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Lobu — Claude Code MCP server: what it does, how to install

Maintains durable company context and event logs across AI assistants. Useful when you need agents to share memory across separate sessions.

Install into Claude Code · Platform CLI: remote server All methods and platforms ↓
claude mcp add --transport http lobu https://lobu.ai/mcp
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What Lobu does

Lobu maps tool executions, data mutations, and API signals into an event-driven context graph. It anchors records to distinct entities such as customers, teammates, or active projects. Instead of forgetting history after closing a chat, assistants query a persistent model of organizational knowledge.

Integration runs through a remote MCP endpoint at https://lobu.ai/mcp. Assistants discover shared records under the caller's permission boundaries and can delegate long-running tasks to persistent specialist agents.

Setup requires no local lobu.config.ts file. Access control and provenance checks remain server-side, meaning the agent cannot retrieve records until you finish initial OAuth verification.

What it helps with

  • share project context between disconnected assistant sessions
  • retrieve past company decisions without manually re-fetching API data
  • assign specialized workloads to persistent agent roles
  • enforce server-side permission checks across agent tool calls

Example prompts for the agent

  • Check Lobu for our enterprise onboarding decisions and summarize changes since the previous release.
  • Delegate feedback analysis to our researcher specialist and draft interview topics.

How to install Lobu

Platform CLI: remote server

claude mcp add --transport http lobu https://lobu.ai/mcp

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about Lobu

How to install Lobu in Claude Code?

Run claude mcp add --transport http lobu https://lobu.ai/mcp in your terminal. Complete the OAuth prompt on your first call to link your account.

What does Lobu do?

It provides a shared, event-sourced context layer across multiple AI tools. Agents can look up organizational state and hand off tasks without starting from zero every session.

Do I need a local configuration file?

No local lobu.config.ts is required. Point your MCP client to the hosted URL and authenticate via OAuth.

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