Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Build, compile, run and export FlagQuantum circuits locally. No credentials or outbound network.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
FLAGQUANTUM_MCP_MAX_QUBITS, FLAGQUANTUM_MCP_MAX_GATES, FLAGQUANTUM_MCP_MAX_IR_BYTESDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"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"
}
}
}
}Führe das in deinem Terminal aus
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-serverTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
FLAGQUANTUM_MCP_MAX_QUBITS envFLAGQUANTUM_MCP_MAX_GATES envFLAGQUANTUM_MCP_MAX_IR_BYTES envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto FlagQuantum bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.3.2) kam vor 10 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, LickityClick
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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
| 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? |
compile_circuit_tool | What circuit does the complete optimize-and-route pipeline produce? |
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 |
import_openqasm_tool | FlagQuantum IR from OpenQASM text — the inverse of emit_openqasm_tool |
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? |
plan_evolution_tool | Validate and size a continuous-time Lindblad evolution without running it |
Run
| Tool | What it answers |
|---|---|
simulate_circuit_tool | Counts, samples, marginal probabilities or an expectation value from a local statevector run |
evolve_dynamics_tool | Time-resolved populations, observables and optional density matrices from local Lindblad evolution |
train_parameters_tool | The angles that lower a circuit's energy against a Pauli-sum Hamiltonian |
Research capability workflow
| Tool | What it answers |
|---|---|
search_capabilities_tool | Which approved local research operations match structured filters? |
describe_capability_tool | What exact request, result, limitations and validators does one operation declare? |
estimate_capability_tool | Is this request supported locally, and what bounded resources does FlagQuantum estimate? |
validate_capability_input_tool | Does the complete typed request pass upstream validation? |
execute_local_capability_tool | What Evidence Bundle results from explicit local provider execution? |
validate_evidence_tool | Is 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.
pip install flagquantum-mcp-server
This pulls flagquantum, which depends on torch.
claude mcp add flagquantum -- uvx flagquantum-mcp-server
{
"mcpServers": { "flagquantum": { "command": "uvx", "args": ["flagquantum-mcp-server"] } } }
npx @modelcontextprotocol/inspector uvx flagquantum-mcp-server
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.
| Flag | Default | Meaning |
|---|---|---|
--transport | stdio | stdio or http. The default is unchanged, so nothing that already works needs editing |
--host | 127.0.0.1 | Interface to bind. Loopback by default: the server does not become reachable by accident |
--port | 8105 | Port to bind |
--allowed-host | none | A Host header the server will answer, repeatable |
--allowed-origin | none | A 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:
Host is answered 200 with the keyword and 421 through the settings path.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.
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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