• SYNC STATUS
  • EVIDENCE MAP
  • ACTION LIST
  • HUMAN REVIEW

How to validate documentation sync with your AI

Connect this MCP to your AI client to audit your codebase against your documentation. It finds the gaps where code has moved but the docs haven't.

Ask AI about this page

Short answer

How do I check if my docs match my code?

Your AI compares recent code changes to your existing documentation files to find discrepancies. It provides an evidence map showing exactly where the documentation is outdated. You get a clear list of what needs fixing.

The results of your audit.

Where your sync issues land.

The AI organizes its findings into these specific outcomes.

SYNC STATUS

A clear gap analysis

The AI identifies every instance where code logic has changed without a corresponding documentation update. You see exactly what's out of date.

EVIDENCE MAP

Verified change links

The agent maps specific code diffs to documentation sections. This proves why a specific doc is now incorrect.

ACTION LIST

Prioritized update tasks

You receive a list of specific documentation files that require immediate attention based on the code changes found.

HUMAN REVIEW

Manual verification needed

The AI flags complex logic changes that require a human to decide if the documentation should be updated or if the code change was an outlier.

The workflow

What your AI does when the sync request arrives.

The AI handles the heavy lifting of comparing files so you don't have to manually hunt for mismatches.

  1. Scan code changes

    The agent looks at your recent commits and identifies the specific lines of code that were modified.

    validate_task_completion
  2. Analyze documentation

    The AI reads your existing documentation files to understand the current stated logic and structure.

    validate_task_completion
  3. Map evidence

    It compares the new code against the old documentation to find contradictions or missing descriptions.

    validate_task_completion
  4. Report discrepancies

    The agent compiles a list of all identified sync issues and presents them for your review.

    validate_task_completion

Try it

Copy these to start.

Use these prompts once you have connected the MCP.

Starting points

These are opening lines. Swap in your specific repository or file paths to get started.

Task Completion Enforcer Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Task Completion Enforcer Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "task-completion-enforcer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp"
    }
  }
}
Copy into chat04
  • Check the 'auth' folder in my repo and tell me if the documentation matches the latest changes.

  • Compare my recent commits in the 'api-gateway' directory against the README files.

  • Validate if the changes in my 'user-service' code are reflected in the technical docs.

  • Run a sync audit on my current project to find any outdated documentation.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Task Completion Enforcer Prover once, then ask.

Just link the MCP to your AI client. Your credentials stay encrypted, and you can start auditing your docs immediately.

Connect Task Completion Enforcer Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically update my documentation files?

    No. The AI identifies the gaps and provides the evidence, but you must manually review and commit the documentation changes.

  • 02

    Does it work with any documentation format?

    Yes, as long as the documentation is in a text-based format like Markdown that your AI client can read.

  • 03

    Will it change my code?

    No. This MCP is designed to read and validate, not to modify your source code.

  • 04

    How does it know which code changes to look at?

    It looks at the recent changes and diffs provided in the context of your repository or file path.

  • 05

    Can it find errors in my logic?

    It finds discrepancies between what the code does and what the documentation says. It doesn't perform deep logical debugging of the code itself.

  • More questions about Task Completion Enforcer Prover? The Connector page answers them. See everything the Task Completion Enforcer Prover Connector can do

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