A
licenseNot graded
qualityD
maintenanceModular MCP server providing text preprocessing and NLP tools for AI agent ecosystems.
30 PyPI
MIT
estonian-mcp
by silly-geese
Related Servers
Alternatives to estonian-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceAn MCP server for working with the Võro language: local dictionary and corpus lookup, GiellaLT-backed analysis/spellcheck/grammar tools, and Neurotõlge translation.1MIT
- FlicenseAqualityCmaintenanceThis MCP server enables grammar and style checking of text using LanguageTool, providing a tool to check text and receive suggestions for issues.1-
- AlicenseNot gradedqualityCmaintenanceMCP server that bridges AI agents with external tools, APIs, databases, and services, enabling standardized tool execution and resource access.MIT
- FlicenseNot gradedqualityCmaintenanceA custom MCP server providing tools for date/time, calculations, mock weather, and note management, enabling AI agents to perform these tasks via natural language.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.-
TDQS
A3.8/5.0
Scored across 28 tools
Disambiguation4/5
Tool boundaries are unusually well signposted: descriptions explicitly cross-reference siblings (find_related_words vs synonyms, check_officialese vs check_legalese, check_style vs check_translationese, check_compound_familiarity vs check_domain_terms). The only residual overlap is among the register/prose tools (check_style, check_officialese, classify_register) which touch similar metrics like impersonal voice and noun density, but the text guides selection by genre.
Naming Consistency4/5
Mostly a predictable snake_case scheme with check_* for every linting tool, which makes the large check family scannable. Deviations are minor: bare-verb analysis tools (tokenize, lemmatize, syllabify, paradigm) and the reversed spell_check rather than check_spelling.
Tool Count3/5
At 28 tools this is on the heavy side, though the domain (Estonian morphology, orthography, style, legal drafting) is genuinely broad and each check targets a distinct phenomenon. Still, the surface could likely be consolidated (e.g. merging the many narrow legal checks) without losing capability.
Completeness4/5
Covers the full language-tooling lifecycle: tokenize, morph analysis, lemma/POS, paradigm generation, syllabify, hyphenation, spell check, NER, plus a deep set of orthography/style/legal checks. Minor gaps remain, e.g. no syntax/agreement parsing and no general grammar-check for sentence structure beyond the curated rule lists.
Maintenance
ActivityActive
ResponsivenessWithin a week