Agent
Discoverability
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Claude Connector

Birdi

Turn aerial data into maps, measurements and reports

View in the Claude registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Birdi is a geospatial AI workspace for teams working with drone, aerial and satellite data. Built so anyone can get answers from site data, not just GIS specialists. The Birdi MCP server lets Claude run site workflows end to end: upload imagery in batches, trigger processing to produce orthomosaics, point clouds and terrain models, create and organise maps and projects, run AI detections to find and count assets, take measurements and volumes, manage annotations, share maps with your team, and generate reports from what it finds.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-10-13
Tool count
35
Geography
US
Agent DiscoverabilityClaude 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 showing a list of relevant Connectors in a conversation

Claude can surface verified Connectors when they match a user’s Prompt.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Birdi has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

35 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

Birdi Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Birdi's Claude Connector 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.