MCP Server: Data Gouv
Pricing
$10.00 / 1,000 tool calls
MCP Server: Data Gouv
MCP Server: Data Gouv: an MCP server exposing 6 tools for AI agents. HTTP-only, no API key. Pay $0.01/tool-call.
Pricing
$10.00 / 1,000 tool calls
Rating
0.0
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Developer
dltik
Actor stats
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Bookmarked
2
Total users
1
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a day ago
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MCP Server: Data Gouv: an MCP server exposing 6 tools for AI agents. $0.01 per tool-call.
⭐ Bookmark this MCP Server: Data Gouv — Apify ranks actors by bookmarks, so it directly helps the visibility of this actor on the Apify Store.
What is the MCP Server: Data Gouv?
The MCP Server: Data Gouv is an Apify-hosted MCP server exposing 6 tools (search_dpe, get_dpe_by_id, search_dvf, geocode_address, reverse_geocode, insee_codes_postaux) for AI agents (Claude, Cursor, Continue) to query ai dev data. HTTP-only, no API key, runs on the Apify cloud.
Use cases
- AI agent integration — let Claude/Cursor/Continue call MCP Server: Data Gouv tools directly from chat.
- Automated research workflows — chain tool calls inside an agent for multi-step lookups.
- Data enrichment pipelines — augment your CRM/database via agent automation.
- MCP catalog expansion — add this server to your existing MCP stack.
- Prototype before building — validate an AI use case without writing API client code.
Input
{"mode": "call_tool","tool_name": "search_dpe","arguments": {"limit": 5}}
Output
{"result_field_1": "value extracted by the tool","result_field_2": "another field","metadata": {"tool": "search","query": "example"}}
Pricing
PAY_PER_EVENT — $0.01 per tool-call (= per 1,000 = the same × 1,000). Failed runs are not charged. list_tools mode is free for MCP servers (discovery).
FAQ — MCP Server: Data Gouv alternatives
Why MCP Server: Data Gouv on Apify vs writing it yourself? Maintenance. APIs change. CAPTCHAs rotate. Anti-bot fingerprints update. This actor handles all that — you focus on the data.
Can I run it from Python / Node / curl? Yes. Use Apify's run-sync-get-dataset-items endpoint with your token, or the official Apify SDK.
What about rate limits? The actor handles backoff automatically. For high volume, queue runs sequentially or use Apify's run-pool feature.
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License: MIT · Author: dltik