Data & Analytics

An MCP server that integrates with IBM Watson Discovery to enable AI assistants to perform natural language queries and manage enterprise knowledge bases.

MCP (Model Context Protocol) Server. Integrates with Kakao's mapping APIs to provide location information within South Korea, enabling address geocoding, place searching, and detailed location data retrieval including reviews and photos.

A Model Context Protocol server that enables natural language interaction with Snowflake databases through AI guidance, supporting core database operations, warehouse management, and AI-powered data analysis features.

MCP server for MySQL and MongoDB databases. One instance per database, no Docker required.

Italian open data: municipalities, provinces, regions, postal codes, coordinates.

MCP (Model Context Protocol) Server. Integrates with GitHub repositories to enable repository searching, issue management, and pull request handling through authenticated API endpoints that format data for easy access within conversations.

MCP (Model Context Protocol) Server. Enables AI systems to explore and understand graph structures in Raphtory databases through GraphQL schema queries, property relationship analysis, and detailed information retrieval for effective query construction.

Provides tools to query Dutch vehicle registration data through the official RDW open API, allowing users to look up vehicle information by license plate, retrieve fuel/emissions data, and search vehicles by brand and model.

Provides access to comprehensive weather data including real-time conditions, forecasts, historical weather, marine data, astronomy information, and weather alerts through the Weatherapi.com API.

Enables control system analysis and testing through PID controller evaluation against second-order plants. Provides regression testing utilities with step response analysis, gust rejection metrics, and settling time calculations for control engineering applications.

A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.

An MCP server that enables Claude to list, search, and analyze sales call transcripts to extract actionable business intelligence and customer insights.

Verified GPU specs for AI agents. 1600+ GPUs, fuzzy matching, bounty links.

Enables AI assistants to interact with Umami Analytics for both Cloud and self-hosted instances. It provides tools to retrieve website statistics, visitor metrics, pageview trends, and real-time active user counts.

MCP (Model Context Protocol) Server. Retrieves and processes YouTube video transcripts and playlist metadata, enabling content analysis without manual transcription or viewing.

Clean FDA regulatory data: company resolution, facilities, recalls, inspections, approvals.

13 pay-per-call endpoints: market data, AI tools, crypto analytics. USDC on Base.

MCP server for Drosophila neuroscience data from VirtualFlyBrain

MCP (Model Context Protocol) Server. Enables direct interaction with MongoDB databases for querying, modifying, and managing collections, documents, and indexes using MongoDB's native query syntax.

Exposes Kunobi's application data and store querying capabilities to AI assistants by bridging stdio to Kunobi's local HTTP MCP endpoint. It features dynamic tool discovery and automatic reconnection to ensure tools like query_store and app_info are always available when Kunobi is running.

Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.

Exposes tools from the Ecuro Light API for managing clinical appointments, patient records, and clinic availability. It enables users to perform healthcare management tasks such as scheduling, patient search, and report generation through MCP-compatible clients.

A specialized MCP server that provides institutional-grade financial data and market research via the Finnhub API. It enables AI agents to function as equity researchers, generating professional market reports and high-fidelity analysis for stock tickers.

A production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.

Enables interaction with Google Sheets, Docs, and Drive to manage spreadsheets, documents, and files. It supports operations like reading and updating cell data, extracting text from documents, and searching or sharing files within Google Drive.

An MCP server that connects AI assistants to Anaplan's Integration API v2, enabling users to browse workspaces, manage model data, and execute bulk operations like imports and exports. It provides 25 structured tools to navigate model hierarchies and perform transactional tasks through natural language.

Enables AI assistants to interact with SQL Server Data Warehouses using natural language for automatic schema discovery and report generation. It ensures security by restricting operations to read-only SELECT queries through both code validation and database permissions.

An AI-powered treasury management MCP server that enables users to perform commercial banking analysis, including cash flow forecasting, idle cash detection, and debt covenant monitoring. It provides tools to surface financial insights and optimize working capital through automated processing of bank and transaction data.

Provides access to a suite of Nordic data tools covering Danish business records, addresses, weather, and energy prices, alongside Norwegian and Finnish company information. This unified server enables users to query public APIs for regional data across Denmark, Norway, and Finland without requiring individual API keys.

Enables LLMs to scrape, index, and search modern and legacy Salesforce documentation by piercing complex Shadow DOM and iframe structures. It supports hierarchical spidering of entire guides and local RAG capabilities using a SQLite database for offline querying.