {
        "FLAGQUANTUM_MCP_MAX_QUBITS": "your-value",
        "FLAGQUANTUM_MCP_MAX_GATES": "your-value",
        "FLAGQUANTUM_MCP_MAX_IR_BYTES": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add flagquantum --env FLAGQUANTUM_MCP_MAX_QUBITS=your-value --env FLAGQUANTUM_MCP_MAX_GATES=your-value --env FLAGQUANTUM_MCP_MAX_IR_BYTES=your-value -- uvx flagquantum-mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "flagquantum": {
      "command": "uvx",
      "args": [
        "flagquantum-mcp-server"
      ],
      "env": {
        "FLAGQUANTUM_MCP_MAX_QUBITS": "your-value",
        "FLAGQUANTUM_MCP_MAX_GATES": "your-value",
        "FLAGQUANTUM_MCP_MAX_IR_BYTES": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "flagquantum": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "flagquantum-mcp-server"
      ],
      "env": {
        "FLAGQUANTUM_MCP_MAX_QUBITS": "your-value",
        "FLAGQUANTUM_MCP_MAX_GATES": "your-value",
        "FLAGQUANTUM_MCP_MAX_IR_BYTES": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FLAGQUANTUM_MCP_MAX_QUBITS env
    Largest circuit width the server will process. Defaults to 24.
  • FLAGQUANTUM_MCP_MAX_GATES env
    Largest instruction count the server will process. Defaults to 10000.
  • FLAGQUANTUM_MCP_MAX_IR_BYTES env
    Largest serialized circuit payload accepted, in bytes. Defaults to 262144.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account FlagQuantum, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32461 servers in this category
  • Published to the registry more recently than 77% of the other 32461 servers in this category
  • Basic checks equal to or better than 100% of the other 32461 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is FlagQuantum MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FlagQuantum MCP Server

An MCP server that gives any MCP-compatible agent local access to the FlagQuantum SDK: build, compile, route, serialize and plan quantum circuits — and run them locally — with no credentials, no outbound network access and no hardware submission.

"Outbound" is the load-bearing word. Every tool here runs in this process and reaches nothing; the server never calls a provider, reads a token or submits a job. It can also *listen*, so a gateway that connects to its clients rather than launching them can reach it — see Serving over HTTP. An inbound listener is not egress.

Part of FlagQuantum/mcp-servers.

The mcp-name comment above is not decoration: the MCP Registry reads it from this README to verify that whoever publishes the registry entry also controls the PyPI package. Removing it breaks registry publishing.

What it does

Twenty-seven tools over stdio or Streamable HTTP. The research tools use the installed FlagQuantum service contract directly; the MCP layer does not reimplement request decoding, estimation, provider routing or scientific validation.

Build and inspect

ToolWhat it answers
describe_gate_set_toolWire count, parameter names and aliases for named gates — or every gate
analyze_circuit_toolGate counts, depth, wire usage, two-qubit gate count
describe_layers_toolWhich gates run concurrently, and therefore where the depth comes from
serialize_circuit_toolCanonical IR JSON plus its content hash
deserialize_circuit_toolIs this IR valid, and does it round-trip unchanged?

Parameters

ToolWhat it answers
inspect_parameters_toolIs this circuit parameterized, and where does each symbol sit?
bind_parameters_toolWhat does this ansatz look like once the symbols are numbers?

Compile and route

ToolWhat it answers
optimize_circuit_toolWhat did target-independent optimization change?
compile_circuit_toolWhat circuit does the complete optimize-and-route pipeline produce?
route_circuit_toolWhat does this circuit cost on a line / ring / grid / custom topology?
compare_topologies_toolWhich connectivity is cheapest for this circuit?
describe_topology_toolWhat is the connectivity, and how far apart are two wires?

Export and present

ToolWhat it answers
emit_openqasm_toolOpenQASM 2.0 or 3.0 text
import_openqasm_toolFlagQuantum IR from OpenQASM text — the inverse of emit_openqasm_tool
emit_qcis_toolQCIS text
draw_circuit_toolAn ASCII diagram of the circuit
plan_execution_toolHow would the SDK execute this — which mode, device, how much memory?
plan_evolution_toolValidate and size a continuous-time Lindblad evolution without running it

Run

ToolWhat it answers
simulate_circuit_toolCounts, samples, marginal probabilities or an expectation value from a local statevector run
evolve_dynamics_toolTime-resolved populations, observables and optional density matrices from local Lindblad evolution
train_parameters_toolThe angles that lower a circuit's energy against a Pauli-sum Hamiltonian

Research capability workflow

ToolWhat it answers
search_capabilities_toolWhich approved local research operations match structured filters?
describe_capability_toolWhat exact request, result, limitations and validators does one operation declare?
estimate_capability_toolIs this request supported locally, and what bounded resources does FlagQuantum estimate?
validate_capability_input_toolDoes the complete typed request pass upstream validation?
execute_local_capability_toolWhat Evidence Bundle results from explicit local provider execution?
validate_evidence_toolIs the returned Evidence Bundle intact and scientifically accepted by the named validator?

Four concrete resources include flagquantum://version, flagquantum://gate-set, flagquantum://ir-schema, and the installed research catalog at flagquantum://capabilities/index. Two resource templates expose exact upstream documents without copying them: flagquantum://capabilities/{capability_id}/{version} and flagquantum://schemas/{schema_id}.

Three prompts: build_and_analyze_circuit, compile_for_topology, export_circuit.

These are recipes for the clients that present them to a person — Claude Desktop, the MCP Inspector, a host that turns them into slash commands. An autonomous agent may receive none of them: several recorded sessions could not enumerate them at all, and reported that they could not tell whether prompts existed. So nothing an agent has to know lives only here. Every constraint the prompts state is also in a tool summary, or in the server instructions, or in a resource — the QCIS refusal and the "say what you assumed" rule were the two exceptions, and they are in emit_qcis_tool and bind_parameters_tool now. PROMPT_CONSTRAINTS in tests/test_server_contract.py keeps that true.

Install

pip install flagquantum-mcp-server

This pulls flagquantum, which depends on torch.

Claude Code
claude mcp add flagquantum -- uvx flagquantum-mcp-server
Claude Desktop / Cline
{

"mcpServers": { "flagquantum": { "command": "uvx", "args": ["flagquantum-mcp-server"] } } }

MCP Inspector
npx @modelcontextprotocol/inspector uvx flagquantum-mcp-server
Serving over HTTP

A client that launches a process — Claude Code, Claude Desktop, the Inspector — uses the default stdio transport and needs nothing below. A client that instead *connects* to servers, such as a gateway holding several of them, needs the server to listen:

flagquantum-mcp-server --transport http --host 0.0.0.0 --port 8105 \

--allowed-host quantum-mcp:8105

The endpoint is /mcp on that host and port, and it speaks Streamable HTTP.

FlagDefaultMeaning
--transportstdiostdio or http. The default is unchanged, so nothing that already works needs editing
--host127.0.0.1Interface to bind. Loopback by default: the server does not become reachable by accident
--port8105Port to bind
--allowed-hostnoneA Host header the server will answer, repeatable
--allowed-originnoneA browser Origin the server will answer, repeatable

Binding a non-loopback interface requires `--allowed-host`. Without it the server refuses to start rather than listen on every interface with nothing checking who reaches it:

$ flagquantum-mcp-server --transport http --host 0.0.0.0

usage: flagquantum-mcp-server [-h] ... flagquantum-mcp-server: error: --host 0.0.0.0 is not a loopback address, so the server would answer any Host header that reaches it. Name the hosts it should answer with --allowed-host HOST[:PORT], or bind 127.0.0.1.

Passing any --allowed-host or --allowed-origin turns host validation on; a request carrying an unlisted Host is answered 421 Misdirected Request. Loopback hosts are always answered, so enabling validation cannot lock out a local client.

Two things worth knowing if you are wiring this up:

  • Configure validation through the settings object, not `http_app( allowed_hosts=...)`. That keyword appends to a list which is only consulted once validation is on, so on its own it reads as a security setting and enforces nothing. Measured on fastmcp 3.4.7: a bogus Host is answered 200 with the keyword and 421 through the settings path.
  • `--transport http` adds an inbound socket, not an outbound one. No tool gains a network path; rule 4 in AGENTS.md is unchanged.

Circuit formats

Two input formats are accepted, both of them FlagQuantum's own serialization.

`ir` (canonical) — FlagQuantum IR JSON, as produced by CircuitIR.to_json(). Versioned, hashable, and rejected if it carries unknown fields:

{

"kind": "flagquantum.circuit_ir", "version": "1.0", "n_wires": 2, "dtype": "complex64", "shape": [4], "instructions": [ {"opcode": "h", "wires": [0], "params": {}, "matrix": null, "metadata": {}}, {"opcode": "cx", "wires": [0, 1], "params": {}, "matrix": null, "metadata": {}} ], "observables": [], "measurements": [], "metadata": {} }

`qir` (convenience) — the compact gate list from Circuit.to_qir(), easier to write by hand:

[{"name": "h", "index": [0]}, {"name": "cx", "index": [0, 1]}]

A gate carries its arguments under `parameters`, which the example above never shows because neither gate takes one:

[{"name": "rz", "index": [0], "parameters": {"theta": 0.5}}]

The two formats use different key names, and this is the most common mistake: the gate list calls a gate name and its wires index, while serialized IR calls them opcode and wires. Sending IR keys as qir is rejected with a message that says so by name. An empty gate list is also rejected, because the wire count is inferred from the highest index — an empty list describes no circuit. A bare integer is accepted for a single-wire gate ("index": 0 means "index": [0]).

Either format can be passed to any tool; serialize_circuit_tool converts qir into canonical ir.

One more naming trap: an IR payload's version field is spelled `version`, and sending ir_version instead is rejected as an unknown key — but tool results report that same field as ir_version. The payload key and the reported key are not spelled the same way.

circuit_format is a closed set — the JSON schema publishes "enum": ["ir", "qir"], so a wrong value is rejected before any tool body runs. OpenQASM text is not a supported input. FlagQuantum ships emitters but no QASM parser, so there is nothing to convert it with; a caller holding OpenQASM has to load it into FlagQuantum itself and send the resulting IR.

On parameters

A gate parameter is either a number or a symbol, and a symbol is written as a one-key object naming it:

{"name": "ry", "index": [0], "parameters": {"theta": {"$parameter": "theta"}}}

This works in both input formats. A symbol is what makes a circuit an ansatz: inspect_parameters_tool reports it, and bind_parameters_tool substitutes a number for it.

A bare string is not a symbol. {"theta": "theta"} is a value, not a reference; the SDK stores it as one, so the circuit reports itself as unparameterized. Nothing else complains: draw_circuit_tool prints the value it was handed, and a string prints as RY(theta) — indistinguishable from a real symbol — while plan_execution_tool plans the circuit for execution. So the input boundary rejects it, along with a misspelled marker ({"$unknown": ...}) and a non-string symbol name, naming the gate and the parameter. The other encodings a parameter may carry are $expression, $complex and $tensor; a mapping carrying none of those four keys is rejected for the same reason. The flagquantum://ir-schema resource carries a worked parameter_example.

One rough edge, inherited from the SDK: a *real* symbol is rendered as the SDK's repr of it, so RY(theta) appears as RY(Parameter(name='theta')). FlagQu

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