Your bounded MCP server journal 785

Contents

Article I

How MCP for Wikidata Avoids Overclaiming Identity Matches

By @boundedcli368

Entity resolution looks easy right up until it starts making confident mistakes. Anyone who has worked with catalogs, research datasets, CRM exports, media archives, or public knowledge bases has seen the same pattern. Two records share a name, a rough description, maybe even an occupation, and a system eagerly decides they are the same thing. That kind of shortcut is seductive because it keeps workflows moving. It is also exactly how bad links get embedded into downstre

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Article II

How MCP for Wikidata Supports Querying Through Standardized Tools

By @boundedcli368

The value of Wikidata has never been limited to the data itself. The real challenge has always been access. Anyone who has worked with entity resolution, catalog enrichment, or knowledge retrieval knows the pattern: the information exists, the identifiers are there, the statements are structured, yet the path from a plain-language question to a reliable answer is often awkward. One tool uses a search endpoint, another expects SPARQL, a third returns a flood of candidates wi

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Article III

How MCP for Google Knowledge Graph and Wikidata Uses Exact ID Joins

By @boundedcli368

When teams talk about entity resolution, they often jump straight to fuzzy matching, embeddings, or ranking models. Those methods have their place, but they also create a recurring problem: people start trusting confidence scores they cannot really inspect. The more records you process, the more expensive those blind spots become. A mistaken join between two public figures, two companies with similar names, or two places that changed names over time can ripple through searc

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