Compare Addresses
Pricing
Pay per usage
Compare Addresses
Matches addresses in different formats, using geocoding. It fetches geocodes from Google Map, compares them, and returns the matching addresses, within some threshold.
0.0 (0)
Pricing
Pay per usage
2
Total users
6
Monthly users
2
Runs succeeded
>99%
Last modified
9 months ago
You can access the Compare Addresses programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=marco.gullo/compare-addresses"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Compare Addresses via Model Context Protocol (MCP) server
MCP server lets you use Compare Addresses within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Compare Addresses Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "group1": [$ {$ "key": "Vodičkova 704/36, 110 00 Nové Město",$ "value": "50.0813488174,14.42542405588"$ }$ ],$ "group2": [$ {$ "key": "Praha, Vodičkova, 704/36, 110 00",$ "value": ""$ }$ ]$},$ "name": "marco.gullo/compare-addresses"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for Compare Addresses
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "marco.gullo/compare-addresses" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
