Integrations·AI & ML
Give your autonomous agents a live connection to Conveyor: managed, secure, and ready in minutes.
Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. On Molted, your OpenClaw agents connect to Conveyor through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Conveyor, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Conveyor actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
CONVEYOR_DELETE_DOCUMENT
Tool to delete a specific document. Use when you need to remove a document by its ID.
CONVEYOR_DELETE_FOLDER
Tool to delete a folder by its ID. Use when you need to remove a specific folder after confirming its ID.
CONVEYOR_GENERATE_API_TOKEN
Tool to validate API token and provide guidance. Conveyor does not support API-based token creation; tokens must be created in the Conveyor UI. This action…
CONVEYOR_GET_AUTHORIZATION_REQUEST
Tool to fetch details of a specific authorization request. Use when you need to retrieve metadata by authorization_request_id.
CONVEYOR_GET_AUTHORIZATION_REQUESTS
Tool to fetch authorization requests. Use when you need to list authorization requests, optionally filtered by status.
CONVEYOR_GET_AUTHORIZATIONS
Tool to retrieve all authorization requests. Use when you need to list all authorizations; optionally filter by status. Use after authenticating with a valid…
CONVEYOR_GET_CONNECTIONS
Tool to retrieve all connections. Use when you need to fetch the complete list of your Conveyor connections. Use after authenticating with a valid API key.
CONVEYOR_GET_DOCUMENTS
Tool to retrieve all documents. Use after authenticating with a valid API key.
CONVEYOR_GET_FOLDERS
Tool to retrieve all folders. Use after authenticating with a valid API key to fetch the complete list of your Conveyor folders.
CONVEYOR_GET_INTERACTIONS_BY_DOCUMENT_ID
Tool to fetch interactions associated with a specific document. Use when you need to list all interactions for a given document after validating its existence.
+ 8 more Conveyor actions, all callable by your agents.
How the connection works
Conveyor connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Conveyor when a task needs it.
02
Authorize Conveyor once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Conveyor autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Conveyor is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Conveyor straight away, with no integration code to write or maintain.
Q.02
Conveyor connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. With Conveyor, your agent can add specialised intelligence the base model does not cover.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Conveyor access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Conveyor is a configuration step, not an engineering project.
Q.06
No. Conveyor is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Conveyor and the other 1,000+ apps is included.
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