CloudCrane MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CloudCrane MCPlist my datasets, check catalog readiness, and show latest run receipts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
CloudCrane MCP
Connect your AI agent to CloudCrane over MCP.
CloudCrane turns a messy catalog into data an agent can be trusted with. Rules run before any model, the model may only answer from values you allowed, and every value carries a receipt saying how it was decided. Safety exclusions are enforced in the database query, so a record whose value is unknown is left out rather than assumed safe.
There are two MCP endpoints. Both speak Streamable HTTP (stateless, no SSE stream).
Endpoint | Signs in with | What it opens |
| Your CloudCrane account (OAuth), or a build key | Your workspace, for your own agent while you build |
| A tool key | One deployed tool, for your end users' agents |
The workspace MCP
Let your own agent read what you are building and, if you allow it, help build it.
Connect with OAuth
In an MCP client that supports OAuth sign-in, add the URL with no key:
https://cloudcrane.ai/api/build/mcpThe client opens a CloudCrane page where a workspace owner picks the workspace and what the agent may do, then signs you in. Or install it from Smithery.
Tested with Cursor, Cline and Smithery. Exact settings for each are
in llms-install.md, which an agent can follow to set it up.
Cursor (~/.cursor/mcp.json):
{ "mcpServers": { "cloudcrane": { "url": "https://cloudcrane.ai/api/build/mcp" } } }Cline (cline_mcp_settings.json):
{ "mcpServers": { "cloudcrane": { "transport": { "type": "streamableHttp", "url": "https://cloudcrane.ai/api/build/mcp" } } } }The page shows where it will send you back before anything else, because an app's name is only what it calls itself. It starts on read only. Each app you approve shows up in the dashboard under Developers, where you can revoke it.
Or with a build key
For a client without OAuth, an owner makes a build key under Developers and sends it as a header:
claude mcp add --transport http cloudcrane https://cloudcrane.ai/api/build/mcp \
--header "Authorization: Bearer $CLOUDCRANE_BUILD_KEY"What it can do
Every connection reads: list_datasets, get_dataset, list_contracts,
get_readiness, list_review_items, get_receipts, list_value_sets, get_run.
They run inside a read-only database transaction.
A connection allowed to build also gets: create_dataset, create_field,
update_field, create_value_set, import_value_set_version, start_run,
publish_release. Each goes through the same checks as the dashboard and is
recorded as made by that connection.
What no connection can do: publish past the accuracy gate, decide a review item, edit a stored value, withhold a record, delete anything, or remove a value from a safety field. Those stay with a person, because a receipt names who decided.
Imported record contents stay hidden unless the owner turns them on. The workspace MCP is included in every CloudCrane plan, Free too.
Full reference: cloudcrane.ai/docs/build-mcp.
Related MCP server: OpenTool
A deployed tool
Each tool you deploy is its own MCP server. Your agent sees search_<tool> and
get_<tool>, plus find_values when the tool has value set fields. Their input
schema is generated from your contracts, so the agent picks values from an enum
of your list and cannot ask for one you never defined.
Claude Code
claude mcp add --transport http catalog https://cloudcrane.ai/api/mcp/catalog \
--header "Authorization: Bearer $CLOUDCRANE_TOOL_KEY"Claude Desktop, Cursor, Windsurf
{
"mcpServers": {
"catalog": {
"url": "https://cloudcrane.ai/api/mcp/catalog",
"headers": { "Authorization": "Bearer cc_live_..." }
}
}
}Some clients call the block servers instead of mcpServers, and some want "type": "http" next to the url.
n8n: MCP Client Tool node, transport HTTP Streamable, Bearer authentication.
LangChain:
MultiServerMCPClientwith transportstreamable_httpand a headers dict.OpenAI Agents SDK:
MCPServerStreamableHttpwith the url and headers.
The same tool also answers plain REST at POST /api/v1/tools/<tool>/search.
Full reference: cloudcrane.ai/docs/deploy.
Things that look like a broken server
406: MCP requires
Accept: application/json, text/event-streamon every POST, even though these endpoints never send a stream.405 on GET: the endpoints are stateless and offer no SSE stream, so only POST is allowed. A client that silently falls back to SSE connects but lists no tools.
403 on the workspace MCP: it opens a whole workspace, so a request from a browser (any request with an
Originheader) is refused. Call it from a server or a desktop client.
Links
Playground: the pipeline in your browser, no sign-up
This repository holds documentation and the registry entry (server.json), not
the server's source.
This server cannot be deployed
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