business-directorylocal-searchlocationsearch
Searches Discava’s worldwide business directory and exposes business details, rankings, suggestions, and feedback tools over MCP.
Quick Install
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
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Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Search for local businesses by location and query
Retrieve complete details for a selected business
Rank businesses by demand score
Suggest cities and business categories
Report inaccurate directory data
Key features
Business search by query, city, and country
Full business lookup by ID
Demand-score business rankings
City and category autocomplete
Data-quality feedback submission
Capabilities & Tool Schemas (5)
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server.
search_businessesSearch for businesses by query, city, country
get_businessGet full details for a business by ID
send_feedbackReport data quality issues
get_rankingsTop businesses by demand score
suggestAutocomplete for cities and categories
How MCP Server works
What the discava/mcp-server MCP server does
The discava/mcp-server MCP server connects AI agents to Discava, a business directory for local business discovery. It lets an agent search businesses using a query together with city and country filters, then retrieve a full business record by its ID. The available operations are focused on structured directory access rather than general browsing.
The server also exposes rankings based on demand score, autocomplete suggestions for cities and categories, and a feedback operation for reporting data-quality problems. These capabilities support workflows such as finding businesses in a particular location, narrowing a category, inspecting a selected listing, and flagging inaccurate information.
How it works
The server runs as a local TypeScript entrypoint and communicates with the Discava API. MCP-compatible clients invoke the exposed tools, while the server forwards requests to the configured API base URL. The default API URL is https://discava.ai/api/v1.
A typical interaction can begin with suggest to resolve a city or category, continue with search_businesses using the resulting context, and use get_business to retrieve complete information for a selected business. An agent can call get_rankings when it needs businesses ordered by demand score, or send_feedback when it identifies a data-quality issue.
Setup and configuration
The README shows a Claude Desktop configuration that runs the server with npx, tsx, and a local path to server.ts. The same local entrypoint can be registered with Claude Code using its MCP add command. Because the examples contain a placeholder filesystem path, the path must be replaced with the actual location of the repository before use.
Set DISCAVA_API_URL to override the API base URL. If it is not set, the server uses https://discava.ai/api/v1. The provided setup material does not specify an API key, OAuth flow, or other credential requirement.
Tools and capabilities
The discava/mcp-server MCP server provides these tools:
search_businesses: searches for businesses by query, city, and country.get_business: retrieves full details for a business identified by ID.send_feedback: reports issues with business data.get_rankings: returns top businesses by demand score.suggest: provides autocomplete suggestions for cities and categories.
Together, these tools cover discovery, record retrieval, ranking, input assistance, and feedback submission within the Discava directory.
Limitations and notes
The supplied material does not describe the fields returned by each tool, search ranking behavior beyond the demand-score ranking tool, rate limits, error handling, or authentication requirements. It also does not provide a published package name or a standalone install command. The documented setup therefore relies on a local checkout and a real path to the TypeScript server file. Claude Desktop is explicitly documented; compatibility with other clients is not established by the provided README.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
1
Stargazers on the source repository.
Last commit
5mo ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.
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48Quality signal: Fair · 48/100How this signal is calculated ▾
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Verified ownership10/20
Documentation & tools25/30
Adoption & activity1/15
Community engagement0/10
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Scanned 20d ago via OSV.dev · /path/to/discava/mcp/server.ts (npm)
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