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Connectors extend an agent with external tools and capabilities, remote MCP tools, constrained LangSmith operations, and GitHub sandbox access, without wiring up your own clients, OAuth flows, or credential plumbing. Managed Deep Agents discovers connector modules under connectors/. Each file directly under that folder is a connector; you do not register connectors in the agent entry (agent.py or agent.ts).
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Connector types

For the full project layout, see the CLI project file reference.

Choose the right integration

For example, the GitHub connector prepares repositories in a sandbox, while the GitHub channel receives App webhooks.

Combine connectors with authored tools

Use custom tools for business logic, private APIs, database access, and other project-owned code. Use custom middleware for cross-cutting behavior around model calls, tool calls, lifecycle hooks, retries, limits, and data handling. MCP connector tools are appended to the tools you define in the agent entry. LangSmith capabilities are exposed on separate HTTP routes scoped by identity.

Test and deploy

Test the project locally with mda dev, then deploy it with mda deploy. Open deployment traces in LangSmith to inspect model calls, tool calls, errors, and latency. Connector misconfiguration surfaces during local startup or first tool load. LangSmith capability calls return 401 without a resolved identity and 403 when ownership checks fail. For deploy symptoms and fixes, see Troubleshooting.

Next steps

MCP connector

Load tools from remote MCP servers.

LangSmith connector

Expose constrained LangSmith capabilities to untrusted callers.

GitHub connector

Prepare repositories, the GitHub CLI, and credentials in a sandbox.

Identity

Authenticate callers required by the LangSmith connector.

CLI reference

Look up connector project file rules.