Manage shared AI workspaces with live tables and docs for teams and agents. Dock provides a unified surface for collaboration, data organization, and agent coordination without context switching.
ai.trydock/dock
https://trydock.ai/api/mcp
HTTP
No auth required
How models use it and what it is built for.
Manage shared AI workspaces with live tables and docs for teams and agents. Dock provides a unified surface for collaboration, data organization, and agent coordination without context switching.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for Dock.
Paste any of these into Agent Studio after connecting Dock.
Common questions about connecting and running Dock.
What is Dock and who should use it?
Dock is an AI workspace platform designed for teams and agents to collaborate on shared tables and documents in one live surface. It's built for developers running multiple agents who need centralized data organization and coordination.
How do I connect this MCP server to Dock?
The MCP server connects via HTTP to the hosted endpoint at https://trydock.ai/api/mcp. You'll need to configure authentication credentials (check Dock's documentation for required env vars and API key setup).
Can multiple agents access the same Dock workspace?
Yes—Dock is designed as a shared surface for teams and every agent you run. All connected agents and team members can read and write to the same live tables and docs simultaneously.
What data can I store in Dock tables and docs?
Dock supports structured data in tables (rows, columns, real-time updates) and unstructured content in docs. The exact schema and data types are documented in Dock's API reference; consult the platform docs for detailed specifications.
Is there a cost to use Dock, and what are the limits?
Pricing and usage limits are not specified in the MCP registry metadata. Visit trydock.ai or contact their sales team for current pricing, storage limits, and team collaboration tiers.
Connect Dock to Claude, GPT, Gemini, DeepSeek and 30+ AI models in MCP Agent Studio. Compare answers side-by-side, save reusable agent presets, share runs — all in your browser, no install required.
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