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"How to implement intent recognition in MCP" matching MCP servers:

  • Shepherd MCP

    neuralis-in
    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
    18
    MIT

  • competlab-mcp-server

    competlab
    A
    license
    A
    quality
    B
    maintenance
    Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.
    33
    2
    MIT

  • n8n Advisor

    m2ai-mcp-servers
    A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to review workflow status in n8n instances, including active/inactive counts and workflows with recent errors.
    1
    MIT

  • MCP Sentry

    MCP-100
    F
    license
    B
    quality
    D
    maintenance
    A Model Context Protocol server that retrieves and analyzes Sentry.io issues, allowing users to inspect error reports, stacktraces, and debugging information from their Sentry account.
    2
    22

  • Adjust MCP

    bitscorp-mcp
    A
    license
    C
    quality
    D
    maintenance
    MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.
    2
    21
    2
    MIT
  • UNWIND by unwind-mcp

    UNWINDofficial

    unwind-mcp
    A
    license
    -
    quality
    B
    maintenance
    A security layer for AI agents that monitors, checks, and records every action, providing a trust light, timeline, rewind, and ghost mode for testing without consequences.
    2
    AGPL 3.0

  • Sentry

    universal-mcp
    A
    license
    -
    quality
    D
    maintenance
    Enables interaction with Sentry's error tracking and monitoring tools through a unified API, allowing natural language access to Sentry services.
    MIT

  • MaxStat MCP

    fbmdata
    A
    license
    -
    quality
    A
    maintenance
    Official remote MCP server for searching, analyzing, and monitoring channels and publications in the MAX messenger.
    2
    MIT

  • inngest-cloud-mcp

    doctone
    A
    license
    -
    quality
    C
    maintenance
    MCP server for the Inngest Cloud REST API to inspect functions, runs, and events in production from Claude Code, Cursor, or any MCP client.
    45
    1
    MIT

  • Querysharp MCP Server

    WeePulse
    A
    license
    -
    quality
    C
    maintenance
    Enables AI assistants to analyze and optimize PostgreSQL database performance by identifying missing indexes and suggesting query rewrites. It allows users to retrieve database projects and implement performance fixes directly through natural language in their code editor.
    17
    2
    MIT

  • atera-mcp

    wyre-technology
    A
    license
    -
    quality
    A
    maintenance
    MCP server for the Atera RMM API. Implements a decision tree architecture for efficient tool discovery, enabling Claude to manage devices, alerts, tickets, and customers in Atera.
    Apache 2.0

  • Epovest

    Epovest
    A
    license
    -
    quality
    B
    maintenance
    Make AIs recommend your business. Measures how AI assistants answer the questions your market asks, which sources they cite, and gives the levers to shape those answers. 43 tools on a hosted Streamable HTTP endpoint at https://mcp.epovest.com/mcp
    MIT

  • MCP-Dandan

    82ch
    A
    license
    -
    quality
    B
    maintenance
    Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.
    65
    MIT

  • Debug MCP Server

    rob-long
    -
    license
    -
    quality
    -
    maintenance
    Enables AI-powered debugging through structured logging with pattern recognition and intelligent analysis. Allows applications to write structured logs and receive actionable debugging insights based on error patterns and frequency analysis.