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620,131 tools. Updated 2026-09-29 00:03

"Enhancing AI for Coding" matching MCP tools:

  • Analyze AI-assisted coding adoption over time, compare human vs AI contributions by language, and track efficiency trends to understand AI's impact on development.
    ISC
  • Search AiWiki for AI-coding pitfalls and LLM privacy protection answers. Get cited explanations and solutions for recurring AI failures.
    CC BY-SA 4.0
  • Get coding assistance by consulting an AI model for second opinions, explanations, or complex problem solving.
    MIT
  • Generate configuration files for AI coding assistants, embedding React Native best practices, API validation rules, and project context to guide AI code suggestions.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
    26 npm
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.
    MIT

Matching MCP Connectors

  • 日本の成人向け作品 (18歳以上) の出演者・作品検索。画像からの出演者判定はサイトで発行する認証コードが必要。

  • Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data

  • Identify common LSL pitfalls to prevent AI coding errors. Filter pitfalls by category or AI source for targeted guidance.
    -
  • List downloadable doctrine and agent asset artifacts to import as native skill or rule files into your AI coding tool. Returns assets with format, version, download URL, and platform target.
    MIT
  • Convert an annotation into a ready-to-paste coding prompt formatted for your target AI assistant (Claude, Copilot, Cursor, etc.) using a deterministic template with no AI spend.
    MIT
  • Save permanent operational rules learned during coding sessions. These rules persist and auto-surface in search results to prevent AI agents from repeating mistakes.
    Business Source 1.1
  • Verifies all project repositories have no uncommitted changes and documentation is up-to-date, returning a checklist of required actions to resolve before ending a coding session.
    Business Source 1.1
  • Get a second opinion from another AI model or route a task to a specialized model for coding, reasoning, or low-cost execution. Choose a mode or exact model to control quality and cost.
    MIT
  • Link your AI coding session to a Karea task to record session history and obtain a resume command. Assign task, provider, and session ID to enable later continuation.
    MIT
  • Retrieve AI coding sessions linked to a task, showing provider, session ID, label, last active time, and resume command. Use this read-only tool to view session details without making changes.
    MIT
  • Retrieve LLM-readable documentation for a module, including rules and implementation notes, to guide coding against the module contract.
    MIT
  • Delegate a scoped coding task to an external AI worker in an isolated git worktree with independent verification.
    MIT
  • Analyze local tokscale data to rank AI tools by token, cost, and message share. Identify which coding tools dominate your workflow with privacy-friendly local processing.
    MIT
  • Search over 1700 AI prompts for ChatGPT, Claude, Midjourney, and more. Find copy-paste-ready templates for writing, coding, marketing, and other tasks.
    MIT