"namespace:.run.mcpize.bintu-web-reader" matching MCP servers:

Enables AI assistants to load and interrogate very large local PDFs, Word/WPS-atypical trademark-noise eliminated naturally recognisable document families... Wait malformed intentional-looking contamination abs——

Enables ChatGPT's web interface to search and read explicitly approved local project files for analysis and planning, with read-only access and no file writing, deletion, or shell execution.

A simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.

Enables ChatGPT web to use local tools like file reading, command execution, and patch application through an MCP server over OpenAI Secure MCP Tunnel.

Enables listing image files in a directory and reading their content as base64 for display.

An MCP server that enables AI assistants to read, search, and analyze PDF files from local paths or URLs. It provides tools for extracting specific page ranges, searching for terms, and retrieving document metadata.

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 the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.

Enables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.

Transform any local file into AI-optimized markdown format for seamless integration with Claude Desktop, Claude Code, and other MCP clients.

A server that provides tools for reading and processing PDF documents, allowing users to list available PDFs and extract their content in Markdown format.

MCP server for reading Excel files (.xlsx, .xls) without requiring an API key. It returns row/column counts, column names, and a preview of the first five rows via the read_excel tool.

Local MCP server bridging ChatGPT Web to local tools for file, shell, git, test, and process management with secure policy controls.

Reads PDF, image, or video files by sniffing format and delegating to specialized sibling MCP servers, extracting facts and metadata without LLMs.

Enables reading and analysis of PDF, Excel, Word, and PowerPoint files through the Model Context Protocol, supporting content extraction, document search, and file upload.

MCP server for AI-assisted PDF reading with pagination, search, and page navigation.

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

Enables local code execution via Codex (Luna) through MCP, using ChatGPT Web conversations as a planner. Provides file, terminal, and code execution tools while keeping long-running jobs manageable.

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.

A high-performance Model Context Protocol server that enables AI agents to extract text, images, and metadata from PDF documents using parallel processing. It features intelligent Y-coordinate content ordering to preserve natural reading flow and supports both local files and URL-based sources.