Analyze cache savings from prompt caching across all detected AI coding tools.
MIT
306,573 tools. Last updated 2026-07-26 01:39
"Enhancing AI for Coding" matching MCP tools:
- Get coding assistance by consulting an AI model for second opinions, explanations, or complex problem solving.MIT
- Retrieve AI-assisted coding analytics including adoption timeline, contribution share, human vs AI comparison, project-level AI dependency, and efficiency trends over a specified time range.ISC
- Generate configuration files for AI coding assistants by specifying target tools and an output directory.MIT
- Improve AI IDE responses by restructuring coding prompts with language-specific context and clear requirements before submission.MIT
- Lists AI coding tools supporting OpenCrater Blips. Enables verification of compatible platforms for USDC monetization.MIT
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Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
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- 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
- 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