MAIA
The geospatial research engine: get answers from the physical world, built as map and table datasets.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
MAIA is the geospatial research engine for questions about places in the United States, in any field. Ask in plain language and MAIA's agent researches it and builds the answer as a project with a map and a table: which places or properties match your criteria, who owns them, what is near them, how many there are in an area, or a list of them with contacts or other details MAIA researches for each row. Data can include parcels, owners, zoning, buildings, contacts, businesses and points of interest, schools, roads and land use, and MAIA's agent can find and add suitable public map layers. Through this connector you can start a project for a county, send follow-up requests, answer MAIA's questions and approve larger steps during a run, check progress, review your projects' layers and views, and save notes and reusable skills that MAIA uses in later projects. Each answer links to the full map and table in MAIA.
- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-02
- Tool count
- 20
- 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.
Your Claude Discoverability Score is being prepared
Claude can surface a verified Connector when it matches a user’s Prompt.We are preparing MAIA’s Discoverability Score and will publish it when the benchmark is ready.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
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Competitive lineup
20 tools agents can invoke
MAIA Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve MAIA'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.