What we built
MetaPipe is a production-grade Model Context Protocol (MCP) server for Pipedrive. We host it at metapipe.metawork.studio to give LLMs—specifically our MetaBot project—direct, structured access to CRM environments.
The core system is multi-tenant. It securely routes AI requests into client Pipedrive accounts.
We didn't just wrap the basic Pipedrive API. We built specialized tools for the operations that matter in a sales pipeline. MetaPipe handles smart email filing, where the agent reads the context, suggests a filing location, and can propose or create a deal directly from an email. We also handle pre-import data cleaning and deduplication. The tricky part was managing the dedupe merge logic. We had to ensure that when a lead is merged, the system deletes the duplicate record without losing the historical notes and activities.
We actively enforce CRM data hygiene. We built rules to prevent loose tasks by requiring a record link whenever the AI creates a new activity. Every CRM record we return includes a web_url so users can instantly click through to the Pipedrive frontend.
MetaPipe includes playbooks and guidelines for a healthy, well defined CRM. Instead of entrusting AI with the job of designing the right pipeline or defining fields (it's still bad), we implemented best practices that AI uses to tailor your Pipedrive.
A dedicated UI for deduplication is something we threw in just because. Native dedupe UI in Pipedrive sucks. Other tools are expensive. A healthy, dupe free CRM is a requirement for healthy sales and workflows.
Recently touched
- 2026-09-19 Production hardening of MetaClaw deploy (backups, systemd, TLS, firewall) Open
- 2026-09-16 File uploads without bytes in the model: single-use upload URLs on MetaPipe/MetaHub''s own host Done
- 2026-09-15 Enterprise tier Done
- 2026-09-14 MetaHub: collapse ~95 flat hs_* tools behind action routers and shorten the connector name (always-on tool-name cost) Open
- 2026-09-12 Replace the MetaHub HubSpot app with a user-level-access app Done
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