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Intermediate

Integrations & Ecosystem

Plug 1Claw into Python, MCP clients, and your agent framework.

By the end of this track

You’ll be able to plug 1Claw into Python, LangChain, CrewAI, elizaOS, and containerized agent runtimes.

11 lessons~29 min33 questions
Start → Fetch a secret with the Python SDK
  1. 1Fetch a secret with the Python SDKInstall the oneclaw Python SDK, create a client, and print a secret from your vault.
  2. 2Lab: handle an error that never throwsLabWrap an SDK call in try/except, watch it fail anyway, and find where the error actually was.
  3. 3Lab: print a secret without meaning toLabLog an SDK response the way everyone does during debugging, and read the value back out of your own log.
  4. 4Wire an AI client to the 1Claw MCP serverConfigure Claude Desktop, Cursor, or VS Code to reach the 1Claw MCP server and call list_secrets.
  5. 5Lab: check this course's own '141 tools' claimLabFetch the live MCP server card and compare its tool count against the number this course has repeated since the very first lesson on MCP.
  6. 6Lab: install a tool that talks to your modelLabAssemble the prompt an MCP client actually builds, then read what an installed tool got to say inside it.
  7. 7Give a LangChain agent vault accessWrap the 1Claw SDK in a LangChain tool so an agent fetches a vault secret on demand.
  8. 8Give a CrewAI crew secure secret accessUse the 1claw-crewai-tools package so a CrewAI agent fetches a secret at runtime.
  9. 9Load the 1Claw plugin into an elizaOS agentBootstrap a vault and agent, then configure @1claw/plugin-elizaos in a character.
  10. 10Sign onchain with 1Claw AgentKit on BaseRun the 1Claw AgentKit MCP server so an autonomous agent signs Base transactions with no keys on disk.
  11. 11Containerized agents with 1claw init --dockerSpin up a sandboxed agent container that runs MCP and a chat UI but never receives the agent key or any LLM provider key.