"Methods to Extract Data from Files" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

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.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

MCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

A paid MCP server that extracts structured product data (schema.org/Product) from any URL via headless browser, charging $0.01 USDC per call through x402 micropayments.

A local stdio MCP server for managing files on XServer via SFTP, enabling secure file operations, backups, and workspace management for XServer hosting.

Provides deterministic, schema-driven structured data extraction from PDF documents via regex/heuristic matching, enabling repeatable, inspectable, and cost-free field extraction without LLM API calls.

Enables extracting precise data from web pages by parsing the DOM with CSS selectors and returning structured JSON, while also offering tools to inspect page structure, discover candidate selectors, and verify them without loading full pages into context.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.

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.

Enables ChatGPT/Codex to read, search, and edit files in a single allowed folder on Windows through OpenAI Secure MCP Tunnel.

MCP server that turns video URLs into transcripts and important keyframes locally, with no cloud or API keys.

Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.

Enables OCR text extraction from images via URLs or base64, with pay-per-call using x402 micropayments (USDC on Base L2).

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

Enables read-only listing and reading of files in an Azure Files SMB share, enforcing each user's NTFS permissions per request.