discava – Business Directory for AI
discava/mcp-serverSearch for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP
Tools · 8
Search for local businesses. Returns name, category, city, country, logo_url, available_details (what data exists), and scores. Check available_details to see what is available, then call get_business…
Get complete details for one or more businesses including address, phone, website, opening hours, services, payment methods, social links, logo, business image, and coordinates. Pass comma-separated I…
Report data quality issues for a business. Use when you notice incorrect phone numbers, wrong addresses, outdated info, or closed businesses.
Get the most popular businesses in an area, ranked by real user click-through data. Use to find top-rated businesses by category.
Autocomplete suggestions for cities or categories/business names. Use before searching to resolve ambiguous user input (e.g. "Mün" → "München").
List all Discava business categories (slug, translated name, parent, icon). Call this to discover valid category slugs before using the "category" filter in search_businesses or get_rankings.
List the countries Discava supports (ISO code, name, flag, region). Call this to discover valid country codes for the required "country" parameter.
Check if the discava API is online and responding. Returns status and version. No parameters required.
Resources · 2
Full API documentation and integration instructions
https://discava.ai/SKILL.md
LLM-optimized description of discava
https://discava.ai/llms.txt
Prompts · 2
Find a local business by type and location
Compare multiple businesses in a category and city
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How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"discava_–_business_directory_for_ai": {
"url": "https://discava.ai/api/mcp",
"transport": "http"
}
}
}