How does Spec Prover catch bugs that manual review misses?

It forces the agent to perform a concrete trace with real numbers. While a human or agent might look at a formula and think it looks correct, the trace reveals errors like negative results or unhandled boundaries.

What happens if the agent's math is wrong?

The MCP will reject the call. If the agent's final output does not match the step-by-step arithmetic trace, the capability identifies the discrepancy and requires a correction.

Can I use this with any AI client?

Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf once connected through Vinkius.

What is an orphan constant?

An orphan constant is a value declared in the specification that is never actually used in any formula. The capability flags these to prevent confusing developers with unnecessary data.

Does this capability prevent division by zero errors?

Yes. It requires the agent to choose an edge case, such as a zero divisor, and verify that the specification explicitly defines how to handle that condition.

Does Spec Prover compute or verify the arithmetic itself?

No. Spec Prover performs zero computation. It forces the AI agent to structure its own reasoning into traceable steps, then validates that the reasoning is logically consistent. If the agent says the output matches the trace but also says the spec is wrong, the capability rejects the contradiction. The agent does all the math. the capability enforces honesty.

What happens when the capability rejects my proof?

The capability returns a detailed consistency error explaining exactly which Decision Pivot contradicts your verdict. For example, if you mark outputMatchesTrace: true but choose SPEC_WRONG, the rejection will explain that if the output matches your trace, the formula cannot be wrong. re-examine your trace arithmetic. Fix the contradiction and call the capability again with isRevision: true.

What kind of edge cases should I trace?

The capability requires edge case inputs that differ from your normal inputs. Focus on boundaries: zero values (0 cycles), negative results (subtraction below zero), maximum values (24 hours, 1440 minutes), wrap-around conditions (midnight crossover), and empty/null inputs. The capability rejects edge cases that are identical to normal inputs. a second normal case is not an edge case.

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Connect Spec Prover to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop shipping broken formulas by forcing your agents to prove every spec works.

Ask AI about this Connector

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MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Spec Prover.

01
Prove spec function
This capability forces your agent to execute a mathematical proof using concrete inputs and edge cases. It validates logical consistency by cross-checking the agent's verdict against a step-by-step arithmetic trace.

Real work

What teams actually run

Time and Scheduling Logic

Verify that time-based calculations correctly handle midnight wrap-around and negative offsets.

Financial Formula Verification

Ensure discount or tax formulas account for floating-point precision loss during rounding.

Physics Engine Specs

Validate that gravity or drag constants are correctly integrated into movement formulas.

Data Aggregation Rules

Confirm that average or sum calculations explicitly handle empty input arrays to avoid NaN errors.

Automate a task

Put Spec Prover to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Spec Prover works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Spec Prover to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

922ms average. Fast in production.

Spec Prover is checked daily against the live service.

Daily averagePeak 1125ms

Oct 3Today

Fastest day: 758ms
Slowest day: 1125ms
14-day trend: Improving-7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Spec Prover, so you can see the experience inside your AI.

It does not authenticate your account with Spec Prover. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Spec Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_NbIciblMWXQuIBLxYENirh67y4h51MySXcQihZn2/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Spec Prover capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "spec-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NbIciblMWXQuIBLxYENirh67y4h51MySXcQihZn2/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Spec Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Spec Prover owners hand off.

This MCP is built for teams using multi-agent pipelines where AI agents define the logic that humans and other agents later implement.

01
AI Product Manager
Uses the MCP to verify that the specifications they generate are mathematically sound.
02
System Architect
Uses the capability to ensure complex engine formulas handle edge cases before implementation begins.
03
QA Engineer
Uses the traces to identify the exact boundary conditions that need to be tested in the codebase.

FAQ

Questions Spec Prover owners ask.

01
How does Spec Prover catch bugs that manual review misses?
It forces the agent to perform a concrete trace with real numbers. While a human or agent might look at a formula and think it looks correct, the trace reveals errors like negative results or unhandled boundaries.
02
What happens if the agent's math is wrong?
The MCP will reject the call. If the agent's final output does not match the step-by-step arithmetic trace, the capability identifies the discrepancy and requires a correction.
03
Can I use this with any AI client?
Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf once connected through Vinkius.
04
What is an orphan constant?
An orphan constant is a value declared in the specification that is never actually used in any formula. The capability flags these to prevent confusing developers with unnecessary data.
05
Does this capability prevent division by zero errors?
Yes. It requires the agent to choose an edge case, such as a zero divisor, and verify that the specification explicitly defines how to handle that condition.
06
Does Spec Prover compute or verify the arithmetic itself?
No. Spec Prover performs zero computation. It forces the AI agent to structure its own reasoning into traceable steps, then validates that the reasoning is logically consistent. If the agent says the output matches the trace but also says the spec is wrong, the capability rejects the contradiction. The agent does all the math. the capability enforces honesty.
07
What happens when the capability rejects my proof?
The capability returns a detailed consistency error explaining exactly which Decision Pivot contradicts your verdict. For example, if you mark outputMatchesTrace: true but choose SPEC_WRONG, the rejection will explain that if the output matches your trace, the formula cannot be wrong. re-examine your trace arithmetic. Fix the contradiction and call the capability again with isRevision: true.
08
What kind of edge cases should I trace?
The capability requires edge case inputs that differ from your normal inputs. Focus on boundaries: zero values (0 cycles), negative results (subtraction below zero), maximum values (24 hours, 1440 minutes), wrap-around conditions (midnight crossover), and empty/null inputs. The capability rejects edge cases that are identical to normal inputs. a second normal case is not an edge case.

Explore

More in Productivity

Connect Spec Prover to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01

Prove spec function

What teams actually run

Time and Scheduling Logic

Financial Formula Verification

Physics Engine Specs

Data Aggregation Rules

Building your own app? The connector is yours to use.

Spec Prover Connector

Claude Desktop

AI Product Manager

System Architect

QA Engineer

How does Spec Prover catch bugs that manual review misses?

What happens if the agent's math is wrong?

Can I use this with any AI client?

What is an orphan constant?

Does this capability prevent division by zero errors?

Does Spec Prover compute or verify the arithmetic itself?

What happens when the capability rejects my proof?

What kind of edge cases should I trace?

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