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AgentOS by Devcore

Shared MCP workspace for coordinating AI agents and teams around business knowledge, tools, access rules, and working methods.

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Install AgentOS by Devcore

Pick your client, then add it in one click or paste the config.

Streamable HTTP (Remote)
Server URL
https://tryagentos.net/api/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Hosted endpointLive · 6h agoLive Remote EndpointOur automated health check connected to this remote MCP endpoint successfully.Last checked 6h ago · Nov 13, 2026, 18:30 UTC

Clients with native remote MCP support can connect directly to this URL.

Remote endpoint
https://tryagentos.net/api/mcp

Overview

AgentOS by Devcore provides a shared AI workspace where business knowledge, connected tools, access rules, and working methods are brought together. AI agents and teams use shared context to coordinate tasks and complete work through MCP. Reach for it when multiple agents or people need a common operational context rather than isolated agent sessions.

Use cases

  • Coordinate AI agents around shared business knowledge
  • Connect workplace tools to a common agent context
  • Apply access rules while organizing agent work
  • Standardize working methods across teams and agents

Key features

  • Shared AI workspace
  • Business knowledge context
  • Connected tools
  • Access rules
  • Shared working methods
  • MCP-based coordination

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked

Recent health check succeeded.

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

MaintenanceActively maintainedStatus declared by the project or listing owner.
Directory activity3 viewsConfig copies, upvotes, and views on AllMCPs.

How AgentOS by Devcore works

What AgentOS by Devcore does

AgentOS by Devcore organizes the context that AI agents and teams use to carry out business work. Its workspace model brings several parts of an organization’s operating environment into one place: business knowledge, tools, access rules, and established ways of working.

The focus is coordination. Instead of treating each agent interaction as a separate session, AgentOS gives agents and teams shared context for working toward the same outcomes. That makes it relevant to workplace and productivity workflows where the information, tools, and rules surrounding a task matter as much as the task itself.

How it works

Agents and teams interact with the workspace through the Model Context Protocol. MCP provides the connection layer through which shared context can be used while work is coordinated and completed. The workspace combines organizational knowledge with the tools and working methods that agents need to act in context.

Access rules are part of the workspace model alongside knowledge and tools. This allows the operating context for agent work to include both what is available and the rules associated with access. The result is a shared environment for coordinating work rather than a standalone knowledge store or an isolated tool endpoint.

AgentOS is a fit for teams that want AI agents to work from common business context. It is especially relevant when several participants need to coordinate around the same knowledge, tools, and procedures through MCP.

Tools and capabilities

  • Provides a shared AI workspace for agents and teams.
  • Connects business knowledge with agent work.
  • Brings tools into a common working context.
  • Includes access rules as part of that context.
  • Represents working methods for coordinated execution.
  • Supports coordination and work completion through MCP.

The available capability is centered on shared context and coordination. Specific individual tools, external service integrations, and client-specific commands are not part of the described interface, so the server should be evaluated based on its workspace role rather than assumed tool coverage.

Read the full README

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Frequently Asked Questions about AgentOS by Devcore

AgentOS by Devcore is an MCP server that connects AI agents and teams to a shared workspace containing business knowledge, tools, access rules, and working methods. Its main capabilities are providing shared context, coordinating work, and helping agents and teams complete tasks together through the Model Context Protocol.

AgentOS by Devcore connects business knowledge, tools, access rules, and working methods in a shared AI workspace. Agents and teams use that combined context to coordinate and complete work through MCP.

Use AgentOS by Devcore when multiple AI agents or team members need shared business context for coordinated work. It is suited to workflows involving organizational knowledge, tools, access rules, and consistent working methods.

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