Install
openclaw skills install @connie.ai/connieSearch and update Records and Lists, import and export CSVs, run enrichment, and read workspace data in Connie, through Connie's hosted MCP server. Use whenever the user asks about their Connie workspace or wants to read or change Connie data.
openclaw skills install @connie.ai/connieConnie is a CRM and automation workspace: Records and Lists hold the data, Workflows act on it, and the Inbox is where conversations land. This skill connects OpenClaw to Connie's hosted MCP server so the agent works against the user's real workspace, under their own permissions.
It is a thin pass-through. The live server decides what tools exist, what they are called and what they accept — read the catalog rather than working from names remembered from a previous session.
Connie is a remote Streamable HTTP server with OAuth, and OpenClaw speaks both natively. There is nothing to install and no API key to paste.
openclaw mcp set connie '{"url":"https://mcp.connie.ai","transport":"streamable-http","auth":"oauth","oauth":{"scope":"mcp:full"}}'
openclaw mcp login connie
login opens a browser and returns through a local callback. Approve access to
the workspace the work should happen in — that choice, not anything in this
skill, is what the tools can reach.
To check the connection before relying on it:
openclaw mcp doctor connie --probe
If tools do not appear, restart the OpenClaw session so the catalog reloads.
Once registered, Connie's tools are ordinary OpenClaw tools. Call them directly; there is no wrapper command and no separate config file to pass.
Work from the live catalog. The server advertises the tools this workspace and this grant can actually reach, which is narrower than the product as a whole: some tools are never exposed over MCP at all, and others are hidden from search while staying callable if named. A tool that is not in the catalog is not available in this session, whatever the documentation says.
Most of these carry a workspace's live customer data. Treat the tool names as descriptive, not exhaustive, and re-read the catalog when in doubt.
Connie's MCP boundary decides per call rather than trusting the caller, and it is deliberately strict because the agent is running unattended:
So some calls will come back asking for confirmation instead of a result. That is the server working as intended; surface the request to the user rather than retrying around it.
Two things this skill cannot decide for the user, which the agent should:
The OAuth grant sets the ceiling: the agent acts as the account that authorized it and can do no more than that person can do in Connie's UI.
https://mcp.connie.ai over HTTPS. Do not route unrelated secrets,
credentials from other systems, or personal data that has nothing to do with
the Connie task through tool arguments.openclaw mcp doctor connie --probe reports the transport and auth state.openclaw mcp login connie re-runs authorization; use it after a password
change or a revoked grant.Setup guide and the current tool list: https://connie.ai/docs/mcp