"How to Get Transcripts from YouTube Videos" matching MCP servers:

Enables AI agents to convert CSV text into JSON arrays with automatic delimiter detection and optional header-row handling, accessed through a pay-per-call x402 micropayment API.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Converts JSON data to TOON (Token-Oriented Object Notation) format and back, reducing token usage by 30-60% for more efficient LLM applications.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Converts eFax documents (PDF, TIFF, CCD XML) from OpenText Fax Server Software into structured JSON format with OCR support, metadata extraction, and batch processing capabilities.

Enables read-only access to attribution and performance reports, event catalogs, and period comparisons for explicitly allowlisted apps via the Report Service API.

An open-source MCP server that imports HR CSV data into an in-memory SQLite database for structured querying and metadata retrieval. It enables users to perform read-only SQL queries and structured searches on employee data through natural language.

Enables Claude to list Iceberg tables and run read-only DuckDB SQL queries, including time travel by snapshot, with per-caller token authentication and audit logging.

An implementation that integrates with Odoo ERP systems, enabling AI assistants to interact with Odoo data and functionality through the Model Context Protocol.

Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.

An MCP server that allows AI models to create data visualizations using Vega-Lite syntax by providing tools to save data tables and generate visualizations from them.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

Enables LLMs to query live data from over 250+ sources via CData Python Connectors using natural language. Wraps connectors as a Model Context Protocol server.

Enables AI tools to query sports tournaments, leaderboards, predictions, and match stats from the Tulidu Sport platform.

Enables AI agents and developers to discover, inspect, run, and schedule live public social media data collection from 157 platforms, including Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu, and Douyin. It supports previews, cost quotes, async runs, and download links via remote MCP, an Agent Skill, or REST API.

Enables AI clients to access realtime quotes and K-line data from a running MyQuant terminal, including connectivity checks, symbol normalization, and historical/recent K-line queries. It bridges the terminal's Python SDK to MCP-compatible clients for technical analysis and review workflows.

Enables Claude to run SQL queries against Infor Compass (Data Fabric) directly from chat, with automatic export of large result sets to Excel.

Enables MCP clients to run Ingestron project operations such as creating reviewed data contracts, configuring flows, and generating data-engineering assets from versioned plugins.

Exposes Azure Databricks Jobs tools (list, run, get output) with Entra ID authentication and OBO flow for per-user context.

Enables Claude to query a Postgres analytics schema via a read-only MCP server, with tools auto-generated from live database introspection and configurable SQL queries defined in YAML.

Converts JSON data and system prompts to and from TOON (Token-Oriented Object Notation) format, reducing token usage by 30-60% when interacting with LLMs while preserving data structure.

Provides MCP tools that help AI agents get their bearings in a codebase with unified SQL views over code, git, docs, and conversations, powered by DuckDB.

Enables AI assistants to query and analyze data from Cube.js analytics platforms, allowing natural language access to cubes, measures, dimensions, and complex analytics queries.

Provides an instant MongoDB MCP server that can be used from any AI agent without local installation.

Enables Claude to interact with Qlik Cloud applications and extract data from visualizations through the Qlik Cloud API.