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"Methods to Extract Text Content from Videos" matching MCP servers:

  • methods-mcp

    webwebb56
    A
    license
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    quality
    D
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Apache 2.0

  • content-core

    lfnovo
    A
    license
    A
    quality
    B
    maintenance
    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
    2
    168
    MIT

  • Text-to-SQL MCP Server

    tmstack
    F
    license
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    quality
    D
    maintenance
    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
    15

  • mcp-from-api

    naansari
    A
    license
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    quality
    C
    maintenance
    An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.
    MIT

  • MCP from API

    abusedmedia
    F
    license
    -
    quality
    D
    maintenance
    Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.
    2,868
    3

  • mcp-text-editor

    tumf
    A
    license
    A
    quality
    C
    maintenance
    A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.
    6
    198
    MIT

  • Content Plan Builder

    smcdonnell7
    F
    license
    A
    quality
    D
    maintenance
    An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.
    1

  • MedAdapt Content Server

    ryoureddy
    A
    license
    -
    quality
    D
    maintenance
    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
    7
    MIT

  • content-contracts-mcp-server

    MauricioPerera
    A
    license
    A
    quality
    C
    maintenance
    MCP server exposing content contract validators (SEO.md, PRODUCTHUNT.md, LINKEDIN.md) as tools so AI agents can verify generated content against concrete rules without maintaining linters. It provides linting and JSON-LD export tools with config and content passed as parameters, not file paths.
    4
    MIT

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0

  • Web Content Extractor MCP

    agenson-tools
    A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.
    5
    81
    MIT

  • content-validity-index-mcp

    cakrawala-tumbuh
    A
    license
    A
    quality
    B
    maintenance
    Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.
    11
    MIT

  • Docs-to-AI

    dorianmeric
    A
    license
    -
    quality
    C
    maintenance
    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    1
    MIT