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  1. Home
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  3. Blind Auditor
Blind Auditor logo
Health: ActiveRecent health check succeeded.Last checked 9/6/2026, 10:17:39 PM

Blind Auditor

User RatingsBe the first to rate and review this MCP server!
View Repository11 GitHub StarsTotal stargazers on GitHub for the source repository (11 stars).Visit Website
code-auditingdeveloper-toolssecuritymcp

Audits AI-generated code through isolated self-review, configurable rules, score thresholds, and automatic fix retries.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for sim-xia/blind-auditor, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🤖 More in Coding Agents

Overview

sim-xia/blind-auditor MCP server inserts a mandatory audit phase before an AI agent can release generated code. The agent submits a draft, receives an isolated auditor instruction, evaluates the draft against rules.json, and submits a score and issue list. Failed audits trigger a fix-and-resubmit cycle until the score reaches the threshold or retries are exhausted. Reach for it when an MCP-compatible coding workflow needs enforced review rules without a separate API key.

Use cases

•Enforce code review rules before an agent displays generated code
•Require security checks for hardcoded keys and sensitive tokens
•Retry generated code after audit failures
•Apply project-specific style and performance rules

Key features

•Isolated prompt-based audit phase
•Configurable rules.json policy
•Score threshold and critical-issue rejection
•Automatic fix-and-resubmit loop
•Session reset and retry tracking

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Blind Auditor.

Extracted Tool Capabilities
Isolated prompt-based audit phase
Configurable rules.json policy
Score threshold and critical-issue rejection
Automatic fix-and-resubmit loop
Session reset and retry tracking

How Blind Auditor works

What sim-xia/blind-auditor MCP server does

sim-xia/blind-auditor MCP server adds a review gate between code generation and final output. An agent submits a draft instead of showing it directly, then receives an instruction to switch into an independent “Ruthless Auditor” role. The agent reviews the draft against a project-specific rulebook and reports its findings back through MCP.

The server is intended to reduce errors and generation bias by making the reviewing step explicit. It does not perform syntax parsing itself; the agent interprets the natural-language rules and evaluates the code. The README states that the approach can be used with any programming language because the audit depends on the agent’s understanding rather than a language parser.

How it works

The workflow has four main stages:

  1. The agent calls submit_draft with code content and its programming language.
  2. The server locks the session and returns mandatory audit instructions.
  3. The agent reviews the draft and calls submit_audit_result with a Boolean verdict, issue list, and score from 0 to 100.
  4. The server either unlocks the draft or starts another correction cycle.

A score below 80 is rejected even if the agent reports that the draft passed. Critical findings also cause failure according to the documented workflow. When an audit fails, the retry count increases and the agent must fix and resubmit the code. After the configured retry limit, the workflow can force output with a warning.

The sim-xia/blind-auditor MCP server relies on a prompt-based context switch rather than a second model or separate audit API. It reuses the host IDE’s current model session, so the README states that no additional API key is needed.

Setup and configuration

The project requires Python 3.10 or newer and uv. From the cloned project directory, install dependencies with uv sync, then run the server with uv run blind-auditor. The README also documents uv run python -m src.main as an alternative development launch command.

Create rules.json in the project root to define the audit policy. Its documented settings include a project name, strict-mode flag, maximum retries, and a list of rules. Each rule can specify an identifier, severity, description, and penalty weight. CRITICAL rules are fatal, WARNING rules apply moderate penalties, and PREFERENCE rules represent lower-impact style requirements. The example uses a default passing threshold of 80.

The IDE or MCP client must also receive a system instruction telling the agent not to output code before calling the audit tool. The README provides configuration examples for Claude Desktop, Cursor, and Windsurf. The MCP entry runs uv with run, a project directory, and the blind-auditor command; the directory value must be replaced with the local clone path.

Tools and capabilities

The sim-xia/blind-auditor MCP server exposes three documented tools:

  • submit_draft: accepts code and language, locks the session, and returns audit instructions.
  • submit_audit_result: accepts passed, issues, and score; it releases or rejects the draft and manages retries.
  • reset_session: clears session state and resets the retry count.

Its capabilities include configurable team rules, severity-weighted scoring, a minimum score check, retry-based remediation, and session reset. The project is released under the MIT License. The README describes it as zero-cost and does not document any required credentials or paid service dependency.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
11
Stargazers on the source repository.
Last commit
9mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Blind Auditor

Install Python 3.10+ and uv, enter the cloned project directory, run `uv sync`, and start it with `uv run blind-auditor`.

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Technical Specs & Signals

Category🤖Coding Agents
PricingFree
More technical detailsExpand ▾
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars11
GitHub Star CountTotal stargazers on GitHub representing community popularity (11 stars).
Last commit9mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Dec 10, 2025
40Quality signal: Fair · 40/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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