Keboola MCP Server

Supabase MCP Server

Official Remote

Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.

DBHub (Universal Database Gateway)

Official

Provides a universal database gateway for connecting to PostgreSQL, MySQL, SQLite, and DuckDB, enabling table browsing, schema inspection, and read-only SQL queries with built-in safety checks

Enables direct SQL query execution and database connections to MySQL databases through a simple interface that returns results in JSON format.

Svelte

Official Remote

Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.

Provides read-only access to PostgreSQL databases with enhanced multi-schema support, enabling schema inspection, query execution, and isolation across multiple namespaces.

Connects to Odoo ERP systems via XML-RPC to enable searching, reading, creating, updating, and deleting business records with smart field optimization and comprehensive access controls for business process automation and data analysis workflows.

Integrates with AWS SDK to execute SQL queries against Athena databases, enabling large-scale data analysis and business intelligence for AWS data lakes.

Provides a bridge to PostgreSQL databases for executing SQL queries, managing tables, and inspecting schemas with support for prepared statements and multiple parameter styles

Integrates with Neo4j graph databases to enable natural language querying, node creation, and complex graph operations for knowledge exploration and data relationship modeling.

Connects to InfluxDB time-series databases for querying measurements, writing data, and managing buckets through a bridge that exposes database functionality via tools and resources.

Integrates with DART and KRX APIs to provide Korean stock market data including company information, trading data, financial statements, and disclosure documents for KOSPI, KOSDAQ, and KONEX markets.

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KOSPI/KOSDAQ Stock Data

Remote

Integrates with pykrx to provide real-time access to KOSPI and KOSDAQ stock market data, offering tools for retrieving ticker symbols, OHLCV data, market capitalization, fundamental metrics, and trading volumes.

Ahrefs

Official Remote

Integrates with Ahrefs' SEO and marketing APIs to provide rank tracking, keyword research, batch analysis, search volume data, and competitor insights for search marketing intelligence workflows.

Securely extracts text, metadata, and page information from PDF files within a project directory using pdfjs-dist for both local files and remote URLs.

Meta Ads

Remote

Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.

Integrates with Google's Gemini CLI to leverage massive token windows for analyzing large files and codebases, providing general queries, sandbox-mode code execution for safe testing, and structured response handling with behavioral flags for context control.

Excel

Unlock powerful Excel automation with this MCP server that reads and writes Excel files effortlessly. It supports text, formulas, sheet creation, and works with XLSX, XLSM, XLTX, and XLTM formats. Windows users benefit from live editing and screen capture features. The server offers tools to describe sheets, read cell ranges with pagination, write values or formulas, create tables, and copy sheets. Configurable paging limits help manage large data efficiently. Designed for seamless Excel data manipulation, it enhances workflow automation and integration with other systems through the Model Context Protocol.

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AKShare Chinese Stock Market

Remote

Provides access to Chinese stock market data including historical prices, real-time information, financial statements, and news from sources like Eastmoney, Sina, and Xueqiu.

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Mempool.space

Remote

Integrates with mempool.space APIs to provide real-time Bitcoin network data including transaction details, block information, address balances, mining statistics, and fee recommendations for developers and traders.

Integrates with the Hyperliquid SDK to provide real-time cryptocurrency market data, including mid prices, historical candlesticks, and L2 order book information for traders and analysts.

KevoDB MCP Server

Official

Implements a Multimodal Communication Protocol server for KevoDB, allowing AI agents to interact with the key-value database through a standardized API with support for core operations like get/put, scans, transactions, and batch operations.

Supabase MCP Server

Official Remote

Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.

A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.

YepCode MCP Server

Official

An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.

Enables AI assistants to discover and integrate new capabilities by providing tools for searching, retrieving details, and configuring MCP servers across various applications.

BioContextAI Knowledgebase MCP

Official

An MCP server that provides standardized access to biomedical knowledge bases and resources, enabling AI systems to retrieve verified information from sources like bioRxiv, EuropePMC, and various protein/gene databases.

An MCP server that enhances AI agents' coding capabilities by providing zero hallucinations, improved code quality, security-first approach, high test coverage, and efficient context management.

Rasdaman MCP Server

Official

Enables natural language interaction with rasdaman multidimensional databases by translating tool calls into WCS/WCPS queries. It allows users to list coverages, retrieve metadata, and execute complex queries on datacubes through an LLM.

A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).

An MCP server that enables AI assistants to manage Docker containers, images, networks, and volumes through a standardized interface. It supports comprehensive operations like container lifecycle management and image pulling while ensuring correct handling of command and environment variable arrays.