mcp-smart-reader
Verified Safeby prefrontal-systems
Overview
Enables token-efficient interaction with large documents for LLM agents by providing automatic summarization and granular section extraction.
Installation
mcp-smart-readerSecurity Notes
The server's `smart_read`, `read_section`, and `list_sections` tools accept a `file_path` argument, allowing it to read arbitrary local files on the system where it's running. While this is core functionality for a document reader, it means the server should be run in a trusted, isolated, or sandboxed environment if exposed to untrusted input to prevent unauthorized file access. No 'eval', obfuscation, hardcoded secrets, or directly malicious patterns were found in the provided code.
Similar Servers
Matryoshka
Processes large documents beyond LLM context windows using a Recursive Language Model (RLM) that executes symbolic commands for iterative document analysis.
largefile
Navigate, search, and edit large codebases, logs, and data files that exceed AI context limits, using semantic code analysis and robust editing features.
comptext-mcp-server
Provides a token-efficient interface to Large Language Models (LLMs) by serving domain-specific language commands and documentation from a Notion knowledge base.
multi-agent-reviewer
A multi-agent system designed to review, analyze, and summarize academic research papers by leveraging LLM-based agents and PDF/ArXiv processing.