Datapacks

The isolation unit for agent data in Meko

A datapack is Meko's fundamental unit of isolation. Each datapack provides a self-contained persistent store for conversations, memory, and knowledge. MCP clients connect to the shared endpoint (https://mcp.mekodata.ai/mcp) and target a datapack by passing the datapack ID in tool calls.

What's in a datapack

When you create a datapack, Meko provisions isolated storage, scoped to your agent(s), and managed internally by Meko.

To connect an external MCP client (Cursor, Claude Code, and so on), you need:

  • The MCP server URL, https://mcp.mekodata.ai/mcp (the same for every datapack and user).
  • A user API key: a long-lived key you generate under Settings>API Keys in the portal (values start with mko_tkn_).

Agents select the datapack to connect to by passing the datapack_id inside each MCP tool call, not by using a different URL per datapack.

Create a datapack

The first time you sign in to the Meko portal, Meko walks you through the steps to create your default datapack (meko_default_datapack) and connect it to your client.

To create additional datapacks:

  1. In the Meko portal, navigate to Datapacks.
  2. Click Add Datapack.
  3. Follow the instructions in the configure wizard.

Share a datapack

To share your datapack with colleagues:

  1. In the Meko portal, under Datapacks, select the datapack you want to share.
  2. Click Share.
  3. Enter the email of the person you want to share with, and select the permission level.
  4. Click Send Invite.

Isolation model

Each datapack is fully isolated:

  • Data isolation. Logical isolation within a shared YugabyteDB universe. One agent cannot access another's data.
  • Credential isolation. User API keys and database credentials are scoped to your account; datapack data is separated in storage.
  • MCP isolation. Tool calls include a datapack_id so the shared MCP server only reads and writes that datapack's data.

Connect via MCP

Each datapack exposes an MCP server that agents use to interact with their data.

When you create a datapack in the Meko portal, Meko provides instructions to connect your datapack to your agent automatically. The connection commands are also available under Connect in the Meko portal.

You can also configure clients by manually adding this configuration to your coding agent or agent framework. See Integrations.

Manage datapacks

Manage your datapacks from the Datapacks page in the Meko portal. Datapacks lists all your datapacks. From here you can add and share datapacks.

Select a datapack to view the conversations, memories, learnings, knowledge the datapack holds.

From here, you can review and promote learnings to knowledge.