Macaly Cloud
Give your AI agent a git repo, cloud sandbox, database and hosting so its code runs.

618 MCP servers with 12,363+ tools, ready to connect to Claude, ChatGPT, Cursor and Agentman agents over the Model Context Protocol.
65 of 618 connectors in Developer ToolsShow all
Give your AI agent a git repo, cloud sandbox, database and hosting so its code runs.
Deploy, redeploy, stop and monitor MCP servers on Manufact Cloud.
Give your AI agent persistent memory across sessions.
Microsoft's own docs server for Azure, .NET, Windows and M365.
Edit documentation pages, restructure navigation and change site config.
Summarize boards, build retros and generate diagrams.
Manage mittwald managed hosting: projects, apps, containers, databases, DNS, mail, cronjobs and backups.
Query MongoDB collections and manage Atlas infrastructure.
Create projects, trigger deploys and manage env vars on Netlify.
Read incidents, on-call schedules and services, and create incidents when write access is granted.
AI-powered research and web search
Give an AI agent live web search and page extraction.
TigerData's pg-aiguide gives a coding agent version-accurate PostgreSQL, TimescaleDB and PostGIS guidance.
Run a security-awareness platform from your assistant: recipients, simulation templates, SSO, admins.
Read Pi Security findings, threat models and Code Gatekeeper reviews, and submit design reviews or reports back.
Query, inspect and write to PlanetScale MySQL and Postgres databases.
Run HogQL, build dashboards, ship feature flags and triage errors.
Manage Postman collections, specs, environments and mocks, and run a collection against live APIs.
Create, query and delete Prisma Postgres databases from an AI agent.
Create endpoints, set rate limits, manage security rules and read billing across 80+ chains.
Deploy, redeploy and debug apps on Railway's usage-billed cloud.
Create services, provision Postgres and Key Value stores, trigger deploys, query databases and read logs.
Build, update and publish Replit apps from your AI assistant.
Manage computer vision datasets, train models, run inference and build Workflows.
Product names and logos belong to their owners. Each connector is built by its own developer, and Agentman is not affiliated with them. The ones Agentman builds and runs are marked “Built and run by Agentman”.
A server that exposes a tool’s capabilities over the Model Context Protocol, so an AI agent can call them directly. It is the standard way to let an assistant act in a system rather than just describe it.
Each server page carries its connection URL, which works in any MCP-compatible client. In Agentman Studio connecting is one click and there is no config file to edit.
Most are not. Each is built by its own developer, and each page names them and links to their documentation. The few Agentman builds and runs are marked “Built and run by Agentman”. Every page lists what the server exposes and cites the sources its factual claims come from.
Each page lists the tools the server exposes. Where we could read the server directly, every tool carries the safety label its vendor gave it: read-only, acts, or destructive. Each page also has a Limits section; read both before connecting anything to a production system.
Connect any of these once and your agents call their tools on their own: on a schedule, in a workflow, with nobody at the keyboard.