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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. Track self-correction and emotional tone automatically.

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

    Detect if a text contains self-reflective elements

  2. 02

    Analyze sentiment

    Analyze the sentiment of a given text

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-alternative-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 essential for anyone building complex, multi-step AI agents. If you need to monitor how your agent thinks, fails, and recovers, this capability gives you the metrics. It moves beyond simple success/fail checks, giving you deep observability into the agent's cognitive process.

  • 01

    ML Engineers

    Use this to debug complex agent workflows and quantify self-correction rates.

  • 02

    QA Testers

    Test agent resilience by analyzing logs for error markers and recovery attempts.

  • 03

    Observability Specialists

    Monitor agent performance in production, tracking state changes and sentiment over time.

FAQ

Questions Agent Self-Reflection & Sentiment Scanner owners ask.

  • 01

    What kind of logs does this MCP analyze?

    It analyzes agent execution logs. These logs are the detailed records of the agent's internal steps, including any self-talk, errors, or successful completions.

  • 02

    Does it tell me if the agent is 'thinking'?

    Yes. The MCP includes a capability that detects self-reflective elements, which helps you pinpoint when the agent is expressing internal thought processes.

  • 03

    Can I use this to check for errors?

    Absolutely. It performs exact phrase matching for error recognition markers, allowing you to calculate a self-correction frequency rate.

  • 04

    Is this just a general sentiment capability?

    No. While it analyzes sentiment, its core function is agent observability. It pairs sentiment analysis with self-correction tracking and state determination.

  • 05

    What clients can I connect this MCP to?

    You can connect this MCP to any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

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