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FlagQuantum MCP Server

MCP Registry

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

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

Fifteen read-only tools over stdio.

Build and inspect

Tool What it answers
describe_gate_set_tool Wire count, parameter names and aliases for named gates — or every gate
analyze_circuit_tool Gate counts, depth, wire usage, two-qubit gate count
describe_layers_tool Which gates run concurrently, and therefore where the depth comes from
serialize_circuit_tool Canonical IR JSON plus its content hash
deserialize_circuit_tool Is this IR valid, and does it round-trip unchanged?

Parameters

Tool What it answers
inspect_parameters_tool Is this circuit parameterized, and where does each symbol sit?
bind_parameters_tool What does this ansatz look like once the symbols are numbers?

Compile and route

Tool What it answers
optimize_circuit_tool What did target-independent optimization change?
route_circuit_tool What does this circuit cost on a line / ring / grid / custom topology?
compare_topologies_tool Which connectivity is cheapest for this circuit?
describe_topology_tool What is the connectivity, and how far apart are two wires?

Export and present

Tool What it answers
emit_openqasm_tool OpenQASM 2.0 or 3.0 text
emit_qcis_tool QCIS text
draw_circuit_tool An ASCII diagram of the circuit
plan_execution_tool How would the SDK execute this — which mode, device, how much memory?

Three resources: flagquantum://version (versions of the server, the SDK and the IR contract), flagquantum://gate-set (every gate with its wire count and parameter names) and flagquantum://ir-schema (the IR envelope, shown by example from a real serialization).

Three prompts: build_and_analyze_circuit, compile_for_topology, export_circuit.

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

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')). FlagQuantum's Parameter defines no __str__, so str() falls through to __repr__. The symbol is intact — only the diagram's spelling is clumsy — and it affects both input formats equally.

On emitted text

emit_openqasm_tool measures every wire unless result_wires names the ones you want, so the emitted program normally carries measurements the source circuit does not — a Bell circuit with no measurements still emits c = measure q;. Declaring measurements in the source IR changes nothing: the emitted text is chosen by result_wires alone. The content_hash in the result identifies the source circuit, not the emitted text. emit_qcis_tool appends nothing.

On content_hash

Every payload carries the SDK's content_hash, which is the SHA-256 of the canonical JSON including the metadata object. An IR payload that omits metadata is legal — it defaults to {} — but it hashes differently from the same circuit carrying its runtime metadata. Treat the hash as identifying the payload, not the gate sequence alone. The flagquantum://ir-schema resource says the same thing where an agent will read it.

Limits

Every bound is overridable by environment variable, so a deployment can tighten them without a code change:

Variable Default Bounds
FLAGQUANTUM_MCP_MAX_QUBITS 24 Circuit width
FLAGQUANTUM_MCP_MAX_GATES 10000 Instruction count
FLAGQUANTUM_MCP_MAX_IR_BYTES 262144 Serialized circuit payload
FLAGQUANTUM_MCP_MAX_QASM_CHARS 1000000 Emitted program size
FLAGQUANTUM_MCP_MAX_COMPARE_TOPOLOGIES 4 Topologies per comparison

Errors

There are two layers, and which one answers depends on whether the schema could describe the mistake.

Schema violations are caught by the MCP layer before any tool body runs and come back as a protocol error. That covers a circuit_format outside the enum, a missing required argument, and an argument of the wrong JSON type.

Everything else comes back as a structured envelope, so a caller can branch on the code instead of parsing prose:

{"status": "error", "error": {"code": "LIMIT_EXCEEDED", "message": "..."}}

Codes: INVALID_INPUT, LIMIT_EXCEEDED, UNSUPPORTED_FORMAT, SDK_UNAVAILABLE, INTERNAL_ERROR.

Both layers reach the client as an error it can read; only the layer differs. Nothing escapes as an unhandled exception that would break the transport — a failed call leaves the session usable for the next one, which tests/test_server_process.py asserts over a real stdio connection.

What this server deliberately does not do

  • No execution. Nothing runs a circuit, locally or remotely. Planning is plan_execution_tool; running is the caller's step, through fq.run.
  • No hardware, no credentials, no network. FlagQuantum's own release 0.2.0 ships no remote-submission entry point, and this adapter adds none.
  • No noise models. A NoiseModel is a live SDK object rather than a serializable value, and every tool here takes and returns JSON.
  • No in-tree coupling. This package must never be imported by the FlagQuantum repository. That project's long-horizon architecture contract names "the main repository has no production MCP transport dependency" as a retirement condition, and its tests/team/services/test_service_boundaries.py fails if mcp or fastmcp becomes importable on the core path. Keeping the gateway out of tree is what that contract asks for.

Which contracts this rests on

FlagQuantum publishes a frozen stable_exports snapshot (34 names, each with a named verification test), describes flagquantum.compiler as its "stable expert compiler interface", and lets each package declare its own __all__. This server uses all three tiers, and tests/test_api_contract.py pins the members of each:

Tier Surface Used by
1. Frozen snapshot Circuit, CircuitIR, Instruction, IR_VERSION, ExecutionOptions, ExecutionPlan, plan, Parameter, … analyze, serialize, deserialize, plan, inspect/bind parameters
2. Documented module flagquantum.compiler: CouplingMap, optimize, route_to_topology, schedule_layers optimize, route, compare, describe layers
3. Public but not frozen flagquantum.compiler.openqasm.emit_openqasm, flagquantum.compiler.qcis.emit_qcis, flagquantum.drawer.draw, flagquantum.core.{operator_manifest,gate_info,canonical_opcode} emit_openqasm, emit_qcis, draw, gate validation

Tier 3 is the weakest, and it is not decoration. Gate validation needs each gate's wire count and parameter names, and the SDK's operator manifest is the only authority for that — a caller cannot infer it from the circuit format, and reimplementing it here would create a second source of truth that drifts. The manifest is reached through a helper that turns a relocation into a named error rather than an AttributeError inside a tool call, and every tier-3 name is pinned by a test so a move upstream fails the build instead of failing a user. The failures that guard against are quiet ones: a weaker gate check accepts a misspelled parameter and drops it.

The dependency is pinned to flagquantum>=0.2,<0.3. It is a version range, never a git URL: a URL in the dependency table makes every environment that installs a different upstream revision unresolvable.

Development

python3 -m venv .venv
.venv/bin/python -m pip install -e ".[dev]"
.venv/bin/ruff check .
.venv/bin/ruff format --check .
.venv/bin/mypy --config-file ../mypy.ini src
.venv/bin/pytest -m "not integration"

See the repository README and CONTRIBUTING.md.

License

Apache-2.0.

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