Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Build, compile, run and export FlagQuantum circuits locally. No credentials or outbound network.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
FLAGQUANTUM_MCP_MAX_QUBITS, FLAGQUANTUM_MCP_MAX_GATES, FLAGQUANTUM_MCP_MAX_IR_BYTESNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
}
}
}
}Ejecuta esto en tu 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-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"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"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
FLAGQUANTUM_MCP_MAX_QUBITS envFLAGQUANTUM_MCP_MAX_GATES envFLAGQUANTUM_MCP_MAX_IR_BYTES envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub FlagQuantum, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.2) llegó al registro hace 10 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, AI Deprecations
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
AI model shutdown dates, replacements, change feed and webhook alerts for 8 providers.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo