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"Kong" matching MCP servers:

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    A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through natural language.
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    44
    Apache 2.0
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    Implements Chain of Thought methodology for extended sequential thinking on complex reasoning tasks. Enables AI clients to break down and solve problems that require deep, step-by-step logical analysis.
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    MIT
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    Connects MCP clients to Kongen Labs' Pattern Intelligence API for reasoning regime detection, structural transfer scoring, and intelligent model routing.
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    MIT
  • A
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    quality
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    Provides a moby-like random name generator through the Model Context Protocol, enabling AI assistants to generate random Docker-style names for use in applications and workflows.
    1
    MIT
  • A
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    quality
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    Provides a moby-like random name generator through the MCP interface for generating Docker-style random names. Integrates with Claude Desktop and VS Code Copilot Agent to enable name generation functionality.
    1
    MIT
  • A
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    quality
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    An MCP server that provides a long-running tool with configurable timeouts and periodic progress notifications, preventing Claude Code from disconnecting during healthy long tasks.
    1
    MIT
  • A
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    quality
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    Enhanced Figma MCP Server that exposes prototype flow data — screen lists, prototype connections, and full flow maps — via the Figma REST API. Designed as a replacement for the official Figma MCP server, adding prototype interaction layer so Claude Code can understand entire user flows from a single Figma URL.
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    3
    MIT
  • A
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    Enables AI agents to fully automate Appwrite backend operations with 143 tools covering databases, users, storage, functions, messaging, and more. Supports advanced features like GeoJSON attributes, file uploads, function deployment, and bulk operations.
    3
  • A
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    An experimental MCP server demonstrating remote calls via FastAPI, supporting ping-pong commands through API endpoints and SSE transport.
    2
    MIT
  • -
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    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.
  • F
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    quality
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    A centralized management platform that aggregates multiple Model Context Protocol (MCP) servers into a single unified endpoint for AI agents. It provides a web interface for hot-swappable tool management, proxying of existing servers, and AI-powered generation of custom MCP plugins.
    1