"business central" matching MCP servers:

Persistent memory for AI agents. Store, recall, and share knowledge across sessions with five MCP tools: remember, recall, context, forget, and share. Includes semantic search and agent/user/org scoping.

Provides deterministic business-day calculations for AI agents, correctly handling country-specific weekends and public holidays.

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

Enables AI agents to request human decisions and send notifications through chat platforms like Slack and WhatsApp, with ephemeral in-memory pending requests and no central backend.

A centralized MCP hub for managing multiple coding agents across projects, enabling parallel, non-blocking dispatch and orchestration from any MCP-capable client.

Enables AI agents to access a collection of specialized agent instructions on demand, covering categories like tech, business, growth, and product.

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

Enables running and monitoring 19 agentic business use-case engines with MCP orchestration, memory evolution, and approval gates.

Enables AI agents to publish themselves, discover each other, and establish authenticated encrypted connections without central infrastructure, using a decentralized agent-to-agent networking protocol.

Lets any MCP client chat with a mintbot agent and view or change every mintbot setting the web panel offers, running locally on the agent's own VPS without a central server.

An MCP central server that lets multiple AI agents (e.g., Claude Code, kimi-code) exchange private messages, shared channel broadcasts, and unified message streams via MCP tools, with SQLite persistence and per-connection identity binding.

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

A lightweight server that enables multi-agent orchestration by allowing agents to communicate through direct messages and named channels. It provides tools for agents to discover each other, create communication channels, and exchange messages via a central broker.

Enables agents to classify and prioritize tickets, emails, and logs, apply auditable business rules, and trigger actions safely with dry-run and live-mode safeguards.

Enables MCP apps to manage durable, model-defined goal phases with persistent state, checkpointed progress, and safe resumption after interruptions or lost turns, ensuring elapsed time never implies completed business work.

Enables an agent to find a business by phone number, check availability, book and cancel appointments, and verify business-signed receipts against a sandbox registry and demo shops that run locally over stdio. Every registry record and receipt is signature-checked, and nothing real is booked because the shops live inside the server process.

Turns any business API into a paid AI-agent service, enabling agents to discover, call, and pay per request via x402 on X Layer.

A multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP, exposing specialized domain agents as tools to automate business workflows.

MCP server that lets AI agents execute structured business processes by exposing process steps as tools with a sequenced event bus to prevent skipping steps.

Serves a central playbook hub that provides situational guidance to LLM agents, lets clients list available playbooks, fetch procedural guidance, and apply graph mutations for persistent self-evolution.