MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

The Figma to Flutter MCP server helps AI programming assistants access Figma design data, generate Flutter code, export resources, and set up theme styles.

An MCP server for managing Label Studio projects, providing functions for creating, managing annotation projects, and importing/exporting data

The Heptabase backup data MCP service provides functions for searching, retrieving, analyzing, and exporting whiteboards and cards, supporting multiple format outputs and intelligent caching

This project is a Strava API bridge service based on TypeScript. It exposes Strava's sports data functions as tools callable by LLM through the MCP standard, supporting various sports data interaction functions such as activity statistics, route export, and heart rate analysis.

A tool for crawling interview questions from the LeetCode discussion area, especially focusing on Google interview questions. It supports organizing data by month and exporting it to CSV and Google Sheets.

The MCP server for Re:Earth CMS provides content management system integration functions, supporting asset management, comments, data export, project management, and model operations, etc.

PineMCP is a professional Model Context Protocol server that provides a unified and secure interface for multi-database access, supports multiple database types, and includes functions such as connection management, schema tools, data import/export, and query analysis.

An MCP server that provides comprehensive SQLite database operations, supporting database management, table operations, query execution, transaction management, and schema import/export, with multi-layer security protection and tool classification mechanisms.

Trackor is a custom MCP server and simple client built on FastMCP and Streamlit, providing an expense tracking tool that supports functions such as addition, deletion, modification, query, statistical summarization, and export. It uses an SQLite database and a JSON classification file.

This is an MCP server for the Microsoft Clarity data export API, supporting querying of Clarity analytics data through MCP clients such as Claude, including multi-dimensional filtering and acquisition of multiple metrics.

H1B visa job search MCP server, using real LCA data from the U.S. Department of Labor, providing functions such as searching for H-1B sponsoring companies, job analysis, and data export.

Isparta University OBS Student Information System MCP Tools provide functions such as secure login, academic data acquisition, grade analysis, course selection assistance, notification reminders, and data export to help students manage their academic information.

PySqlitMCP is a SQLite database management toolset based on the FastMCP framework, providing complete functions for database creation, table operations, data addition, deletion, modification, and query, backup and recovery, and data import and export.

This project demonstrates how to implement end - to - end distributed tracing between the MCP client and server, achieve call chain tracing across service boundaries through OpenTelemetry, and support exporting data to the Weave/WandB platform.

This is an MCP server developed for Claude AI, providing direct access to the NASA Astrophysics Data System. Users can search for papers, track citations, manage a literature library, and export references through natural language conversations, aiming to seamlessly integrate the astronomy literature database into the AI workflow.

A server based on the MCP protocol for generating Excel template files that comply with the JXLS specification, supporting both JSON and array data formats, providing a secure template generation service.

This is an experimental Observe MCP server project that provides API interaction capabilities with the Observe platform, including tools for executing OPAL queries, exporting worksheet data, and managing monitors. It enables semantic document search and troubleshooting manual recommendation through the Pinecone vector database, providing a secure data access bridge for technical LLM models.

A Python script for importing Supernotes' exported content into Obsidian's daily notes, processing data using the MCP protocol.

This project is an MCP server used to connect an AI model with the Brazilian foreign trade data API Comexstat, providing a query function for import and export statistical data.