# Data Query

The Fibery MCP Server provides integration between Fibery and LLM providers supporting the MCP protocol, allowing users to interact with the Fibery workspace through natural language.

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

MCP Servers Schemas is a project that provides various MCP server definitions. Users can quickly obtain the latest server information and tool definitions without local installation.

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

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.

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.

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

The MCP Server based on OSSInsight.io, providing GitHub data analysis and open - source ecosystem insights

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

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.

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.

The IMF Data MCP Server is a toolset that integrates the free data APIs of the IMF, providing functions for querying and processing economic data.

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

Integrated MCP service framework for ClickFunnels and Claude Desktop

The Fugle Market Data MCP server provides functions for querying real-time and historical stock market data.

The Coinmarket MCP server implements some endpoints of the Coinmarket API and provides cryptocurrency data query services

Implementation of Coinmarket API Service

The ActivityWatch MCP Server is a middleware that connects to the time - tracking tool ActivityWatch, allowing LLM models like Claude to access users' time - tracking data through a standard protocol.

A secure Microsoft SQL Server database interaction protocol server that provides structured database access functions

This is an MCP server based on FastAPI, providing baseball data query functions from MLB and Fangraphs through the pybaseball library, including player data, team statistics, and league leaderboards.

An implementation of the MCP protocol server based on the traQ data source, allowing LLMs to obtain and utilize traQ's message, channel, and user information.

A Model Context Protocol server implemented for the Axiom data platform, supporting AI agents to access data through the APL query language

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.

The Northbeam MCP Server is a Model Context Protocol service for accessing Northbeam marketing analytics data, providing functions for querying metrics, dimensions, channel performance, cohort analysis, and attribution data.

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.

A community-maintained MongoDB MCP server that provides read-only access to MongoDB databases, supporting collection schema checking and aggregation pipeline execution.

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

An MCP server for processing Building Information Modeling (BIM) files, providing functions for converting IFC files to Fragment format, loading Fragment files, and querying BIM data by category.