"Cargo Doc" matching MCP servers:

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.

Enables large language models to refine Office documents (Word, Excel, PowerPoint) via interactive visual selection of text and fine-grained prompt annotations in a browser window, with version history and precise location-based edits.

Enables AI agents to perform safe, semantic edits on Markdown and DOCX documents through a normalized model with staging, diff review, and stale-edit protection.

Enables local-first document versioning with content-addressable storage, word-level AST diffs, and AI-compliance auditing for LLM agents.

MCP server for creating and reading Word (.docx) documents with rich formatting support.

Enables searching Word documents on remote FTP/FTPS servers by keyword, returning matching files with context snippets.

Enables AI agents to generate PDFs from Markdown or URLs, extract text, merge documents, and perform text conversions via the Model Context Protocol.

Enables trusted local AI agents to create, inspect, edit, save, reopen, and export isolated headless KiCad 9 PCB board files, including native design-rule-check reports, through typed MCP tools. Operations are bounded to native pcbnew and kicad-cli calls within a single explicit trusted workspace, with no arbitrary script execution, live PCB Editor control, or IPC access.

Enables AI assistants to create, edit, and extract data from Microsoft Word documents programmatically, supporting document creation, content editing, table manipulation, parameter extraction, and template generation.

MCP server for indexing, semantic search, and generation of multi-format documents. Exposes 13 tools over JSON-RPC 2.0 so an LLM can search your local PDF, Excel, and Word files, and create or edit Excel and Word documents.

Enables AI agents to read, edit, and create Microsoft Word documents (.docx) with support for rich text, tables, and images, deployable locally or via SSE.

An MCP server for document analysis that provides 21 tools for reading, text analysis, summarization, and data statistics, enabling AI clients to process and understand documents efficiently.

Enables AI assistants to read and extract text content from PDF, Excel, and Word documents via the Model Context Protocol.

Provides MCP tools to count, list, and read local documents in formats like PDF, DOCX, Excel, HTML, and TXT, enabling natural language-driven document statistics and content inspection via qwen_agent.

Enables Google Antigravity agents to quickly inspect and read PDF, Word, Excel, PowerPoint, and text documents, extracting structure and content as token-efficient Markdown.

A proof-of-concept MCP server that enables LLMs to read local text files and fetch real-time weather data through external tools.

MCP server for reading and writing .docx files. Exposes four paginated tools so agents can batch-read document content and styles, write content, and union style definitions.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

Enables local .docx files to be managed with verified writes, returning before/after evidence for every mutation, plus PDF export and lock/sync status checks.

Enables AI agents to read and edit Word (.docx) and PDF documents with byte-level fidelity, using minimal in-package rewrites for DOCX and text-layer detection with page rendering for PDF, including OCR-free handling of scanned files via image output.