Dock for LangChain
ai.trydock/dock
AI workspace for you, your team, and every agent. Tables, docs (images, 4K video), formulas.
client:LangChain
transport:streamable-http
tools:71
Install Dock in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"dock": {
"transport": "streamable_http",
"url": "https://trydock.ai/api/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- list_workspaces
- get_workspace
- list_rows
- create_row
- get_row
- update_row
- delete_row
- move_rows
- get_doc
- get_workspace_schema
- add_column
- list_workspace_members
- delete_workspace
- update_workspace
- share_workspace
- update_workspace_member
- remove_workspace_member
- update_doc
- validate_doc_markdown
- update_doc_section
- append_doc_section
- get_html
- update_html
- validate_html