Zovo Address Geocoder
US address lists to geography
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"census-geocode": {
"url": "https://census-geocode.zovo.one/mcp"
}
}
}Remote endpoints
https://census-geocode.zovo.one/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢geocode_addresses(addresses)
Use this when the user wants to geocode addresses, convert addresses to latitude and longitude, or do a census tract lookup with a downloadable Excel and CSV file. US addresses only; up to 1,000 rows and 200,000 characters. Do not use for driving directions or addresses outside US coverage.
Input Schema
{
"type": "object",
"properties": {
"addresses": {
"type": "string",
"description": "US addresses, one per line, or CSV with an Address or Street header; up to 200,000 characters. Example: 1437 Bannock St, Denver, CO 80202."
}
},
"required": [
"addresses"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"counts": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
},
"preview": {
"type": "array",
"items": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": [
"string",
"number"
]
}
}
},
"errors": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"note"
],
"additionalProperties": false
}
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
},
"source": {
"type": "string"
}
},
"required": [
"counts",
"preview",
"errors",
"downloads",
"source"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢find_address_districts(addresses)
Use this when the user wants congressional district by address, state legislative district by address, or census tract by address with downloadable Excel and CSV files. US addresses only; up to 100 rows and 200,000 characters. Do not use for elected representative names or contact details.
Input Schema
{
"type": "object",
"properties": {
"addresses": {
"type": "string",
"description": "US addresses, one per line, or CSV with an Address or Street header; up to 200,000 characters. Example: 1437 Bannock St, Denver, CO 80202."
}
},
"required": [
"addresses"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"counts": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
},
"preview": {
"type": "array",
"items": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": [
"string",
"number"
]
}
}
},
"errors": {
"type": "array",
"items": {
"type": "object",
"properties": {
"row": {
"type": "number"
},
"note": {
"type": "string"
}
},
"required": [
"row",
"note"
],
"additionalProperties": false
}
},
"downloads": {
"type": "object",
"properties": {
"xlsx": {
"type": "string"
},
"csv": {
"type": "string"
}
},
"required": [
"xlsx",
"csv"
],
"additionalProperties": false
},
"source": {
"type": "string"
}
},
"required": [
"counts",
"preview",
"errors",
"downloads",
"source"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}Community
Evidence