mcp-data-metadata
Verified Safeby alcides-nolasco
Overview
Extracts metadata, statistics, and data samples from various file formats (CSV, Excel, JSON, Parquet) to enrich the context for language models or AI agents.
Installation
python mcp_server.pySecurity Notes
The server primarily uses established data processing libraries (Pandas, PyArrow) which are generally robust. No 'eval' or direct network risks were identified in the core server logic. The `start_mcp.sh` script modifies user shell configurations and VSCode settings, which is standard for setup but requires user awareness. File path handling relies on the client, so processing untrusted or malformed files could lead to library-specific issues, but not direct server RCE.
Similar Servers
mcp
This server provides Hyperbrowser's Model Context Protocol (MCP) interface, offering tools for web scraping, structured data extraction, crawling, and general-purpose browser automation using AI agents like OpenAI's CUA and Anthropic's Claude Computer Use.
consult7
Enables AI agents to analyze extensive file collections (e.g., codebases) using large context window models via OpenRouter, overcoming agent context limits.
aleph
Aleph is an MCP server that provides LLMs programmatic access to gigabytes of local data without consuming context, implementing the Recursive Language Model (RLM) architecture.
mcp-server-datahub
Enables AI agents to interact with DataHub for comprehensive data discovery, governance, lineage exploration, and SQL query generation across an organization's data ecosystem.