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Port
MCP connector
Server URL
https://mcp.port.io/v1
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Skills
8 in the Cursor listing
Port blueprints
Model a Port context lake data model using blueprints, defining identifiers, titles, icons, properties, relations, and calculation, mirror, or aggregation properties, then author them with the raw Port API.
Port context lake
Design and build a Port context lake: a connected, semantically-rich data model of blueprints, relations, and mirror/aggregation properties that AI agents, scorecards, and workflows can query and act on, not just a plain software catalog.
Port dashboards
Build and update Port dashboard pages: widgets (table, number chart, pie chart, bar chart, multi-line chart, markdown, iframe, links, action card, action-runs table, entity details, AI agent), the 12-column row layout, sidebar placement, and private-page rules.
Port getting started
Set up Port and connect it to your coding agent: sign up for a Port account, install Port's MCP server, and optionally the Port CLI.
Port integrations
Configure and troubleshoot Port integrations: mapping YAML, resources, selectors, JQ-based entity mappings, relations, and advanced options like createMissingRelatedEntities and itemsToParse.
Port permissions
Configure Port's role-based access control: context lake (blueprint/entity) permissions (read, register, update, or delete entities, down to a single property or relation) and page/dashboard view/edit permissions.
Port terraform
Author and manage Port blueprints, entities, scorecards, and self-service actions with the official Terraform provider (port-labs/port-labs).
Port workflows
Build Port workflows: node-based automations made of triggers (self-service forms, context lake events), action nodes (webhook, upsert entity, GitHub/GitLab/Azure DevOps/Claude managed agents integration actions, Kafka, Cursor Agent, AI), condition and input nodes, JQ templating
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