Question 1

What is MCP Server?

Accepted Answer

MCP Server, or Model Context Protocol Server, is a tool designed to unify multiple webhook endpoints into a single configuration, simplifying knowledge base management and querying for AI models and agents.

Question 2

How does MCP Server work?

Accepted Answer

It works by allowing you to register different knowledge base (webhook endpoint) URLs, optionally with a description and API key. You can then query these sources individually or all at once, and the tool aggregates the results for you.

Question 3

What are the prerequisites for using MCP Server?

Accepted Answer

You need Go, Python 3.6+, Anthropic Claude Desktop app (or Cursor or Cline), and UV (Python package manager).

Question 4

Which AI clients are compatible with MCP Server?

Accepted Answer

MCP Server is designed to work seamlessly with Claude, Cursor, and Cline.

Question 5

Can MCP Server be used on Windows?

Accepted Answer

Yes, MCP Server is compatible with Windows. However, `go-sqlite3` requires CGO to be enabled, and you'll need a C compiler installed.

Question 6

How do I configure the endpoints?

Accepted Answer

You need to modify or create a `knowledge_document_sources.json` file with the details of your webhook endpoints.

Question 7

What if I encounter permission issues when running uv?

Accepted Answer

Ensure that uv is added to your PATH or use the full path to the executable.

Question 8

How do I add a new knowledge document source?

Accepted Answer

Use the `add_new_knowledge_document_source` tool, providing the URL, description, and API key (if required).

Question 9

How do I list all registered knowledge sources?

Accepted Answer

Use the `list_knowledge_document_sources` tool to display all registered sources and their details.

Question 10

How do I query a specific knowledge source?

Accepted Answer

Use the `query_knowledge_base` tool, specifying the query and the source IDs.

Question 11

Where can I find example API schemas for knowledge endpoints?

Accepted Answer

Check the `sample_endpoint` folder in the repository for references on supported API schemas.

Question 12

What is the purpose of the `mcp.json` file in Cursor?

Accepted Answer

The `mcp.json` file is used to configure Cursor AI with your MCP settings, including the tool's name, version, description, and available tools.

Question 13

How can I verify if MCP is properly configured in Cursor?

Accepted Answer

Use the command `fastmcp check mcp.json` to check the configuration and `fastmcp list` to list available tools.

Question 14

Can I load custom knowledge sources from a different file than `knowledge_document_sources.json`?

Accepted Answer

Yes, you can specify a custom path in the `DOCUMENT_SOURCES_PATH` environment variable.

Question 15

What is UBOS and how does MCP Server integrate with it?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform designed to bring AI Agents to every business department. The MCP Server can be integrated to help UBOS connect to enterprise data and build custom AI Agents.

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