Analyze AI-assisted coding metrics: track adoption over time, compare human vs AI contributions by language, and assess project-level AI dependency with efficiency trends.
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306,884 tools. Last updated 2026-07-27 07:28
"Enhancing AI for Coding" matching MCP tools:
- Generate configuration files for AI coding assistants by specifying target tools and an output directory.MIT
- Lists AI coding tools supporting OpenCrater Blips. Enables verification of compatible platforms for USDC monetization.MIT
- 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
- Chat with diverse AI models for second opinions or specialized tasks. Use modes for coding, reasoning, cheap, or free options, or pick a model directly.MIT
- Check your codebase for coding conventions to ensure new code matches existing patterns and style.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceProvides 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.Last updated9Apache 2.0
- AlicenseAqualityAmaintenance50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.Last updated508064MIT
Matching MCP Connectors
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
Semantic product search over Singapore e-commerce, ranked by an auditable entropy-based value-score
- Generate a formatted coding prompt for an annotation, ready to paste into Claude, Copilot, or other assistants.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
- Run a local Warp Oz AI agent for coding tasks like refactoring, testing, debugging, or explaining code. Agent can create or modify files in the workspace and uses no cloud credits.MIT
- Persist instructions for a volume so all agents automatically follow coding conventions, project rules, or team preferences.MIT
- 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
- Retrieve LLM-readable documentation for a module, including rules and implementation notes, to guide coding against the module contract.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Delegate a scoped coding task to an external AI worker in an isolated git worktree with independent verification.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
- Execute AI coding agents in parallel batches to analyze, refactor, or generate code across multiple files using automated permission handling.Apache 2.0
- Scan a project directory for security issues in AI-generated code. Returns high-confidence findings as JSON; optionally includes medium-confidence findings. Use before shipping.MIT
- Migrate workspace environments between AI coding agents by syncing MCP server configurations, workflows, rules, and skills across supported IDEs.Apache 2.0
- Refines vague coding requests into structured, agent-specific prompts by extracting requirements, filling edge cases, and running quality checks. Ideal for under-specified tasks before handing to a coding agent.MIT
- Route coding tasks to the optimal AI model based on complexity for code generation, refactoring, and algorithm design.MIT