Enables access to Coinpaprika cryptocurrency data, including coin listings, prices, historical OHLC, market overview, and search through MCP tools.
An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.
Data compression MCP server with auto-algorithm selection (gzip, brotli, deflate). 7 tools for compress, decompress, analyze, store, retrieve, list, and stats. Achieves 60x compression on docs, 30x on SQL. Lossless round-trip verified. Zero dependencies.
An orchestration system that coordinates multiple MCP servers to eliminate AI session startup overhead through intelligent project caching. It enables instant context loading and conversation continuity by synchronizing data across Memory, Filesystem, Git, and Database MCPs.
Enables direct access to raw Markdown content from files or directories without processing. Perfect for providing AI models with business rules, documentation, or knowledge bases exactly as written.
Enables AI agents to fetch, search, and retrieve markdown content from remote Git repositories. Supports both public and private repositories with authentication, allowing AI assistants to access documentation and notes stored in Git.
A Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from the conversational context, with RAG active recall question generation and Notion integration.
安装状态
已补齐
命令预览
/path-to-uv/uv --directory /path-to-project/mcp-cornell-resume run main.py {}
Provides real-time and historical cryptocurrency market data from major exchanges through CCXT. Supports live price lookups, historical OHLCV queries, and includes lightweight caching for improved performance.
全面解析MCP NotesMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,MCP Notes能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
pip install MCP
A teaching repository that instructs non-technical users how to create Model Completion Protocol (MCP) servers for data analysis tasks, requiring only basic technical setup and understanding.
Enables loading and statistical analysis of .xlsx and .csv files with visualization capabilities using matplotlib and plotly to generate various graphs and charts.
Enables SQL Server database operations (queries, table management) and file system access (read, write, directory listing) with security controls. Supports comprehensive database interactions and file management through a unified MCP interface.
Enables AI agents to query and explore databases including SQLite, PostgreSQL, MySQL, and SQL Server through a secure, read-only workflow. It provides tools for listing connections, inspecting table schemas, and executing SELECT statements directly within VS Code.
A Model Context Protocol server that provides tools for interacting with databases, including PostgreSQL, DuckDB, and Google Cloud Storage Parquet files.
Provides Claude with direct access to databases including SQLite, SQL Server, PostgreSQL, and MySQL, enabling execution of SQL queries and table management through natural language.
Enables AI assistants to interact with PostgreSQL databases through query execution and schema inspection, supporting multiple schemas for customer data, document management, loan systems, and asset leasing.
This server provides database access capabilities to Claude, supporting SQLite, SQL Server, PostgreSQL, and MySQL databases.
This server provides database access capabilities to Claude, supporting SQLite, SQL Server, PostgreSQL, and MySQL databases.
Enables interaction with SQLite databases through natural language, supporting SQL queries, CSV imports, and schema exploration.
Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.
