Digip MCP
Trademark clearance search and conflict screening, powered by Digip.
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Digip's MCP connector brings trademark search and conflict screening directly into Claude. Describe a brand name and what it's for, and Digip will automatically classify the goods/services into the right Nice classes, then run a clearance search across your chosen jurisdictions (national offices, EUIPO, WIPO, and more). Key features: AI-powered classification of goods/services into Nice classes from a plain-text description Clearance search reports scored by conflict risk (High / Medium / Low) across selected regions Full report access with detailed match data — applicant, class, registration date, and status Support for listing and retrieving past search reports Built for legal, brand, and product teams who need fast, structured trademark risk screening without leaving their workflow.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-09-04
- Tool count
- 4
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Discoverability Score
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
4 tools agents can invoke
How do I improve a Community connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.