Claude Managed Agents
Create, run, monitor and debug Anthropic's Claude Managed Agents from inside Claude itself.

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
Create, run, monitor and debug Anthropic's Claude Managed Agents from inside Claude itself.
Build and edit Base44 apps from an AI assistant, and query data your app's users submit.
Diagnose failed builds, read job logs, inspect test results and rerun or roll back deployments from your AI assistant.
Give a coding agent Clerk's own auth code — hooks, components, server-side patterns and seven framework quickstarts.
Manage Workers KV, R2, D1 and Hyperdrive from your AI assistant.
Give your coding agent CometChat's chat, voice and video SDK docs plus ten integration recipes.
Up-to-date library docs for coding agents.
Deploy, scale and delete cloud workloads on AWS, GCP and Azure.
Turn a Claude artifact or preview URL into a shareable review link and read pinned feedback.
Build and operate ElevenAgents voice and chat agents: prompts, voices, knowledge bases, branches, tests and triage…
Generate architecture diagrams, ERDs and technical docs from natural language and manage your Eraser workspace.
Live web search and full-page fetching over the open web.
Start EAS builds, run CI/CD workflows and reply to App Store reviews.
Search the live web, a 43-million-paper research index and public GitHub history.
Build, run and publish full-stack apps: write code, provision Postgres, run SQL, deploy live.
Inspect and manage Google Cloud VMs, disks, snapshots and reservations.
Search Apollo's GraphQL docs and inspect your own graph's launches, lint results and traffic metrics.
Read and change GrowthBook feature flags and experiments from an AI agent.
Run pipelines, toggle flags, trace failed deploys and read cloud costs.
Search models, datasets, papers and docs on the Hugging Face Hub, and call Gradio Spaces.
Query your IcePanel architecture model and decision records from an AI agent.
Query incidents, alerts, on-call schedules and telemetry, and declare or update incidents.
Load a browser bug report — console, network, events, video — into your coding agent.
Create, build, inspect and deploy Lovable apps from your AI assistant.
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.