"ZDF" matching MCP servers:

Enables read-only access to ZDF heute news from zdfheute.de, including latest headlines, news by topic, keyword search, and full article text retrieval.

Enables searching and browsing German Mediathek programmes across ARD, ZDF, 3sat, ARTE, Phoenix and other channels, including latest broadcasts, channel or topic filtering, programme details, and direct video/subtitle links through a read-only API.

An MCP server for local PDF inspection that classifies, searches, extracts text and tables without uploading documents or relying on OCR, surfacing reliability warnings for garbled or scanned content.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables a persistent local library for mathematical PDFs with cached LaTeX extraction, full-text search in English and Greek, and page/image retrieval over MCP.

A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.

An MCP (Model Context Protocol) server that provides structured access to ISO 32000 (PDF) specification documents. Enables LLMs to navigate, search, and analyze PDF specifications through well-defined tools.

Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.

Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.

Exposes semantic search over a folder of indexed PDF guides as a tool that Claude Code or any MCP client can call. Returns the closest matching passages with relevance scores, source file and page citations, so the client can answer questions about the guides while knowing when nothing relevant was found.

A local RAG MCP server for PDF development experience, enabling document ingestion, semantic search, and Q\&A with source citations using TF-IDF and cosine similarity.

Enables assistants to search a Zotero library, retrieve metadata and PDF text, and view PDF pages as rendered images so figures and layouts are visible.

An MCP server providing comprehensive PDF processing capabilities with 18 tools for text extraction, OCR, image conversion, metadata management, and optimization.

A Model Context Protocol server that enables AI assistants to read PDF files, extract text, retrieve metadata, read specific pages, and search within PDFs.

A Model Context Protocol server that enables AI agents to read, search, and extract content from PDF files.

MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.

A Model Context Protocol (MCP) server that provides powerful RAG (Retrieval-Augmented Generation) capabilities for PDF documents. This server uses ChromaDB for vector storage, sentence-transformers for embeddings, and semantic chunking for intelligent text segmentation.

Builds searchable SQLite databases from PDFs, preserving inline image locations for AI agents to discover and caption visual content. Supports full-text search over text, image placeholders, and saved captions.

Enables AI agents to securely read and navigate team documents across local directories, configured Windows network shares, and OneDrive/SharePoint folders, with resumable SQLite indexing, version-aware evidence retrieval, and a verified local Wiki.

The local PDF workflow for Claude Desktop and MCP hosts: fill, sign, merge, split, extract, and analyze PDFs without sending files to a web app.

A hosted MCP server that provides a single read-only tool for consulting official NFC-e fiscal document querying of Brazilian tax document issuance of the official tax document of the official tax official of the official source of the official official official of the official official official tax data from the official SEFAZ DF, enabling users to query NFC-e tax documents through natural language in any MCP-compatible client.

Enables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.

Enables finding upcoming events across the Île-de-France / Greater Paris region, including Paris and its suburbs, with filters for keyword, city or commune, free admission, and date window, returning results sorted by start date.

Enables agents to search local component-manual corpora via hybrid semantic, full-text, and substring retrieval with table recognition and OCR fallback for scanned pages. Provides tools for literal/regex grepping, reading single or multiple pages, navigating bookmarks and outlines, listing categories and indexed files, and checking index and dependency status.

Enables LLM agents to query a bi-temporal property graph using verified temporal operators via MCP, with auditable claims and correction-aware time travel.

MCP server for comprehensive PDF processing including text extraction with OCR, keyword search with regex, table extraction, and page preview as Base64 PNG images.

An MCP server that enables intelligent search and retrieval of QuantConnect documentation by converting PDFs into searchable markdown. It provides tools for context-aware search with TF-IDF scoring and allows for listing and retrieving full document content.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Provides read-only MCP tools for hybrid semantic and keyword search over locally indexed PDF documentation, with citations and context retrieval for LLM agents.

Enables AI agents to extract PDF text, search with PDF++ citations, access vault files, manage tags, and run Dataview queries in Obsidian via MCP.

Enables AI assistants to interact with PDF documentation files stored locally. Provides tools to list, read, search, and extract metadata from CRM API documentation PDFs through natural language queries.