# Data Integration

The Shopify MCP Server is a tool for interacting with Shopify store data via the GraphQL API, providing management functions for products, customers, orders, etc.

The Graphlit MCP Server is an integration tool that connects MCP clients with Graphlit services, supporting the ingestion, processing, and retrieval of multiple data sources.

This project is an MCP server for the Google Search Console API, which provides search console functions in n8n workflows through the MCP client node, including listing sites, getting search analytics data, checking URL index status, etc.

The MCP plugin for the Keitaro TDS API provides tools for integrating with the Keitaro platform to manage advertising campaigns, traffic sources, conversion data, etc.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

This project is an MCP - protocol - based server that allows users to interact with their Audiense Insights accounts through clients like Claude to obtain marketing insights and audience analysis data, including demographic, cultural, influencer, and content engagement analysis.

The PostgreSQL MCP Server is an implementation based on the Model Context Protocol (MCP), which allows AI agents to interact with PostgreSQL databases through standardized interfaces.

A well - organized collection of Model Context Protocol (MCP) servers, covering enterprise support implementation, demonstration implementation, integration tools, community contributions, and development frameworks, aiming to provide developers with rich resources and tools.

The Targetprocess MCP Server is a standard interface based on the Model Context Protocol (MCP), enabling AI assistants to interact with the Targetprocess project management platform through a unified interface, providing functions such as data query, creation and update, and model exploration.

Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes server implementations with various functions, such as file system operations, database access, Git management, Slack integration, etc., and supports TypeScript and Python SDKs.

Pica MCP Server is a Model Context Protocol server built on TypeScript, which provides AI applications on the Pica platform with the ability to connect to external tools and data sources, supporting integrations with over 70 third - party services.

The Dremio MCP Server is a locally - run Model Context Protocol service that simplifies the integration of LLMs (such as Claude) with the Dremio data platform. It connects Dremio and the LLM front - end through configuration files, supports functions such as data schema discovery and workload analysis, and provides a quick installation and configuration guide.

The Verodat MCP server implements the model context protocol and provides a toolset for AI systems to seamlessly integrate with Verodat's data management capabilities.

An example application based on the MCP protocol for checking Airbyte connection status

Implementation of Verodat's MCP Server, providing data management integration capabilities for AI systems

MCP is an open protocol for standardizing the context of AI applications, similar to the USB - C interface in the AI field, enabling seamless connection between LLMs and various data sources/tools. It provides preset integrations, multi - model switching, secure data processing, and a standardized interface, supporting the construction of LLM - based intelligent agents and complex workflows.

The NASA MCP Server is a standardized interface server that provides a unified way for AI models to access various NASA data sources.

BLPAPI-MCP is an MCP server that provides financial data through Bloomberg's blpapi. It requires the Bloomberg Terminal to run to access the data. It supports integration with tools such as Cursor, Claude Code, and Aider.

An MCP server implementation for integrating with the Coda API, providing a toolset for document, table, and data management.