"New York Times" matching MCP servers:

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

Convert PDF, DOCX, XLSX, images, and 20+ formats to Markdown using markdown.new API.

MCP server that enables semantic search over local PDF collections using local RAG, with automatic indexing of new documents.

An MCP server for reading, writing, and managing Korean Hangul Word Processor (HWP/HWPX) files. It allows users to extract content, fill templates, and create new documents directly through AI assistants.

Enables ChatGPT or other MCP clients to consult explicitly configured local repositories and worktrees, search and read UTF-8 text, optionally access authorized Codex conversation history, and write new Markdown candidates only after confirmed preview.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables AI assistants to extract and analyze text content from various document formats (PDF, DOCX, PPTX, XLSX) in local knowledge bases, and create new formatted Word and Excel documents with structured data and reports.

Scaffolds new project directories from built-in templates for Python, Node.js, and Go via MCP tools.

A self-learning knowledge layer for local LLM chat that answers questions from Markdown files, writes new knowledge back every turn, and provides grounding verdicts.

Enables querying and managing daily store sales data stored in CSV files, including listing available dates, retrieving raw sales data, computing daily and per-item statistics, and saving new daily sales data.

Watches local and SMB folders for settled new files and pushes them into the Renfield knowledge base and Paperless over REST; also provides interactive MCP tools for browsing and on-demand file ingestion.

A Model Context Protocol server that connects Claude and other MCP clients to Aider, enabling AI assistants to efficiently edit files, create new files, and interact with git repositories through natural language.

Snapshot-based file editing for AI agents. Enables safe file edits by sending only new content against immutable, content-addressed snapshots with 3-way merging and ambiguity protection.

A local-first MCP server that builds compact voice profiles from writing samples, then compares, rewrites, or generates new text in that voice.

Analyzes file access times, duplicates, and sizes to identify rarely used files and suggest cleanup for folder restructuring.

Provides secure filesystem operations, including reading, searching, and batch processing files, with directory monitoring to detect new files, designed for integration with MCP clients such as LangGraph agents.

Enables Claude to read, search, and create TabTree mind maps and boards from local backup folders, and propose changes as new files without modifying existing maps.

Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.

Enables MCP clients to list, read, and batch-process resume and job description files, watch directories for new uploads, and save reports, with sandboxed access to recruitment data.

MCP server for AI-powered resume optimization and generation. It enables clients to optimize existing resumes or generate new ones from background info via LLM, producing formatted .docx and .pdf files.