TablaFocusMCP

TablaFocusMCP

Unifies glossary lookup, composition design and validation, certification preparation, practice planning, and taal explanation for tabla learning into a single MCP interface.

Category
Visit Server

README

TablaFocusMCP

CI Release License

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).

<p align="center"> <img src="assets/tablafocus-mcp-icon.png" alt="TablaFocusMCP icon" width="420" /> </p>

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:

  1. Explain teental for a beginner, including vibhag structure, sam, and khali.
  2. Generate a valid 1-cycle tihai in teental (chatusra) and show the beat-by-beat mapping.
  3. Create a weekly tabla practice plan for 45 minutes/day, 5 days/week, focused on clarity and layakari.
  4. Build a 15-question ABGMVM Madhyama Pratham mock test with answer key and short rationales.
  5. I have a tihai idea for teental. Help me refine it so it resolves cleanly to sam in 1 cycle.
  6. 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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured