"Information about CookUnity meal delivery service" matching MCP servers:

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

MCP server for the ai-delivery-kit orchestration engine, exposing loop management and stall intervention tools for delivery coordination.

A Model Context Protocol service that enables agent authentication and integration with TrustGo platform, providing access to real-time data like price, sigma score, and mindshare bubble analytics.

Enables agents to discover and invoke travel recommendations with partner-specific caps and exclusions via MCP JSON-RPC.

A service for managing ESP8266/NodeMCU IoT devices that provides both REST/WebSocket APIs and implements the Model Context Protocol for AI assistant integration.

Dual-interface MCP server that exposes declarative tools and reusable skills via standard MCP protocol and provides a REST API for authoring them.

An interface enabling high-frequency communication between AI tools (like Cursor and Windsurf) and users, allowing for option selection and information gathering through CLI, Web, or PyQt interfaces.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

A professional AI agent system that provides 10+ specialized agents and 25+ MCP tools to support development workflows in Cursor IDE, with dual LLM mode support (built-in and DeepSeek API).

Integrates live Screeps game data into AI development workflows, providing comprehensive tools for room operations, market analysis, and user management. It enables AI agents to monitor game status and interact with the game world through the Model Context Protocol.

Enables AI-powered multi-provider routing and chat through an MCP interface, with smart fallback, persistent sessions, and learning from historical performance.

Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.

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.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.

Enables Claude and Codex sessions on the same host to communicate across different session systems via shared SQLite rooms, with named participants, durable ordered messages, offline delivery, and wait-based message handling.

Enables agents to build, sign, verify, and discover A2A Agent Cards and perform policy-gated delegation with certification checks, mandate issuance, receipt-on-delivery settlement, and a verifiable receipts ledger.

Enables running isolated main and sub agent tasks in networkless Docker capsules with explicit input grants, verified artifact delivery, and independent reviewer oversight via MCP tools.

An MCP server that transforms AI assistants into personal chefs by providing recipe recommendations and meal planning features based on the HowToCook repository.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

Enables durable message passing between Codex project agents with MCP tools and automatic wake-up delivery, storing messages as JSON on disk.

MCP server enabling bidirectional messaging and collaborative development between DeepSeek Harness (DSH) sessions and ChatGPT desktop/Codex CLI sessions, with session ownership management and queued delivery.

Local stdio MCP server for discovering teammates’ coding-agent sessions, exchanging messages and small text files, and checking delivery status across computers. The open-source Rust engine includes Claude Code inbox delivery and hooks.

Enables agents such as ChatGPT to subscribe to events happening behind an MCP server (for example, order.created with filters) and receive them as signed webhooks without the builder implementing delivery itself. Hookdeck Outpost handles filtering, Standard Webhooks signing, retries, and delivery to each subscriber's callback URL.

A production-ready Node.js server that enables decentralized communication between AI agents on the Hedera network, implementing the Model-Context-Protocol architecture with support for multiple Hedera Consensus Service standards.

Sovereign, MIT-licensed MCP server wrapping the fallpair SDK for professional-service workflow tools, enabling discoverable, cryptographically signed operations.

Coordinates parallel coding agents (OpenCode, Claude Code, Codex) as independent processes that message each other, with per-recipient delivery receipts, routing, and quorum decisions. MIT core; npm package meshfleet.