Enqueue a background batch analysis for multiple documents, return a job id for progress polling and cancellation. Ideal for analyzing an entire manuscript or large document sets.
AGPL 3.0
260,211 tools. Last updated 2026-07-05 05:07
"A server for reading files to provide context for writing large documents" matching MCP tools:
- List all artifacts in a venture's context to inventory available files before reading or branching.MIT
- Pack relevant code and episodic context into a token-bounded block for prompt injection. Call before reading files to avoid wasting tokens.MIT
- Submit a document for asynchronous background NLP analysis including readability, entity extraction, and sentiment. Instantly receive a job ID to poll for results, ideal for large documents.AGPL 3.0
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Search across all Obsidian vault files for documents containing specific text queries, returning relevant matches with context.MIT
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MCP server for accessing curated awesome list documentation
- 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
- Upload local media files for server-side extraction and analysis, handling large PDFs, videos, audio, and complex formats beyond client capabilities.AGPL 3.0
- Read multiple files under a token budget to seed cache for search and grep. Returns diffs for modified files, full content for new ones, and skips large files when budget exhausted.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
- List all available Pine Script v6 documentation files with descriptions, organized by category. Use to select a file for further reading.MIT
- Delegate work to a cheaper model or summarize vault files. Large files are auto-delegated for summarization; small files returned directly.MIT
- Add markdown content to a Notion page; automatically handles API limits for large documents.MIT
- Retrieve attachment content as base64-encoded data from Outline documents. Enables AI tools to process PDFs, images, and files.MIT
- Retrieve a structured index of all context files to identify which documents to fetch before answering queries. Includes cache freshness metadata.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
- Retrieves staged git changes and runs secret scanning to provide context for generating commit messages. Must be called before writing any commit.MIT