"Redis MCP server or integration" matching MCP servers:

Enables AI agents to overcome context loops by extracting and packaging code for external AI consultation or automated multi-agent collaboration, with optional ChatGPT Desktop integration.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

Enables integration of local LLM capabilities with MCP-compatible clients like Claude Desktop, Continue.dev, and Cline. Provides tools for processing text prompts through local language models using a customizable inference function.

An integration server that enables AI assistants like Claude or Cursor to access and interact with strateegia projects through the strateegia API.

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 approvals from a mobile device.

A server that integrates trained Random Forest models with Bee Framework, enabling ReAct interactivity for AI tools and agents.

A server built on mcp-framework that enables integration with Claude Desktop through the Model Context Protocol.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

The Wanaku MCP Router stands between autonomous AI agents and your enterprise systems. Wanaku leverages proven integration technology, like Apache Camel, to set up and manage hundreds or thousands of integrations.

Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.

Enables Codex Desktop or CLI to delegate tasks to an already running DeepSeek Harness Desktop over an authenticated local socket, reusing that Desktop's model configuration, Skills and allowed tools without a separate API key or runtime. Each delegated session runs in its own isolated directory or Git worktree so Codex can review results before integration.

AI-native static site generator with built-in MCP server and Claude Code integration

Enables autonomous agent-to-agent communication between Claude Code instances using Redis Streams, with Discord and web UI for monitoring and intervention.

Enables AI agents to control Windows and web applications through a three-layer hybrid execution engine that selects system/CLI, structural UI/DOM, or pure vision automation as needed, with live cursor tracking and native Arabic keyboard input.

Enables Claude Code, Cursor, and Codex users to orchestrate plan/build/review workflows across host or CLI models with a spec gate, tool vetting, hard per-run and per-day cost/token limits, safe defaults, and clear logs.

A bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.

Enables MCP clients and LLM agents to fetch pull-request diffs, map changed files to tests, run affected tests in a sandboxed workspace, and post review comments or labels to GitHub, with dry-run and fixture demo modes.

An LLM-native decision tracking system that captures unexpected engineering outcomes as 'pressure events' to build a persistent learning foundation. It enables AI assistants to manage cases, log surprises, and promote recurring insights into global or project-specific knowledge bases.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Clean-room MCP and OpenTTD GameScript integration for deterministic transport planning and route commissioning.

Provides local, read-only recommendations for reasoning effort, retry or escalation guidance, and integration boundaries, enabling compatible desktop apps to suggest effort levels without modifying the active conversation.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

MCP server that lets Codex supervise Claude Code or DeepSeek Harness as workers in isolated Git worktrees, with a bridge_run/bridge_respond/bridge_apply workflow for task delegation and safe cherry-pick integration.

Enables LLM clients to analyze markets, research and optimize options strategies, and execute defined-risk vertical spreads on Interactive Brokers (paper-first) using an Opening Range Breakout signal across trading sessions.

Enables building and running MCP servers from a single executable, with shared daemons, concurrency controls, retries, caching, security, and OpenAPI integration.

A local MCP server that lets Hermes supervise Claude Code, delegating focused coding, research, or review tasks to the Claude Code CLI and managing worker sessions, background jobs, cancellations, and read-only reviews.

A Redis-backed MCP server that enables multiple AI agents to communicate, coordinate, and collaborate while working on parallel development tasks, preventing conflicts in shared codebases.

Enables building production-grade RAG systems with agentic reasoning, hybrid retrieval, and MCP protocol integration for use with Claude Desktop.

Local-first MCP Work Model for coding agents: retrieves scored memory, records commitments, and credits outcomes from tests, reviews, replies, or owner approval. Public repo includes Apache-2.0 integration glue; the local engine binary is proprietary.

A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.

Enables MCP clients to coordinate short-lived Paperclip batch agents through durable task queues, bounded Q&A, verified artifact snapshots, and explicit review boundaries, with optional integration for shared task metadata.

Provides OAuth-based MCP integration and client-side tooling for connecting agents to a remote service, with CLI and plugin support.

Provides a messaging multiplexer for agents using Redis streams, allowing Claude Code to send, receive, and ping other agents through MCP tools.

Enables large language models to interact with ROS robots seamlessly, allowing natural language control, real-time sensor monitoring, and autonomous task execution without modifying existing robot code.

A tool server that processes mathematical expressions via Multi-Chain Protocol (MCP), allowing LLMs to solve math problems through tool integration.

MCP of MCPs. Automatic discovery and configure MCP servers on your local machine. Integration with Claude and Cursor.

Transforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.

Lets a coding agent hand a plain-language app idea to a hosted AI software team that shapes, designs, builds, tests and deploys it, returning a one-time link into the full build workspace. Also lists your apps with their stage, pending approvals and live addresses after a standard OAuth sign-in.