MCP
The Ollive MCP server.
Your agents’ record, in conversation.
Connect Ollive to Claude, Cursor, Codex or Gemini CLI, and ask about your agents in your own words: which rules they broke, why, how often, and what was said. Your assistant finds the answer in your Ollive workspace and brings the evidence with it.
- Server URL
https://mcp.ollive.ai/mcp- Sign-in method
- OAuth, with your Ollive login
- Transport
- Streamable HTTP
Ask in your own words
There’s no query language to learn and no dashboard to dig through. Ask the way you’d ask a colleague, then follow up.
- Ask
How did my agents do this week?
- Ask
Which rules does the appointment booking agent break most often?
- Ask
Show me the conversations behind that violation.
- Ask
Why did conversation call-2026-10-14-0912 fail?
- Ask
Are high-severity violations going down this month?
- Ask
Send these test conversations to Ollive and tell me what fails.
How it works
- Add Ollive to your app
Give Claude, Cursor, Codex or Gemini CLI the server URL. There’s no API key to create or paste.
- Sign in and allow
Your browser opens Ollive, and you sign in with OAuth. Choose the workspace, and select Allow.
Then just ask. Your assistant picks the Ollive tools it needs, reads your workspace and answers, with the evidence.
Choose your app
Claude
Add Ollive as a connector in Claude, on the web and in the desktop app.
Setup guideClaude Code
Add Ollive to Claude Code with one command.
Setup guideCursor
Add Ollive to Cursor and use it in Agent chat.
Setup guideCodex
Add Ollive to Codex, in the CLI, the IDE extension and the app.
Setup guideGemini CLI
Add Ollive to Gemini CLI from your terminal.
Setup guideOther apps that support remote MCP servers with sign-in connect the same way: give them the server URL above.
What your assistant can do
Ollive gives your assistant seven tools. Six of them only read. The seventh sends conversations to be checked, and only when you ask it to. See all the tools.
Prefer to work in code?
The tools return the same results as the Ollive API. Use the API to build Ollive into your own systems, and MCP to ask questions as they come up.