# Data query

An MCP server that provides access to Azure Data Explorer clusters, supporting functions such as querying table data and obtaining table structure

This is an Axiom MCP server implemented in JavaScript, used to query data through the Axiom Processing Language (APL). It provides the same functionality as the official Go version but is packaged as an npm module for easy integration into a Node.js environment.

An MCP server project based on PokeAPI for obtaining Pokémon information, including basic attributes, Pokémon sprites, and other data.

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.

MCP service for obtaining country information via the CIA Factbook

A Google Play Store review analysis server based on the Model Context Protocol (MCP), providing functions such as review query, keyword search, reply management, and automated analysis.

An MCP server based on Trino that provides table query and SQL execution functions

An AACT clinical trial database query service based on the FastMCP framework

The MCP protocol server for Elasticsearch 7.x, providing a compatible interface with the Elasticsearch 7.x version and supporting basic operations and advanced search features.

An MCP server that provides access to Azure Data Explorer clusters, supporting functions such as querying tables and retrieving table structures

A financial data crawler tool based on Playwright, supporting multi - website queries and the MCP protocol, providing table data crawling and large language model calling functions.

This is a .NET MCP server project for connecting Claude Desktop, the AEC data model API, and the Viewer, supporting queries of building data through natural language.

A GitHub Enterprise data query service based on the MCP protocol that allows AI agents to securely obtain enterprise license usage, user permissions, and other data through the API. It supports dual - transport mode and Kubernetes deployment.

A read-only MCP server developed by CData for Bullhorn CRM. It converts CRM data into a relational SQL model through the JDBC driver, enabling LLMs to query real-time data using natural language.

This project is an implementation of an MCP server based on ODBC, providing large language models with the ability to transparently access ODBC data sources through TypeScript and node - odbc. It supports multiple database management systems, including Virtuoso, and provides a rich set of tools for data query and management.

Brasil API MCP is a bridge connecting AI assistants with Brazilian public data services through the standardized Model Context Protocol, providing various Brazilian-related data query functions.

The BrasilAPI MCP Server is a unified interface service that provides queries for various types of Brazilian data, including postal codes, area codes, banks, holidays, and taxes.

The Clay MCP Server is a simple model context protocol server designed for the Clay platform, providing functions such as contact search, interaction record query, statistics acquisition, and contact management. It supports quick deployment via Smithery or manual installation and configuration.

An MCP server for accessing the SQLite database of the Cursor IDE, supporting AI assistants to explore project data, chat histories, and editor information.

CData's GitHub MCP Server project provides a read-only Model Context Protocol (MCP) server that connects to GitHub through the CData JDBC driver, enabling LLMs (such as Claude Desktop) to query real-time GitHub data in natural language.

The Kanta MCP server is a middleware based on the Model Context Protocol, used to expose the functions of the Kanta API v1.1 for AI assistants. It supports core functions such as customer management, user management, and personnel data query.

The Kanta MCP Server is a server based on the Model Context Protocol, which is used to expose the functions of the Kanta API to AI assistants through the MCP protocol, supporting functions such as customer management, user management, and personnel data query.

The HLedger MCP Server is a service based on the model context protocol that provides an interface for AI assistants to directly access HLedger accounting data and functions, supporting operations such as querying account balances, generating financial statements, adding new entries, and analyzing accounting data.

The FonParam MCP Server provides access to Turkish investment fund data for Claude Desktop, supporting functions such as fund listing, comparison, performance analysis, and company information query.

The Saleor MCP Server is a Model Context Protocol service designed for the Saleor e-commerce platform, allowing AI assistants to read product, customer, and order data through an HTTP connection and providing read-only API integration functions.

A server based on the Model Context Protocol (MCP) that provides integration with the Australian Up Banking API, allowing users to query financial data such as bank accounts, transaction records, and consumption categories through Claude.

An MCP server for obtaining, tracking, and processing announcements on the Bybit platform. It supports multi - language filtering, type filtering, and pagination queries, and returns results in a clear Markdown format.

This is an MCP server project that provides access to the official open data portal DATA.GOV.HK of the Hong Kong government, including various tools such as data set querying, category browsing, searching, and format filtering.

The IBGE Brazilian Geographic Statistics MCP server provides 23 professional tools to access Brazilian geographical, population, and statistical data, including state/municipal queries, economic indicators, censuses, map grids, etc., and supports caching and retry mechanisms.

This is an MCP server that provides access to the free Google Knowledge Graph API, allowing MCP clients like Claude to search for real - world entities (people, places, organizations, etc.) and obtain structured data.