MCP server for DayZ Enforce Script that gives AI coding assistants deep knowledge of the DayZ scripting API with semantic search, code validation, class hierarchy, and reverse call graphs.
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全面解析MCP Github MapperMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Github Mapper能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
开发工具HTTP
- 安装状态
- 已补齐
命令预览
npx -y @smithery/cli install github-mapper-mcp-server --client claude
公开目录未提供摘要。
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MCP servers for connecting debuggers to AI agents. Supports GDB, LLDB and PDB.
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Database MCP Server written in Golang
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An MCP plugin that provides access to NCBI's dbSNP database, allowing developers to retrieve genetic variant information, search for SNPs, and access clinical significance data directly in their development environment.
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全面解析Dbt Cli MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Dbt Cli MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
开发工具HTTP
- 安装状态
- 已补齐
命令预览
pip install -r requirements.txt
Provides intelligent dbt assistance through Claude Code integration, enabling users to perform dbt CLI operations, explore project metadata, and execute SQL queries against DuckDB warehouse with context-aware support.
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mcp server example
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公开目录未提供摘要。
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A basic MCP server template built with FastMCP framework that provides example tools for echoing messages and retrieving server information. Serves as a starting point for developing custom MCP servers with Docker support and CI/CD integration.
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A basic MCP server template with example tools for echoing messages and retrieving server information. Built with FastMCP framework and supports both stdio and HTTP transports for integration with various clients.
开发工具未说明
A basic MCP server template built with FastMCP framework that provides example tools for echoing messages and retrieving server information. Serves as a starting point for building custom MCP servers with support for both stdio and HTTP transports.
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A basic MCP server built with FastMCP framework that provides example tools including message echoing and server information retrieval. Supports both stdio and HTTP transports for integration with various MCP clients.
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Enables AI assistants to facilitate structured multi-model debates that synthesize multiple perspectives into clear categories like ground truths and blind spots. It provides tools for running real-time debates, checking model health, and managing history via the Model Context Protocol.
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Enables AI coding agents to debug Python projects by running pytest, extracting failure locations, displaying code context around failures, and optionally requesting fix suggestions from Gemini.
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MCP server for interactive debugging
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Provides real-time debugging, code quality monitoring, and performance insights for React/Next.js applications with features including Chrome DevTools integration, breakpoint management, complexity analysis, and live error streaming.
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Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
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An intelligent debugging assistant that automates the debugging process by analyzing bugs, injecting HTTP-based debug logs into code across multiple environments (browser, Node.js, mobile, etc.), and iteratively fixing issues based on real-time feedback.
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