WorkbenchLM
Chat with your datapack in the Meko portal without installing an MCP client
WorkbenchLM is Meko's built-in chat experience in the Meko portal. Use it to try memory, knowledge, and traces without configuring Cursor, Claude, or another external MCP client.
When to use WorkbenchLM
- First session: Onboarding offers Try the WorkbenchLM so you can explore a sample knowledge base and see memories form in real time.
- Quick experiments: Upload a document, ask questions, and inspect traces and memories from the same UI.
- No local install: WorkbenchLM runs entirely in the portal; you do not need to set up an MCP server with an MCP config file or run the installer.
Use WorkbenchLM
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Sign in to your account.
The first time you sign in, Meko displays the Welcome to Meko page.
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Click Try the WorkbenchLM.
If it is not your first time signing in, do the following:
- Sign in to the Meko portal.
- Select WorkbenchLM in the left sidebar.
What you can do
- Pick a datapack: Choose any datapack you own or that was shared with you as maintainer or contributor (viewer-only shares cannot use chat).
- Knowledge: Upload or manage knowledge-base documents in the left panel. Chat is available after a document has finished indexing.
- Chat: Send messages in the center panel. Meko routes requests through the inference gateway and MCP tools on your behalf.
- Live observation: The right panel shows memories, shared knowledge, and conversations, updated as you chat.
- Traces: Open execution traces for individual messages (click View decision trace), similar to the datapack Conversations viewer.
WorkbenchLM vs Choose your tool (via external MCP clients)
| WorkbenchLM | Choose your tool | |
|---|---|---|
| Setup | None in the portal | Shared MCP URL (https://mcp.mekodata.ai/mcp) + user API key |
| Authentication | Your portal session | Long-lived mko_tkn_… key from Settings>API Keys |
| Best for | Trying Meko, demos, light Q&A | IDE-integrated development |
External clients authenticate with an API key. WorkbenchLM uses your signed-in session and server-side credentials for the selected datapack — you don't need to provide an API key to use WorkbenchLM.