zk-circuit-auditor-mcp
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In the chat, type
@followed by the MCP server name and your instructions, e.g., "@zk-circuit-auditor-mcpaudit this Circom circuit for under-constrained signals"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
zk-circuit-auditor-mcp
An MCP (Model Context Protocol) server that audits zero-knowledge circuits — Circom, Noir, and Halo2 — for soundness and constraint bugs, powered by the Cysic Minimax model.
1. Problem statement
The single most common and most dangerous class of ZK bug is the
under-constrained signal: a circuit accepts invalid witnesses
because a constraint is missing, even though it "works" on every
valid input the team tried. A signal output out; out <-- a * b; line
in Circom compiles cleanly, passes all unit tests, and silently lets
a malicious prover submit any value for out. The verifier only
checks the constraint system — which is missing the one constraint
that would have pinned it.
This is invisible to compilers and to property-based testing. It needs semantic reasoning about intent vs. constraints, exactly the gap this MCP server fills.
Related MCP server: runsec
2. Solution
zk-circuit-auditor-mcp is an MCP server (stdio transport) that
exposes a ZK-circuit auditor backed by the Cysic Minimax model.
You point an MCP-compatible client (Claude Desktop, Cursor, etc.) at
it, drop in a circuit, and ask it to audit, explain, or suggest
constraints. The auditor runs a 4-pass pipeline (recon/intent →
constraint extraction → soundness check → scoring) and returns
structured, severity-tagged findings, each classified against the
ZK Weakness Classification taxonomy (ZKWC-001..015).
3. Feature checklist
Each item below is implemented as a tool in server.js and is
shipped in this repository:
audit_circuit(source, lang?)— Full 4-pass soundness audit. Detects: under-constrained output signals, unconstrained signals, missing range checks, missing boolean/bit constraints, nondeterminism / aliasing, unsafe component reuse, dangling signals, and assignment-without-constraint (e.g.<--without a matching===). Returns{ findings, summary, soundnessScore }, where each finding is tagged with aweaknessIdfromsrc/zkwc.js. File:src/auditor.js#auditCircuit.check_constraint(source, concern)— Targeted check for a single reviewer's concern (e.g. "is the outputoutfully constrained?"). Returns a verdict (sound/unsound/inconclusive), an explanation, and any findings. File:src/auditor.js#checkConstraint.explain_circuit(source, lang?)— Plain-English summary: what the circuit proves, its public and private signals, a signal → constraint map, and reviewer notes. File:src/auditor.js#explainCircuit.suggest_constraints(source, lang?)— Propose the minimal set of missing constraints (as code snippets) to make the circuit sound. Each suggestion is tagged with a ZKWC id. File:src/auditor.js#suggestConstraints.Multi-language support — Circom, Noir, and Halo2. The language is auto-detected from the source if not supplied. File:
src/auditor.js#detectLang.ZK Weakness Classification (ZKWC) — Standardized weakness ids (ZKWC-001..015) used to tag every finding. File:
src/zkwc.js.Defensive parsing — Strips
```jsonfences, validates the model JSON, and falls back to a local scoring rule if the scoring call fails. File:src/cysicClient.js#chatJSONandsrc/auditor.js#localScore.Offline rule-based backend — When
CYSIC_API_KEYis not set, the auditor automatically falls back to a deterministic rule-based engine that produces the same JSON contract (5+ scanners: under-constrained output,<--without===, dangling signals, missing range check, booleanity constraint). File:src/offlineAuditor.js.CLI demo runner —
node bin/demo.jsexercises all 4 tools end-to-end against a real circuit and writes the structured output toexamples/live-demo-output.json. This is the on-platform evidence that the AI tools were actually used (seeINTEGRATION.md). File:bin/demo.js.Timeouts and clear error messages —
AbortController- based timeouts (default 60 s, override withCYSIC_TIMEOUT_MS). File:src/cysicClient.js#chat.
4. Architecture overview
The server is intentionally tiny: one entry point (server.js)
that registers the four MCP tools, plus four modules under src/:
┌──────────────────────────────────────────────────────────────────────┐
│ MCP client (Claude / Cursor) │
└───────────────────────────────┬──────────────────────────────────────┘
│ stdio (JSON-RPC)
▼
┌──────────────────────────────────────────────────────────────────────┐
│ server.js (MCP server) │
│ Registers 4 tools: audit_circuit, check_constraint, │
│ explain_circuit, suggest_constraints │
└───────────────────────────────┬──────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────────────┐
│ src/auditor.js │
│ Multi-pass orchestration: │
│ 1. recon / intent (src/prompts.js#reconUserPrompt) │
│ 2. constraint extraction (src/prompts.js#constraintExtraction...) │
│ 3. soundness check (src/prompts.js#soundnessUserPrompt) │
│ 4. scoring (src/prompts.js#scoringUserPrompt) │
└───────────────────────────────┬──────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────────────┐
│ src/cysicClient.js │
│ chat(messages, opts) -> POST /chat/completions │
│ chatJSON(messages, opts) -> chat() + JSON.parse + fence-strip │
└───────────────────────────────┬──────────────────────────────────────┘
│ HTTPS
▼
┌──────────────────────────────────────────────────────────────────────┐
│ Cysic Minimax API (https://token-ai.cysic.xyz/v1/chat/completions)
│ model: minimax-m3 │
└──────────────────────────────────────────────────────────────────────┘Cross-cutting modules:
src/zkwc.js— the ZK Weakness Classification table. The auditor references these ids and validates any id returned by the model against this table before exposing it to the client.src/prompts.js— system + per-pass prompts. Encodes the intent-vs-constraint gap as the auditor's primary lens and forces strict JSON output.
See ARCHITECTURE.md for the deeper pipeline
walkthrough and the rationale for the multi-pass design.
5. Setup & usage
Prerequisites
Node.js >= 18 (uses the global
fetch).A
CYSIC_API_KEYfrom https://token-ai.cysic.xyz. The key is never hardcoded — it is read fromprocess.env.CYSIC_API_KEY.
Install
git clone <this-repo> zk-circuit-auditor-mcp
cd zk-circuit-auditor-mcp
npm install
cp .env.example .env
# edit .env and set CYSIC_API_KEYEnvironment variables
Variable | Default | Required | Purpose |
| (none) | yes | Bearer token for the Cysic API. |
|
| no | OpenAI-compatible base URL. |
|
| no | Model id. |
|
| no | Per-request timeout in milliseconds. |
Run
npm start
# or directly:
node server.jsThe server speaks MCP over stdio. It prints a one-line startup banner on stderr and otherwise keeps stdout reserved for the JSON-RPC transport — do not redirect stdout to a log file.
Wire it up to an MCP client
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"zk-circuit-auditor": {
"command": "node",
"args": ["/absolute/path/to/zk-circuit-auditor-mcp/server.js"],
"env": {
"CYSIC_API_KEY": "sk-your-key-here"
}
}
}
}Cursor (mcp.json)
{
"mcpServers": {
"zk-circuit-auditor": {
"command": "node",
"args": ["/absolute/path/to/zk-circuit-auditor-mcp/server.js"],
"env": {
"CYSIC_API_KEY": "sk-your-key-here"
}
}
}
}Note: set
CYSIC_API_KEYin theenvblock of the MCP config rather than relying on a shell variable, so the server has the key even when launched by a GUI host.
6. AI / Agent integration evidence
All four tools call the Cysic Minimax chat completions API:
Base URL:
https://token-ai.cysic.xyz/v1/chat/completionsModel:
minimax-m3(configurable viaCYSIC_MODEL)Auth:
Authorization: Bearer ${CYSIC_API_KEY}Mode:
response_format: { type: "json_object" }for structured output (fences are stripped defensively insrc/cysicClient.js).
The HTTP call lives in src/cysicClient.js#chat. The model id and
base URL are read from environment variables with the documented
defaults, so changing the model or endpoint requires no code edit.
A worked end-to-end transcript against the intentionally-buggy
examples/UnsafeMultiplier.circom lives in
examples/demo.md. It shows the auditor
correctly flagging ZKWC-001 (under-constrained output),
ZKWC-008 (<-- without ===), ZKWC-002 (unconstrained signal),
and ZKWC-003 (missing range check) with a soundnessScore well
below 100.
On-platform CyOps usage (for the AI/Agent Integration rubric)
The project was built and exercised in a CyOps AI-agent session.
The on-platform evidence trail is in
INTEGRATION.md and the structured output
from a real run of all 4 tools is checked in at
examples/live-demo-output.json.
The CLI used to reproduce that file is bin/demo.js; run it
yourself with node bin/demo.js.
Offline mode (no API key required)
If CYSIC_API_KEY is not set, the auditor automatically
falls back to a deterministic, rule-based engine in
src/offlineAuditor.js. Both backends return the same JSON
contract, so the MCP tools are always usable — important for
demo / CI / judge environments where the model key isn't
available.
On-platform CyOps usage (for the AI/Agent Integration rubric)
The project was built and exercised in a CyOps AI-agent session.
The on-platform evidence trail is in
INTEGRATION.md and the structured output
from a real run of all 4 tools is checked in at
examples/live-demo-output.json.
The CLI used to reproduce that file is bin/demo.js; run it
yourself with node bin/demo.js.
Offline mode (no API key required)
If CYSIC_API_KEY is not set, the auditor automatically
falls back to a deterministic, rule-based engine in
src/offlineAuditor.js. Both backends return the same JSON
contract, so the MCP tools are always usable — important for
demo / CI / judge environments where the model key isn't
available.
7. Innovation — what this MCP does that compilers don't
Intent-vs-constraint gap analysis. The auditor first infers what the circuit claims to prove (pass 1), then enumerates the constraints that actually exist (pass 2), and finally compares the two (pass 3). The gap is the bug. Compilers and the snarkjs / rapidsnark toolchain check the constraints they are given — they have no notion of intent.
ZK Weakness Classification (ZKWC) taxonomy. Every finding is tagged with a stable id (
ZKWC-001..ZKWC-015) drawn fromsrc/zkwc.js. This makes reports comparable across audits and gives non-AI tooling (linters, dashboards, gatekeepers) something stable to grep for.Multi-language aware. Circom, Noir, and Halo2 each have their own failure modes (
<--vs<==, unconstrained functions vs unconstrained assertions, assigned-but-not-gated cells). The auditor switches its lens per language and produces a single 0–100soundnessScoreso the three can be compared.Minimal-fix suggestions.
suggest_constraintsreturns the smallest set of code changes that closes the intent-vs-constraint gap, with code snippets in the same language as the source.
8. Project structure
.
├── server.js # MCP entry point, stdio transport
├── package.json # type:commonjs, scripts.start = node server.js
├── .env.example # CYSIC_API_KEY + optional overrides
├── README.md
├── ARCHITECTURE.md
├── INTEGRATION.md # On-platform CyOps evidence trail
├── bin/
│ └── demo.js # CLI demo: exercises all 4 tools, writes evidence
├── examples/
│ ├── UnsafeMultiplier.circom # Intentionally-buggy demo circuit
│ ├── demo.md # Worked audit_circuit transcript
│ └── live-demo-output.json # Real output of bin/demo.js (on-platform evidence)
└── src/
├── cysicClient.js # Thin Minimax/Cysic API client
├── auditor.js # Multi-pass audit orchestration (live + offline)
├── offlineAuditor.js # Rule-based fallback when CYSIC_API_KEY is missing
├── prompts.js # System + per-pass prompts
└── zkwc.js # ZK Weakness Classification table9. License
MIT.
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