Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) Server is an implementation that allows AI models to access and interact with external data sources and tools. In this case, it manages Confluence wiki pages.

Question 2

What can I do with the MCP Server for Confluence?

Accepted Answer

You can automate creating, updating, deleting, and searching Confluence wiki pages programmatically. It helps streamline knowledge management workflows.

Question 3

What are the key technologies used to build this MCP Server?

Accepted Answer

The server is built using Python 3.10+, FastAPI, MCP SDK, Requests (for Confluence API interaction), and ContextVars (for session management).

Question 4

How does the server automatically select the correct Confluence knowledge base?

Accepted Answer

The server infers the knowledge base (e.g., `alm`, `wpb`) based on keywords in the user query. For example, queries mentioning `gsna` or `global` will target the `alm` knowledge base.

Question 5

What headers are required when making requests to the server?

Accepted Answer

You need to provide `user_name`, `alm_confluence_base_url`, `alm_confluence_api_token`, and optionally `wpb_confluence_base_url` and `wpb_confluence_api_token`.

Question 6

Can I run this server using Docker?

Accepted Answer

Yes, the project includes a Dockerfile for containerizing the server, making deployment easier.

Question 7

What kind of license does this MCP Server have?

Accepted Answer

This MCP Server is released under the MIT License.

Question 8

How does this MCP Server integrate with the UBOS platform?

Accepted Answer

The MCP Server complements the UBOS platform by providing a seamless way to incorporate Confluence knowledge into broader AI agent strategies, enhancing the platform's ability to connect with enterprise data.

Question 9

What if I don't provide the right headers for authentication?

Accepted Answer

If headers are missing or invalid, the server will return an HTTP 400 error.

Question 10

Is there any way to manually specify the wiki type?

Accepted Answer

Yes, you can manually specify the `wiki_type` in the request input if needed.

Question 11

Where can I find the API documentation?

Accepted Answer

After starting the server, you can visit [http://localhost:9999/docs](http://localhost:9999/docs) for OpenAPI docs (Swagger UI) or [http://localhost:9999/redoc](http://localhost:9999/redoc) for ReDoc docs.

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