Retrieve a file or directory from a Docker container as a tar archive, writing directly to a host file to avoid base64 overhead for large data. Set overwrite to replace existing files.
MIT
530,294 tools. Updated 2026-09-07 20:14
"A server for reading files to provide context for writing large documents" matching MCP tools:
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Get complete file context: symbols, imports, exports, and dependent files. Includes cross-language calls and supports line ranges for reading large files in chunks.Business Source 1.1
- Reads all files in a folder to provide LLM context, extracting text content and media metadata, with filtering and size limits for efficient batch processing.MIT
- Delegate analysis of large or multiple files to a specialized CLI, receiving only the answer to preserve context.MIT
- Retrieve file/directory metadata including size, timestamps, permissions, and type. Check file size before reading large files to avoid memory issues.GPL 3.0
Matching MCP Servers
- AlicenseAqualityDmaintenanceEnables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.20177MIT
- AlicenseNot gradedqualityBmaintenanceProvides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.65Apache 2.0
Matching MCP Connectors
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.
- Get a presigned URL to upload large media files directly to R2 from a browser. Use for advanced uploads; for standard files, use upload_media instead.MIT
- List documents in any Tealfabric directory by path or tenant to locate and manage package files.Apache 2.0
- Read a source's full indexed content as Markdown, with repeated chunk context shown once. Provide filePath or source for the complete document; use read_chunk_neighbors for local context.MIT
- Send a file path and a question to analyze a file server-side. The file never enters your context window; returns analysis with metadata and token usage.MIT
- Read file content as plain text for direct copying into edit operations. Supports line ranges for large files and never returns credential files.MIT
- Read and extract text, annotations, and handwriting from reMarkable documents. Supports pagination and search for large files.MIT
- Push multiple files to a managed app's repository using server-side authentication. Supports inline content and staged uploads for large files, creating a single commit.MIT
- Retrieve markdown documents from mdshare for AI workflows. Specify an output path for large files to save content directly to disk with faster performance.MIT
- Retrieve attachment content as base64-encoded data from Outline documents. Enables AI tools to process PDFs, images, and files.MIT
- Filter large local text files by relevance to a query, returning verbatim line-numbered spans to keep context small.MIT
- Run a local Ollama model for summarization, extraction, and reformatting; reads files server-side so only the answer consumes your context.MIT
- Edit files in a GitHub repository and commit changes. Supports full file replacement or surgical search/replace edits. Defaults to dev branch; use main only for hotfixes.MIT
- Read raw source documents with automatic text extraction for PDF, DOCX, XLSX, PPTX, and plain text. Paginate by pages, sheet, or line offset.MIT
- Query project documents and business files to retrieve source-grounded answers and context. Returns ranked sections, retrieval diagnostics, and an answer pack with verification checks.MIT
- Fetch a paper's full text in pages to prevent context overflow. Specify page and size for controlled reading of large documents.MIT