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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. Pinpoint exactly where your AI agent fails or succeeds.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 2 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

01-02

2 capabilities in this set.

Part of 2 available through Agent Self-Reflection & Sentiment Scanner.

  1. 01

    Detect reflection

    This capability determines if a given text contains self-reflective elements, helping you see when the agent is thinking about its own process.

  2. 02

    Analyze sentiment

    Use this capability to evaluate the emotional tone of any text snippet from the agent's log.

Observed, not estimated

545ms average. Fast in production.

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

Daily averagePeak 671ms
Aug 20Today
Fastest day
463ms
Slowest day
671ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 2 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_F2yFzx4CchXScg2i4EwfRYqrArVJ0UEEfstzE52Z/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-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_F2yFzx4CchXScg2i4EwfRYqrArVJ0UEEfstzE52Z/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 AI engineers, QA specialists, and developers who need to debug complex, multi-step agent workflows. If you're building an agent that needs to monitor its own performance, this is your capability. It moves beyond simple pass/fail checks and gives you deep insight into the agent's cognitive process.

  • 01

    AI Engineer

    Uses this MCP to monitor agent performance and calculate self-correction rates in complex pipelines.

  • 02

    QA Tester

    Tests agent robustness by checking for consistent error handling and state transitions across multiple runs.

  • 03

    ML Developer

    Analyzes log sentiment to understand user or system feedback embedded within the agent's output.

FAQ

Questions Agent Self-Reflection & Sentiment Scanner owners ask.

  • 01

    What does 'self-correction frequency rate' mean?

    It's a metric that tells you how often the agent detects an error and attempts to fix it within a given number of steps. A high rate might mean the agent is struggling with the task, or it might mean it's highly robust.

  • 02

    Does this MCP work with all types of logs?

    It is designed for agent execution logs that contain natural language output, specifically looking for phrases that indicate success, failure, or internal thought processes.

  • 03

    Can I use this to check if an agent is emotional?

    Yes. The analyze_sentiment capability evaluates the emotional tone of the text. It's useful for checking if the agent's output is inappropriately negative or overly positive.

  • 04

    What is the difference between detect_reflection and sentiment?

    Sentiment checks the feeling (positive/negative) of the text. Reflection checks the process—it tells you if the agent is expressing internal thoughts about how it's solving the problem.

  • 05

    Do I need to write specific code to use this MCP?

    No. You connect it through your existing AI client (Claude, Cursor, etc.) in the Vinkius catalog. The client handles the connection and capability invocation for you.

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