Dataset Listing And Metadata Retrieval

via “full-dataset metadata retrieval with resource inventory”

Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.

Unique: Provides a single atomic call to retrieve complete dataset context including all resources, avoiding the need for separate API calls per resource and enabling AI agents to make informed decisions about which files to query or download.

vs others: More efficient than iterating through individual resource endpoints; returns the full dataset graph in one call, reducing latency and simplifying agent planning logic compared to sequential resource lookups.

via “list and inspect fetched packages with metadata reporting”

Fetch source code for npm packages to give AI coding agents deeper context

Unique: Provides metadata-driven listing that reads from an index rather than filesystem scanning, enabling fast queries and structured output without I/O overhead

vs others: Faster than ls -la opensrc/ because it reads pre-computed metadata; more reliable than filesystem-based detection because it reflects the actual state tracked by opensrc

via “table metadata retrieval”

MCP server for accessing CBS (Statistics Netherlands) open data. Search datasets, retrieve table metadata, download observations, and list topics from the Dutch national statistics bureau. 6 tools for demographic, economic, and social data.

Unique: Provides a standardized API endpoint for metadata retrieval, ensuring consistent access to table structures across all datasets.

vs others: More comprehensive than typical metadata endpoints, as it includes detailed descriptions of each field and its data type.

Authenticate and interact with your Powerdrill datasets effortlessly. List datasets, get detailed information, and create jobs using natural language questions. Enhance your data analysis capabilities with seamless integration into your existing tools.

Unique: Incorporates efficient caching strategies to minimize latency when listing datasets, unlike traditional systems that may require full re-fetching on each request.

vs others: Faster and more efficient than standard API calls for dataset listings, especially in environments with numerous datasets.

via “detailed listing retrieval”

Search Airbnb listings and retrieve detailed information about specific listings. Get structured JSON data without requiring an API key, while respecting Airbnb's robots.txt rules. Simplify your vacation rental planning with easy access to Airbnb data.

Unique: Focuses on extracting detailed listing information directly from the HTML, rather than relying on a traditional API, which can be limiting.

vs others: Provides richer detail compared to API calls that may limit the amount of data returned or require multiple requests.

via “airbnb listing detail retrieval with full property metadata”

MCP server for Airbnb search and listing details

Unique: Provides structured, nested JSON output of all property metadata in a single call, avoiding the need for agents to parse HTML or make multiple API requests. MCP schema defines all output fields with types, enabling type-safe access from LLM agents.

vs others: More complete than Airbnb's official API (which has limited free tier) and simpler than web scraping — MCP abstraction handles data extraction and formatting transparently

via “metadata-management-and-cataloging”