Каталог MCP

RedisNexus is an AI-powered operations intelligence platform that provides 16 enterprise-grade tools for managing Redis data, health monitoring, and cache strat

An intelligent memory MCP server that provides AI applications with semantic search, entity extraction, and knowledge graph capabilities using local Redis cachi

A FastAPI-based MCP server orchestrated with Docker Compose, integrating Redis caching and TimescaleDB for time-series data management.

Interact with Redis key-value stores.

BetterDB gives Claude Code, Cursor, Windsurf, and other MCP clients deep observability into Valkey and Redis instances. It implements 22 MCP tools including get

The Redis official MCP Server offers an interface to manage and search data in Redis.

Manage your Redis Cloud resources effortlessly using natural language. Create databases, monitor subscriptions, and configure cloud deployments with simple comm

Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics

Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS t

Enables Claude Desktop to interact with MySQL, PostgreSQL, and Redis databases using natural language for data querying and schema analysis. It provides a secur

Knowledge infrastructure SDK for AI agents - universal references, multi-tier caching, storage abstraction, and sync

Lets AI agents like Claude capture website screenshots, check cache status, and monitor usage.

Endor lets your AI agents run services like MariaDB, Postgres, Redis, Memcached, Alpine, or Valkey in isolated sandboxes. Get pre-configured applications that b

local-fetch — MCP server via Smithery

Shared research cache for AI agents. Caches web research across sessions and users - hit means instant answer from verified sources, miss means your research sa

Enables AI to safely view and operate Redis databases with read-only mode by default and support for key operations.

Central Bank of Russia (CBR) data for AI agents — daily and historical currency rates, key rate, inflation, and macro statistics. Five typed MCP tools, in-memor

Local-first cross-agent memory MCP. 6-layer structured brain (goal/context/emotion/impl/caveat/learning) with token-saving file diff cache (86% measured savings

A lightweight MCP server that connects a local AI model (Ollama) with custom CRUD tools for an in-memory database, enabling natural language database management

Exposes the Akamai Reporting API v2 to enable traffic analysis, cache offload measurement, and error rate monitoring via natural language. It provides advanced

Central Bank of Russia (ЦБ РФ) data — currency exchange rates (daily and historical), key interest rate, inflation, and aggregated macro statistics. Five typed

A production-ready MCP server for macOS that provides async, cache-backed access and background queued writes to Apple Notes. It enables seamless integration fo

Enables AI assistants to access real-time legislative data from the Korean National Assembly including members, bills, votes, and schedules through 276 Open API

A practice project that enables users to create and list orders within an in-memory system using MCP tools. It is designed to demonstrate how to integrate the M

Provides a serverless implementation of the Model Context Protocol for registering and managing tools, enabling in-memory client-server connections and credenti

An advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad s

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

A Python MCP server that allows your agent to outsource HTML generation and rendering, storing artifacts in memory and supporting both full HTML and resource UR

Enables AI assistants to manage Cloudflare infrastructure including DNS records, cache purging, SSL settings, Workers, and analytics through the Cloudflare API.

A modular and extensible MCP server for managing synchronous and asynchronous tasks, leveraging Docker, BullMQ, and Redis.

Valkey-first observability with Redis compatibility. Query real-time metrics, analyze slow commands, detect hot keys, and investigate performance issues directl

Persistent AI memory brain for Claude Code, Cursor, Copilot, Windsurf, Cline & Zed. sessionstart() briefs your AI on last session, lessons, and open tasks in on

in-memoria — MCP server via Smithery

Enables read-only access to NORA dashboard data from Upstash Redis, covering OKRs, initiatives, KPIs, and financial summaries. It allows users to query and anal

A production-ready MCP server that integrates OpenAI with FastAPI and Redis to provide streaming agentic chat capabilities and session memory. It features built

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first M

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It inclu

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternat

Token-budgeted web fetch for AI agents. Auto-routes between Trafilatura, Jina Reader, FireCrawl, and pypdf based on URL pattern. estimatetokens before fetchurl,

Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a

Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS health, DNS timing, and r

This MCP server imports HR CSV data into an in-memory SQLite database to enable structured querying and metadata retrieval. It provides tools for executing read

Persistent cognitive memory for AI agents. Sub-millisecond recall, fully offline, encrypted. 8 tools: recall, recall_structured, store, store_code, store_decisi

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform

Enables MCP agents to request human confirmation for actions via a Telegram bot. It uses a Vercel-hosted proxy and Redis to facilitate secure, real-time YES/NO

Manage Cloudflare Workers, KV, R2, Pages, DNS, and cache from your IDE.

An intelligent MySQL MCP Server with expert data analytics capabilities and comprehensive caching. Goes beyond basic querying to provide in-depth database analy

Reliable web fetching MCP server with built-in retry logic, circuit breaker patterns, caching, and anti-bot bypass. Fetches URLs as raw HTML or clean markdown o

YourMemory is an MCP server that uses biological forgetting curves to automatically prune stale data and reinforce useful context for Claude agents. It beats Me

Provides file caching and diff tracking for AI coding agents, reducing token usage by returning changes or confirming no changes instead of full file contents o

Enables AI agents to fetch web pages with token estimation, caching, and routing to appropriate fetchers (Trafilatura, Jina, FireCrawl, pypdf) for clean Markdow

Shared research cache across AI agents. Hit → instant answer from verified sources. Miss → your research saves the next dev's tokens. npx wellread, free.

Fetches metadata and README documentation for NPM packages, with local caching via SQLite for improved performance.

Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ smart tools for API optimization, code analysis, and real-time mon

MCP server for accessing Uruguay's IMPO open data API with SQLite caching. Provides tools to retrieve legal norms, search regulations, and access schema documen

Two-tier memory with hot cache (instant injection) and cold semantic search. Auto-promotes frequently-used patterns, extracts knowledge from Claude outputs, and

Enables semantic search over TwinCAT 3 documentation using natural language queries, with intelligent caching for fast results.

Multiplexer for MCP tool calls — parallel execution, batching, caching, and pipelining for any MCP server

A toolkit of 256 MCP servers for SRE incident diagnosis with Claude. One agent per tech (Postgres, Kafka, Istio, Kubernetes, Prometheus, MongoDB, Redis, Cassand

Universal MCP server that transforms any CLI tool into an MCP server. Works with any CLI that has --help output, supports caching for performance.