"A tool for managing or utilizing cache" matching MCP servers:

Semantic caching MCP server for AI agent tool calls, providing exact and similarity-based cache lookup, store, invalidation, and metrics via MCP tools.

Enables Claude to act as the memory and reasoning layer for nutrition tracking, letting users log meals from label photos or descriptions, save foods, recipes, meal-prep containers, and restaurant orders, record weigh-ins, and query targets, progress, and projections as tool calls. All writes are previewed with dry runs, checked for plausibility, and reversible.

Enables an MCP broker to store, scan, retrieve, update, and delete TTL-bound values addressed by UNS id, using shared memory or Redis stores and per-id broker access checks.

Exposes a protected, stateless MCP endpoint over a Cloudflare-hosted camera pipeline, letting agents list active devices and pull hour- or minute-level JPEG contact sheets for any time window. Agents can also enumerate exact capture timestamps, compare 2–10 chosen frames in a single derived image, fetch unmodified original frames, and generate temporary download links.

MCP server for diagnosing Apollo InMemoryCache normalization defects, providing cache analysis and repair planning tools for React Native apps.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

A persistent, tree-sitter-backed code knowledge cache MCP server that reduces token usage by storing parsed structure and enabling fast symbol lookup, inheritance graph, call graph, and semantic search.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

An MCP server that provides cached, refreshable, and structured Figma context for AI coding assistants, reducing API calls and latency by storing node responses locally.

Enables converting documents between formats over MCP: any supported input (docx, odt, xlsx, ods, pptx, odp, pdf) to structured Markdown, Markdown to docx, odt or pdf, direct cross-format pairs, and Markdown to sanitised HTML. Fidelity losses are reported rather than failing the conversion.

Analyzes, generates, simulates, and optimizes caching strategies across HTTP, CDN, and browser layers for AI agents.

MCP proxy server with semantic tool search for LLM coding agents. It reduces context window usage by activating only relevant tools based on user queries.

Audits MCP tool descriptions for quality and reliability, scoring them 0-100, detecting smells, and providing rewritten versions for better agent accuracy.

Central registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.

An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.