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MCP server for tabla learning: glossary, taals, composition, practice coaching, certification prep.
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MCP server for tabla learning: glossary, taals, composition, practice coaching, certification prep.
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (3 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
9 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sreeramkongeseri-tablafocus-mcp": {
"args": [
"-y",
"tablafocus-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
TablaFocusMCP
TablaFocusMCP is a MCP server focused on tabla learning workflows. It unifies glossary lookup, composition design and validation, certification preparation, practice planning, and taal explanation into one consistent interface for AI assistants and serious learners. Alongside tools, it also exposes MCP resources (readable datasets) and prompts (guided workflows).
How To Use
Once tablafocus is installed in your MCP client, chat naturally about what you want to practice or build.
The assistant can explain taals, generate compositions, create quizzes/mocks, and plan practice weeks.
Try prompts like these:
Explain teental for a beginner, including vibhag structure, sam, and khali.Generate a valid 1-cycle tihai in teental (chatusra) and show the beat-by-beat mapping.Create a weekly tabla practice plan for 45 minutes/day, 5 days/week, focused on clarity and layakari.Build a 15-question ABGMVM Madhyama Pratham mock test with answer key and short rationales.I have a tihai idea for teental. Help me refine it so it resolves cleanly to sam in 1 cycle.Transpose this teental tihai into rupak while preserving the structural feel as closely as possible.
Workflow prompt templates are also available:
| Prompt name | What it guides | Inputs |
|---|---|---|
cert_prep_plan | Certification workflow (catalog -> mock -> plan) | board, certification_level, days_per_week, minutes_per_day |
weekly_practice_reset | Weekly reset workflow after missed sessions or fatigue | goals (semicolon-delimited), daily_minutes, days_per_week, optional missed_days, completed_minutes, fatigue |
exam_week_plan | Focused 7-day exam prep workflow | board, certification_level, daily_minutes, optional weak_areas, fatigue |
missed_week_recovery | Recovery workflow after a disrupted practice week | goals (semicolon-delimited), daily_minutes, days_per_week, optional missed_days, completed_minutes, fatigue |
composition_polish | Iterative composition draft -> validate -> refine flow | taal, form, jati, optional cycles, optional polish_rounds |
Core Tools
All tools return a common envelope with meta and data.
| Tool | What it does | Required inputs | Optional inputs | Output highlights |
|---|---|---|---|---|
glossary_lookup | Finds glossary terms and definitions | None | term, category, limit (1-100) | Matching entries, categories list, total matches |
compose_builder | Builds mathematically valid compositions | taal, form, jati (tisra|chatusra|khanda|misra) | cycles (1-12) | Composition equation, parameters, timeline segments, alternatives |
composition_transposer | Transposes a valid composition into a new taal/jati context | source (taal, form, jati, cycles, composition_input), target (taal, jati) | target.cycles, preserve_mode=shape_ratio | Chosen transposed composition, scale factor, preservation report, alternatives, warnings |
certification_catalog | Lists certification tracks and level breakdowns | None | board, certification_level | Board/level catalog with papers, categories, objectives, references |
assessment_builder | Creates quizzes and certification mocks | mode (practice_quiz|cert_mock) | count (1-100, default 10), seed, board, certification_level, taal | Questions, answer key with rationale, rubric, optional certification reference |
practice_coach | Generates adaptive weekly practice plans | goals (array), availability (object) | profile_id, availability.daily_minutes (1-600), availability.weekly_minutes (1-4000), availability.days_per_week (1-7), week_context.missed_days (0-7), week_context.completed_minutes (0-4000), week_context.fatigue (low|medium|high) | Weekly target, daily targets, per-day sessions, adaptive adjustments |
taal_catalog | Returns full catalog or one taal detail | None | taal_id | Taal structure, vibhag, sam/khali, clap-wave, counting guidance, theka |
composition_validator | Validates composition equation and timeline checks | taal, form, jati, cycles (1-12), composition_input | composition_input.P, G, M, g, optional detailed segments | is_valid, failure reasons, equation/timeline/segment checks |
explain_taal | Compatibility alias for taal explanation | taal | None | Explanation payload sourced from canonical taal_catalog data |
How To Install
Run directly from npm:
npx -y tablafocus-mcp@latest
Codex CLI:
codex mcp add tablafocus -- npx -y tablafocus-mcp@latest
Claude Code:
claude mcp add -s user tablafocus -- npx -y tablafocus-mcp@latest
JSON-based clients (Claude Desktop, Cline, VS Code Copilot):
{
"mcpServers": {
"tablafocus": {
"command": "npx",
"args": ["-y", "tablafocus-mcp@latest"]
}
}
}
Cursor:
{
"name": "tablafocus",
"command": "npx",
"args": ["-y", "tablafocus-mcp@latest"]
}
Documentation
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