Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Build, compile, run and export FlagQuantum circuits locally. No credentials or outbound network.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
FLAGQUANTUM_MCP_MAX_QUBITS, FLAGQUANTUM_MCP_MAX_GATES, FLAGQUANTUM_MCP_MAX_IR_BYTES必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
FLAGQUANTUM_MCP_MAX_QUBITS envFLAGQUANTUM_MCP_MAX_GATES envFLAGQUANTUM_MCP_MAX_IR_BYTES envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント FlagQuantum で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.3.2)がレジストリに届いたのは10 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, dotnet-mcp
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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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