• CRITICAL
  • LOGIC
  • PATTERN
  • HUMAN

How to verify async performance logic with your AI

Connect this MCP to your AI client to audit your TypeScript code for concurrency flaws. It finds the specific lines where async operations might stall your application.

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Short answer

How can I check if my async TypeScript code is efficient?

Your AI uses this MCP to trace execution paths and identify where unawaited promises or heavy synchronous blocks stall the event loop. You get a breakdown of concurrency risks and specific code fixes.

Where every issue lands.

The outcomes of an audit

The AI categorizes every finding into actionable buckets.

CRITICAL

Event loop blockers

The AI identifies synchronous code that halts the entire process. You get the exact file and line number to fix.

LOGIC

Race condition risks

The AI flags improper use of shared state during async operations. You receive warnings about potential data corruption.

PATTERN

Concurrency improvements

The AI suggests better ways to run tasks in parallel. You get specific patterns like Promise.all instead of sequential awaits.

HUMAN

Manual review required

The AI highlights complex architectural decisions that require your judgment. It marks these areas so you don't waste time on automated checks.

The workflow

What your AI does when the code arrives.

The AI moves from raw code analysis to structured performance reporting.

  1. Scan source code

    The AI reads your local files to map out all asynchronous call sites and promise chains.

    validate_typescript_excellence

  2. Detect blocking calls

    The AI looks for heavy computations or synchronous loops that prevent the event loop from turning.

    validate_typescript_excellence

  3. Identify concurrency flaws

    The AI checks for unhandled rejections and improper promise handling that leads to race conditions.

    validate_typescript_excellence

  4. Generate fix suggestions

    The AI produces specific code snippets to optimize your async flow and prevent bottlenecks.

    validate_typescript_excellence

Try it

Copy these to start.

Use these prompts to kick off an audit in your AI client.

Starting points

Replace the file paths and folder names with your actual project locations.

TypeScript Excellence Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_1kr66CHRnKbRaNiyxGJfHPnbA94u2t6KoxcwdDE6/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 — TypeScript Excellence Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "typescript-excellence-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1kr66CHRnKbRaNiyxGJfHPnbA94u2t6KoxcwdDE6/mcp"
    }
  }
}
Copy into chat04

  • Check the async logic in ./src/services/auth.ts for any event loop blockers.

  • Scan the ./src/controllers folder and find where I'm missing awaits on promises.

  • Analyze the concurrency patterns in my database connection module to see if I'm causing race conditions.

  • Review the async/await usage in the entire ./src directory and suggest better parallel execution patterns.

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

Start here

Connect TypeScript Excellence Prover once, then ask.

One click connects this MCP to your AI client. Your credentials stay encrypted, and you can start auditing code immediately.

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FAQ

How this task behaves

  • 01

    Can the AI automatically fix my code?

    No. The AI identifies the issues and suggests fixes, but you must manually apply the changes to your files.

  • 02

    Does this MCP change my source files?

    No. The tool only reads your code to perform the analysis. It does not write or overwrite any files.

  • 03

    How does it find event loop blockers?

    The AI uses the validate_typescript_excellence tool to trace execution paths and find synchronous code that prevents the event loop from processing other tasks.

  • 04

    Can it check my runtime performance?

    No. This tool analyzes your static TypeScript code for structural flaws. It does not monitor live application performance or real-time metrics.

  • 05

    Will it catch all race conditions?

    It catches common patterns like unawaited promises or shared state issues, but it cannot predict every possible runtime timing conflict.

  • More questions about TypeScript Excellence Prover? The Connector page answers them. See everything the TypeScript Excellence Prover Connector can do

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