Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent Self-Reflection Sentiment Scanner with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know exactly how reliable your autonomous workflows are.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Agent Self-Reflection Sentiment Scanner capability set.

These are the exact actions your AI can choose when you ask it to work with Agent Self-Reflection Sentiment Scanner.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent Self-Reflection Sentiment Scanner.

  1. 01

    Calculate rate

    Computes the statistical frequency of self-corrections relative to the number of loops performed

  2. 02

    Scan logs

    Analyzes raw log files to identify and count specific markers

  3. 03

    Get summary

    Aggregates all scanning and calculation data into a single high-level report

Observed, not estimated

816ms average. Fast in production.

Agent Self-Reflection Sentiment Scanner is checked daily against the live service.

Daily averagePeak 997ms
Aug 20Today
Fastest day
656ms
Slowest day
997ms
14-day trend
Slowing+18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Agent Self-Reflection Sentiment Scanner, so you can see the experience inside your AI.

It does not authenticate your account with Agent Self-Reflection Sentiment Scanner. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent Self-Reflection Sentiment Scanner Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_zVnWh5laIaPjvHbRTMRdjkz3bR3SOhCs4DZa8Sib/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 — Agent Self-Reflection Sentiment Scanner capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-self-reflection-sentiment-scanner-1-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_zVnWh5laIaPjvHbRTMRdjkz3bR3SOhCs4DZa8Sib/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

Who it's for

Built for the work Agent Self-Reflection Sentiment Scanner owners hand off.

This MCP is built for ML Engineers, AI Developers, and DevOps specialists who build or manage autonomous agents. If your agent's reliability is mission-critical, you need to move past simple testing and start quantifying its ability to fix itself. You hand off raw agent execution logs to the AI client, which then uses this MCP to generate actionable stability metrics.

  • 01

    ML Engineer

    Needs to analyze agent logs to quantify self-correction rates for model debugging.

  • 02

    AI Developer

    Uses this to test and validate the stability of complex, multi-step agent workflows.

  • 03

    DevOps Specialist

    Integrates the MCP to monitor the operational health of deployed, autonomous services.

FAQ

Questions Agent Self-Reflection Sentiment Scanner owners ask.

  • 01

    Does this MCP analyze the agent's code or the logs?

    It analyzes the raw log files generated during the agent's execution. You provide the logs, and the MCP reads them to find specific markers, not the underlying code structure.

  • 02

    What does 'Self-Correction Frequency Rate' mean?

    It's a statistical metric that tells you how often the agent successfully identifies and fixes its own mistakes relative to the total number of times it ran a loop. A higher rate suggests better stability.

  • 03

    Can I use this with any AI client?

    Yes. Because this MCP is hosted on Vinkius, you connect it using any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    What kind of markers does it track?

    It tracks specific markers, including Error Recognition Markers (when the agent realizes it failed) and Success Markers (when the task completes correctly).

Explore

More in Observability

Suggestions