Om MCP Quickstart
Connect your MCP client to the hosted Om MCP with OAuth and run your first workflow.
5-step setup
1
Use an OAuth-capable client
Use a client that supports remote MCP OAuth for hosted HTTP servers.
Codex or Claude Code2
Use the hosted MCP URL
Point your MCP client at the hosted Om MCP endpoint.
https://agents.omtx.ai/mcp3
Add client config
Add the hosted server to your client, then complete the OAuth login flow.
4
Restart your MCP client
MCP clients need a restart before newly added servers appear in the tool list.
5
Run a smoke test
Ask for `om_status`, `pricing_get`, or `datasets_catalog` before moving into deeper workflows.
Remote connection details
| Field | Value | Why it matters |
|---|---|---|
| Server URL | https://agents.omtx.ai/mcp | This is the hosted MCP endpoint clients connect to. |
| Codex auth | codex mcp login omtx | Codex can complete remote MCP OAuth after you add the server. |
| Claude Code auth | /mcp | Claude Code completes remote MCP OAuth from the in-app MCP menu after the server is added. |
No local repo setup required
Om MCP is a hosted remote MCP server. You do not need the Om repo, a local Python process, or a manual MCP launcher to use it. You only need the hosted MCP URL and a client that supports OAuth for remote MCP.
codex mcp addBash
codex mcp add omtx --url https://agents.omtx.ai/mcp
codex mcp login omtxSmoke-test prompts
Run om_status and tell me if the Om MCP is healthy.Run pricing_get and summarize the pricing manifest.Run datasets_catalog and show me the top-level dataset families I can access.Run diligence_search for KRAS and return the highest-signal findings.