About
public-data-lens connects MCP-compatible agents with public-data discovery and evidence review workflows.
Features
- Provides an MCP-based layer for public-data discovery and judgment
- Uses evidence-oriented dataset comparison with JSON-LD/DCAT metadata context
- Public GitHub repository lets builders inspect setup and implementation details
- Targets agent workflows that need source-backed dataset selection
Use Cases
AI builders
Connect an MCP-compatible client to public-data discovery workflows during research or analysis.
Data teams
Evaluate dataset metadata and evidence before wiring government open data into an agent.
What This Server Can Do
MCP servers expose three types of capabilities to AI clients. Here's what public-data-lens supports.
Tools
Supported1 toolFunctions your AI client can call to perform actions — like querying a database, creating a file, or calling an API.
How to use: Tools run automatically when your AI client decides they're needed. Ask your AI assistant to perform a task, and it will invoke the right tool.
Resources
SupportedRead-only data sources this server exposes — like files, database schemas, or API responses your AI client can read for context.
How to use: Resources are loaded as context when your AI client needs background information. Ask about the data this server manages, and resources get pulled in automatically.
Prompts
Not availableThis server does not provide pre-built prompt templates.
For the full list of available tools, resources, and prompts, check the README on GitHub.
Available Tools (1)
public_data_searchSearch, compare, or assess public datasets through the server workflow described by the source project.