Look up a URL and prompt in the local cache. Returns cached content instantly if available, or marks a cache miss.
MIT
180,147 tools. Last updated 2026-06-06 01:32
"Understanding Cache for Prompt Engineering" matching MCP tools:
- Analyze cache savings from prompt caching across all detected AI coding tools.MIT
- Store a WebFetch result in the cache after a cache miss to persist across sessions, enabling instant cache hits for identical URL and prompt.MIT
- Lists prompt templates for engineering reasoning workflows, enabling structured thought through step-by-step reasoning, branching, merging, and validation.Apache 2.0
- Clear the prompt classification cache to refresh routing decisions and ensure accurate model selection.MIT
- Discover available prompt engineering techniques with acceptance statistics to enhance AI interactions through optimized method selection.MIT
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- AlicenseAqualityBmaintenanceEnables AI agents to generate, view, and analyze engineering diagrams (RF, PCB, EMC) in draw.io using natural language prompts, with auto-layout and 269 engineering stencils.Last updated105AGPL 3.0
- Alicense-quality-maintenanceCache-first MCP server for Linear that provides tools to search, read, create, update, and comment on issues and projects, caching data locally to reduce API calls and respect rate limits.Last updated1MIT
Matching MCP Connectors
LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.
Cloudflare Workers MCP server: ai-prompt-optimizer
- Transform prompts using engineering best practices to improve clarity and effectiveness for AI assistants.MIT
- Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.MIT
- Provide answers to clarifying questions to continue prompt engineering for Claude Code, enabling interactive refinement of optimized prompts.MIT
- Analyze a system prompt for context engineering issues and get top findings ranked by severity. Use for reviewing, improving, or debugging AI agent prompts.MIT
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.MIT
- Read and cache a database's schema (tables, columns, foreign keys) for a given connection. Refresh after schema changes to update the cache used by list and describe tools.MIT
- Retrieve a specific prompt template from LangSmith by providing its exact name, enabling prompt reuse and management in language model workflows.MIT
- Search open bounties for paid engineering work across software, hardware, MCP servers, CAD, EDA. Filter by category, status, and payout to discover tasks matching your capabilities.MIT
- Lists Engineering Change Notices (ECNs) in a project, with optional filters by severity, status, and type.Apache 2.0
- Migrates Next.js applications to Cache Components mode. Automatically configures settings, starts dev server, detects errors via browser automation, adds Suspense boundaries and 'use cache' directives, and verifies zero errors.MIT
- Monitor cache performance and identify issues with offline browsing by checking health status and statistics for the collection cache system.
- Generate test cases for prompt templates to validate functionality against specified models and context schemas.Apache 2.0
- Retrieve current cache statistics and performance metrics to monitor system efficiency and optimize legal research operations.MIT
- List all cache instances with status, region, and connection details to discover instance UUIDs required for other cache operations.Apache 2.0