✨ run MCP on Databricks Apps #25
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@smurching I suggest accepting this PR instead of #22 since it's proven to work and provides simpler integration pattern :) |
README.md
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| This server is currently under construction. It is not yet usable, but contributions are welcome! | |||
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| ## Deploying the MCP server on Databricks Apps | |||
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@renardeinside sorry I totally missed this, thanks for doing this! cc @aravind-segu. Would you mind moving this up into the Unity Catalog MCP server README section? Since the devtools server doesn't include any code just yet
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Let's keep everything in one readme. I'll later refactor it into proper docs via docusaurus, same as for DQX. Having separate files is quite inconvenient.
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Oh I meant just move this section up - currently it looks like it's under or associated with
Developer Tools Server
This server is currently under construction. It is not yet usable, but contributions are welcome!
But it only works for the UC server
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Definitely +1 to a single README
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I can help make that edit
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| from mcp.server import NotificationOptions, Server | |||
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Nice, any reason not to just replace the existing stdio-based server implementation with this one? We can do it in a follow-up PR, but just curious
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Eventually seems like we'd just have one streamable-HTTP-based implementation (once more clients support streamable HTTP)
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Also, depending on how much work it is, it's actually now possible to use streamable HTTP to write the server, as of four days ago! https://github.com/modelcontextprotocol/python-sdk/releases/tag/v1.8.0
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I'll update my version then, should work easily.
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Done, updated!
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| bundle: | |||
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We should move this into the UC server directory, to enable separately deploying individual servers, I can help with that
| message: JSONRPCMessage | ||
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| class InMemoryEventStore(EventStore): |
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Curious if we actually need any in-memory event storage for our server, it is stateless right?
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I think we can keep memory for now, and remove it in future if needed. Apps have 6GB ram, ponentially we can also save into temp db
Implementation for MCP server on Databricks apps.