Step 1: Download Spexus MCP
Download the archive from the releases page and unpack the binary into a convenient directory such as `/usr/local/bin/`.
| OS | File |
| macOS (Apple Silicon) | rms-ai-darwin-arm64.tar.gz |
| macOS (Intel) | rms-ai-darwin-amd64.tar.gz |
| Linux (x64) | rms-ai-linux-amd64.tar.gz |
| Windows | rms-ai-windows-amd64.zip |
tar -xzf rms-ai-darwin-arm64.tar.gz
mv spexus-mcp /usr/local/bin/spexus-mcp
Step 2: Initialize the client
On first launch, run the initialization and provide the server address `https://app.spexus.ai`, your username, and your password.
/usr/local/bin/spexus-mcp -i
Step 5: Give the agent its first task
Now you can immediately use the connection in real work. Ask the agent: "Create a new epic on the topic of ..." and then describe what you want to build, what result you need, and which context matters.
Create a new epic on the topic of ...
If MCP is configured correctly, the agent can create a new epic directly in Spexus and start refining the requirements in dialogue.