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API & AI automationsAnchor's MCP server exposes your billing data and actions to AI agents, so assistants can answer questions, draft proposals, and check payment status with the right permissions.
Connect any MCP-compatible client and give it scoped access to Anchor. Agents read clients and invoices and take actions, all within the limits you set.
The work you already do, with the busywork removed.
AI assistants can query and act on Anchor data through a standard protocol.
Grant only the resources and tools each agent should be able to touch.
Built on MCP, so it connects to a growing ecosystem of AI clients.
"They connect to just about everything. It just saves so much time across all my companies."
It exposes Anchor's data and actions through the Model Context Protocol, so AI agents can read clients and invoices and take actions you allow.
visit here https://help.sayanchor.com/en/articles/15002538-claude-connector
For requirements and step by step guide,
Any application that supports MCP can connect, including Claude and other assistants that implement the protocol.
Yes. You set scoped permissions for every connection, so an agent only sees the resources and tools you explicitly grant.
Scoping is set at the connection level, so an agent can query across every client you've included rather than being limited to one file at a time. That's the difference between asking "which clients are behind" as one question versus running a report per client.
Yes. Scopes aren't fixed at setup. If you want to narrow what an agent can reach, or cut off access entirely, you update or remove that connection the same way you'd manage any other integration.
Zapier and the API are built for triggering actions and moving data between systems on a schedule or event. MCP is built for an AI agent to ask a question in the moment and get an answer back, so it fits a different job: on-demand queries rather than automated workflows.
Ask Claude about clients, proposals, and payments in plain language.
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