generated: '2026-08-13'
method: generated
source: mcp/spate-mcp-tools.json
note: >-
  Spate publishes no OpenAPI, so these skills are grounded in the four real MCP
  tool names and their live JSON Schema input contracts, fetched anonymously
  from https://api.spate.nyc/mcp via tools/list. Every parameter, enum value
  and error code cited in the skills was observed on the wire; no operation or
  field was invented. Spate publishes no AGENTS.md or first-party skills.
provider_published: false
skills:
- name: spate-category-trend-discovery
  file: skills/spate-category-trend-discovery.md
  surface: mcp
  operations: [find_category, top_trends]
  summary: >-
    Resolve a category name to a Spate taxonomy UUID and pull the top-ranked
    trends inside it for one market.
- name: spate-trend-trajectory-and-adjacency
  file: skills/spate-trend-trajectory-and-adjacency.md
  surface: mcp
  operations: [find_category, time_series, top_related_trends]
  summary: >-
    Read a cat5 category's trajectory across the popularity index, TikTok and
    Reddit, and map adjacent categories along one of 44 affinity dimensions.
tool_coverage:
  total_tools: 4
  covered: 4
  uncovered: []