Yandex Wordstat MCP
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read Yandex Wordstat search query statistics, including top phrases, dynamics, regional distribution, and region code trees, via the Yandex Search API in a read-only manner.MIT
- AlicenseBqualityAmaintenanceEnables AI agents to access Yandex Wordstat keyword research, trend dynamics, and regional analytics through typed read-only tools with strict schemas and safety controls.5MIT
- AlicenseNot gradedqualityCmaintenanceConnects Claude or ChatGPT to Yandex Wordstat for keyword research, enabling frequency lookups, related phrase suggestions with noise filtering, and 24-month seasonality analysis directly in chat.2MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables keyword research and search trend analysis for the Russian market through Yandex Wordstat API. Provides access to popular search queries, search volume dynamics over time, and regional distribution data.-
- AlicenseAqualityCmaintenanceEnables collecting real Yandex Wordstat v2 data and running managed semantic-core research workflows, including query frequencies, regional demand, dynamics, and AI-assisted cleaning, intent labeling, clustering, and reporting.5MIT
- AlicenseAqualityAmaintenanceEnables AI agents to query Yandex Metrika traffic stats, Webmaster search performance and indexing, Direct ad spend reports, and Wordstat keyword frequencies through natural language. It is read-only except for confirmed page recrawl requests, runs locally with no third-party dependencies, and keeps OAuth tokens in the OS keychain.1552 PyPI4MIT
TDQS
Scored across 5 tools
Each tool targets a distinct analytical dimension: top queries/associations, time dynamics, regional distribution, region reference data, and a generic fallback. The only potential overlap is raw_request, which could replicate other tools, but its description explicitly scopes it to endpoints lacking a dedicated tool.
All names use snake_case, but the patterns are mixed: some are nouns (dynamics, regions), one is verb_noun (top_requests, list_regions), and one is adjective_noun (raw_request). The set is readable but lacks a consistent verb_noun convention.
Five tools cover Wordstat's main endpoints (top requests, dynamics, regions, list regions) plus a generic escape hatch. Each tool is justified and the count is well-scoped for the domain.
The surface covers demand analysis (top_requests), trend/seasonality (dynamics), regional breakdown (regions), reference data (list_regions), and any other endpoint via raw_request. No obvious gaps for typical Wordstat workflows.