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"A tool or platform for assisting in AI development" matching MCP servers:

  • FastMCP Development Assistant

    kongyo2
    -
    license
    A
    quality
    -
    maintenance
    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
    6

  • MCP X-Platform

    Atomic-Germ
    A
    license
    A
    quality
    D
    maintenance
    Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.
    8
    MIT

  • codeql-development-mcp-server

    advanced-security
    F
    license
    -
    quality
    A
    maintenance
    Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.
    31

  • Qwen MCP Tool

    Jaggerxtrm
    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.
    3
    14
    3
    MIT

  • Rovodev MCP Tool

    Jaggerxtrm
    A
    license
    B
    quality
    D
    maintenance
    Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.
    3
    21
    MIT

  • mcp-for-programmer

    zaizaizhao
    F
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.
    3
    26
    1

  • Hi-AI

    ssdeanx
    A
    license
    C
    quality
    D
    maintenance
    AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.
    36
    3
    MIT

  • AI Development Guidelines MCP

    anip1805-dotcom
    F
    license
    -
    quality
    D
    maintenance
    Provides AI agents with professional coding standards, development best practices, and context-aware guidance through static documentation and AI-powered custom recommendations. Enables agents to access comprehensive development guidelines including coding rules, debugging techniques, and AI steering instructions.

  • Gemini MCP Server for Claude

    raydollete
    A
    license
    A
    quality
    C
    maintenance
    Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
    3
    Apache 2.0

  • ai-r

    pro-target
    A
    license
    A
    quality
    B
    maintenance
    Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.
    18
    3
    MIT

  • Carrot AI PM

    talvinder
    A
    license
    D
    quality
    D
    maintenance
    Spec-driven development tool for AI coding assistants that generates specs, validates code compliance, and provides actionable feedback.
    11
    29
    MIT

  • AI Test Pilot

    Drzymek92
    A
    license
    -
    quality
    B
    maintenance
    An MCP server that generates, runs, and triages tests by introspecting Python modules or web pages, using structured LLM outputs for scenario generation and failure analysis.
    1
    MIT