Integrations·Productivity & Docs
Give your autonomous agents a live connection to Affinda: managed, secure, and ready in minutes.
Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. On Molted, your OpenClaw agents connect to Affinda through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can read, write, and organise documents and notes for Affinda, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Affinda actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
AFFINDA_BATCH_UPDATE_ANNOTATIONS
Tool to update multiple annotations in one request. use when you need to modify parsed values or other fields across many annotations at once.
AFFINDA_CREATE_COLLECTION
Tool to create a new collection. use after you have a valid workspace id and want to group documents by a specific extractor within that workspace.
AFFINDA_CREATE_DOCUMENT
Tool to upload a new document for parsing. use when you have the document file or a public url and need to extract structured data immediately.
AFFINDA_CREATE_ORGANIZATION
Tool to create a new organization. use when you have a unique organization name and want to group resources under it.
AFFINDA_CREATE_RESTHOOK_SUBSCRIPTION
Tool to create a new resthook subscription. use after confirming your webhook endpoint is ready to receive document event notifications.
AFFINDA_CREATE_TAG
Tool to create a new tag. use when you need to label documents in a specific workspace.
AFFINDA_CREATE_VALIDATION_RESULT
Tool to create a validation result. use when recording validation outcomes for a document after parsing.
AFFINDA_CREATE_WORKSPACE
Tool to create a new workspace. use when you need to programmatically create a workspace container within an organization.
AFFINDA_DELETE_COLLECTION
Tool to delete a specific collection by its id. use when you need to remove an unused collection. use after verifying the collection id.
AFFINDA_DELETE_DOCUMENT
Tool to delete a specific document by its id. use when you need to remove a document that is incorrect or no longer needed, after confirming the document id.
+ 29 more Affinda actions, all callable by your agents.
How the connection works
Affinda 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 Affinda when a task needs it.
02
Authorize Affinda once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Affinda autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Affinda 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 Affinda straight away, with no integration code to write or maintain.
Q.02
Affinda 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 read, write, and organise documents and notes. With Affinda, your agent can capture meeting notes, action items and decisions into the right place.
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 Affinda 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 Affinda is a configuration step, not an engineering project.
Q.06
No. Affinda is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Affinda and the other 1,000+ apps is included.
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