Question 1

What is the MCP Status Observer?

Accepted Answer

The MCP Status Observer is an integration that allows Claude Desktop to monitor and query the operational status of major digital platforms using the Model Context Protocol (MCP).

Question 2

What platforms does the MCP Status Observer support?

Accepted Answer

The MCP Status Observer supports a wide range of platforms, including GitHub, Slack, Discord, Cloudflare, and more. See the documentation for a complete list.

Question 3

How do I install the MCP Status Observer?

Accepted Answer

You can install the MCP Status Observer by cloning the repository, installing dependencies, building the project, and configuring Claude Desktop to use the MCP server.

Question 4

How do I use the MCP Status Observer?

Accepted Answer

Once installed, you can use the `status` command in Claude Desktop to query the status of different platforms. For example, `status --github` will show the status of GitHub.

Question 5

I'm getting a 'Server disconnected' error. What should I do?

Accepted Answer

First, verify that the server is running by manually running `node build/index.js` in the project directory. If it runs successfully, check your Claude Desktop configuration file to ensure the path to the `index.js` file is correct.

Question 6

The tools are not appearing in Claude. What could be the issue?

Accepted Answer

Make sure you've restarted Claude Desktop after configuration. Check the Claude Desktop logs for any MCP communication errors. Verify that the MCP server process is running.

Question 7

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agent to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Question 8

What is MCP?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

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