Connect-MCP

NobodyNamed

io.github.michaelcolenso/nobodynamed · v1.0.0

US baby name popularity data from SSA records (1880-2025): search, trends, geography, culture.

MCPremoteno credentials

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 12 tools, protocol 2025-03-26 · checked 2026-10-17

Test & rating

A 95/100

What it does: 12 tools · 12 read, 0 write

Test call get_site_metadata: worked (1,047 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://nobodynamed.com/mcp

Tools

12 tools listed at last check
  • search_names Autocomplete search for US baby names. Returns up to 10 suggestions matching the given prefix.
  • get_name_data Returns full yearly birth count timeseries (1880–2025) for a given name for both sexes, including trend classification (rising/stable/declining/endangered/extinct), peak year, and peak count.
  • get_names_by_status Returns a curated list of names filtered by trend status.
  • get_year_names Returns the top baby names for a given birth year (1880–2025).
  • get_site_metadata Returns top-10 names per year, total birth counts per year, and the full year range covered by the dataset.
  • compare_names Side-by-side comparison of 2-3 names: full yearly series for each so trends can be plotted or contrasted directly.
  • get_name_twin Finds the names whose popularity trajectory over time is most similar to the given name (cosine similarity on the yearly series), i.e. names that rose and fell together.
  • get_decade_names Returns the top baby names aggregated across an entire calendar decade.
  • get_year_movers Year-over-year rank changes for the top 100 names of each sex vs. the prior year: biggest gainers, biggest losers, and new entrants.
  • get_name_enrichment Returns a precomputed profile for a name: estimated living population and median age, its popularity wave shape, cultural catalysts (events/media tied to spikes), historical demographic profiles by era (top occupations, region, urban vs. rural), and regional anomalies (states where it over-indexes).
  • get_name_diaspora Returns the geographic spread of a name over time: where it first broke out (a clearly higher rate there than nationally), when it peaked nationally, which states broke out and when, and which states never did. `neverAdopted` lists the states that never passed the breakout test; it does not mean the
  • get_name_debuts Returns every name that appeared in SSA records for the first time in the given year — genuine linguistic novelties, celebrity imports, invented spellings, or names newly crossing the 5-birth reporting threshold.

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