"Information about ECharts - a data visualization library" matching MCP servers:

An MCP server that enables searching for specific files by name within the current directory and its subdirectories. It uses Server-Sent Events (SSE) to provide a find_file tool for locating local files and libraries.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

MCP server for privacy-gated local Apple data access including Mail, Messages, Notes, Calendar, Contacts, Photos, Reminders, Voice Memos, and iCloud Drive.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Profiles authorized local datasets into inspectable Data Context for AI assistants, with optional local model-assisted interpretation.

MCP server for querying work checkpoints and storing finalized timesheet reports in SQLite.

MCP server that enables searching books by author via Open Library API and searching keywords inside local text files.

Enables read-only access to company data across PostgreSQL, MongoDB Atlas, and flat files through MCP tools, allowing AI assistants to query and retrieve information via natural language.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

MCP server for VAST Data administration, enabling AI assistants to monitor, list, and manage VAST clusters.

This server is to precess files for LNR.

Exposes DME storage O&M actions as MCP V1 tools, enabling management of storage modules such as SAN, NAS, and storage via natural language. It provides per-module MCP endpoints and a root server to enumerate available tools.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables querying and managing daily store sales data stored in CSV files, including listing available dates, retrieving raw sales data, computing daily and per-item statistics, and saving new daily sales data.

A simple Model Context Protocol (MCP) server that allows LLMs to create and manage user entries in a JSON file system database.

Enables AI assistants to turn music requests into traceable local DJ collections by scanning and indexing audio, planning tracklists, managing durable download jobs, and preparing hash-checked playlists, manifests, and experimental rekordbox exports for DJ app handoff.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.