# Data Query

The MCP service based on Superset implements large - model data query

A service that provides a standardized MCP interface for Chess.com's public data API, supporting queries for player profiles, game records, etc.

An MCP server designed for Prometheus, which supports LLMs to retrieve and analyze metric data through tool functions.

The Pica MCP Server is a Model Context Protocol server built on TypeScript, providing the Pica platform with the ability to securely connect AI assistants to external tools and data sources.

This project is an Apollo.io API server based on the MCP protocol, providing functions such as personnel/enterprise information query and job search. It encapsulates the Apollo.io API into a standardized tool through the FastMCP framework.

An MCP server that provides a standardized interface to access Holaspirt data, supporting queries for various information such as organizational structure, tasks, and meetings.

The Naver MCP Server is an implementation of the Naver OpenAPI service based on the Model Context Protocol (MCP), providing interaction tools for multiple Naver services.

A TypeScript - based MCP server that supports direct interaction with Azure Table Storage through the Cline, providing functions for querying, managing, and analyzing data.

PlayFab MCP Server is a middleware that enables large - language models to directly interact with PlayFab services, achieving secure and efficient data query and management.

The BigQuery MCP Server is a protocol server that provides Google BigQuery access services for large language models, supporting functions such as query execution, dataset management, and table structure analysis.

This is a Node.js-based MCP server project that provides a query interface for U.S. National Park Service data.

An MCP server designed for Prometheus, enabling LLMs to retrieve and analyze metric data through predefined routes.

A Model Context Protocol (MCP) server that connects to the Domo API, providing dataset metadata query and SQL execution functions.

Pokime is an MCP server that provides services for real-time querying of Pokémon data and anime information, supporting Pokémon attribute comparison and retrieval of multi-season anime metadata.

A JavaScript implementation of the Axiom MCP server that supports data query through APL

The Grafana MCP Server provides access to Grafana instances and their ecosystem, supporting functions such as dashboard search, data source query, and incident management.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

The MedixHub MCP Server is a model context protocol service based on JavaScript, integrating medical and health API access functions, providing standardized function execution, parameter verification, and LLM integration, and supporting various medical data queries such as OpenTarget, FDA drug labels, and Monarch databases.

A minimalist MCP server for interacting with Bauplan data tables and executing queries. Supports functions such as listing table structures, getting table schemas, and running SQL queries.

This is a Pokémon data query MCP server based on PokéAPI, providing tools for obtaining various Pokémon-related information.

This project provides a server for interacting with the Israeli government's public APIs, supporting quick installation and various data query functions.

The Typesense MCP Server is a server that implements the Model Context Protocol (MCP), providing AI models with the ability to access Typesense search capabilities and supporting the discovery, search, and analysis of data in Typesense collections.

The Honeycomb MCP server is an interface that enables Claude AI to interact with the Honeycomb API via the Model Context Protocol (MCP), allowing operations such as retrieving, creating, and updating datasets.

Integrated MCP service framework for ClickFunnels and Claude Desktop

The Elasticsearch MCP Server project enables natural - language interactive queries of Elasticsearch data through the Model Context Protocol (MCP).

A simple MCP server that provides access and management functions for notes stored in a specified directory.

An MCP server based on the InfluxDB OSS API v2, providing data query, writing, and management functions

This project is a bridging service that connects Hasura PromptQL with AI assistants (such as Claude), enabling natural language query of enterprise data through the Model Context Protocol.

An MCP server implementation for the DataForSEO API, supporting queries of various search engine data

This project is an MCP server implementation based on ODBC, providing large language models with the ability to transparently access ODBC data sources and supporting multiple database query tools and format outputs.