Fetch large web documents in chunks by specifying a chunk index and size. Returns content along with metadata about total chunks for paginated reading.
MIT
450,539 tools. Updated 2026-08-12 19:34
"A server for reading documents" matching MCP tools:
- Search your Rootr workspace to locate relevant documents for reading or editing.MIT
- List all available documents in the configured directory with format detection and metadata including filename, pages, and size. Discover documents before reading or searching.MIT
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Create a new document collection to organize related documents and enable semantic search across their contents. Returns a collection ID for managing documents.MIT
- Load a genome profile into the remote server using a unique code obtained from the upload command.MIT
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Matching MCP Connectors
Congressional Documents — full-text search and retrieval over the official
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- Retrieve a curl command to upload a local RDF file to the server and obtain an upload_id, avoiding AI file reading to reduce token usage.MIT
- Index documents with IDs and metadata in a named collection on the server to enable semantic search. Pay per call with Kaspa.MIT
- Capture a complete Claude Code session as a capsule by reading the on-disk .jsonl transcript. The server reads the file directly, no need to pass messages.MIT
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- Retrieve a specific post from the VeBetterDAO Discourse forum using its post ID. Enables reading detailed replies or comments.MIT
- Retrieve a list of all documents in your Shortcut workspace for easy access and management.MIT
- Retrieve a list of all uploaded and processed documents for a specified volume. Use this to view documents stored in a shared memory volume.MIT
- Create a knowledge folder for organizing documents, enabling subsequent uploads via UI or API.MIT
- Enables adding text documents to a Chroma collection with optional metadata. Specify collection name, document IDs, and content for efficient data storage and retrieval.Apache 2.0
- Search for documents or knowledge bases in Yuque by keyword and type.MIT
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