Data & Analytics

A comprehensive MCP server that empowers AI agents to perform 60+ blockchain actions on Solana, including token deployment, NFT management, DeFi trading (swaps, perps, lending), and cross-chain bridging.

An AI-optimized MCP server providing semantic search over version-aware PostgreSQL manuals and opinionated best-practice skills for advanced schema design and database optimization.

AutoTS is an automated time series forecasting server that utilizes genetic algorithms to optimize model selection, preprocessing, and ensembling for high-accuracy predictions.

MCP (Model Context Protocol) Server. Exposes database tables and schemas via HTTP endpoints, allowing tools to query database structure without direct database access for security-conscious development.

The Azure MCP Server provides a comprehensive bridge between AI agents and over 30 Azure services, enabling automated resource management, cloud architecture design, and database operations through a standardized interface.

Rsdoctor is a comprehensive build analyzer for Rspack and webpack ecosystems that provides visualization, time consumption analysis, and an MCP server for intelligent troubleshooting.

A specialized MCP server that integrates with the Google Analytics Admin and Data APIs to provide website traffic metrics, user behavior data, and performance insights for analytics reporting.

A Model Context Protocol implementation that provides secure integration between AI applications and MySQL databases, supporting schema exploration and SQL execution.

This MCP server provides access to WeChat chat history stored in a local database, allowing users to query and summarize conversation logs.

A robust MySQL database connector for LLMs featuring SSH tunnel support, security-focused read/write controls, and comprehensive schema inspection capabilities.

OpenOps is a no-code FinOps automation platform designed to manage and optimize cloud costs through customizable workflows, reporting tables, and deep integrations with AWS, Azure, and GCP.

A comprehensive MCP server that bridges AI IDEs with Tencent CloudBase, enabling full-stack application deployment, database management, and cloud function orchestration through natural language.

A powerful interface for Zotero that enables AI assistants to search research libraries semantically, extract PDF annotations, and retrieve full-text content from both local and web-based libraries.

A suite of MCP servers designed to interact with Neo4j graph databases, enabling natural language Cypher queries, knowledge graph memory storage, Aura cloud management, and interactive data modeling.

A comprehensive MCP server for interacting with the Notion API, allowing LLMs to search, read, create, and modify pages, databases, blocks, and comments while optimizing token usage via experimental Markdown conversion.

Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).

A declarative framework that turns Markdown files and CLI tools into shareable LLM applications and MCP-compatible services. It allows users to define tools like SQL clients, grep, or curl directly in Markdown frontmatter to create modular AI agents.

An MCP server that enables AI models to interact with Microsoft Excel files, supporting reading/writing text and formulas, cell styling, sheet management, and visual screen captures on Windows.

A local knowledge graph system providing persistent memory for AI models through structured entities, relations, and context-aware storage. It supports both global and project-local databases with built-in safety markers to ensure secure data management.

An MCP server that provides AI assistants with real-time access to stock market and cryptocurrency data, including financial statements, historical prices, and company news.

Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information.

Use 6,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more

An MCP server for ClickHouse and chDB that enables natural language querying of large datasets with read-only safeguards and support for both remote clusters and embedded engines.

Dingo is a production-grade AI data quality evaluation platform that provides over 70 metrics to assess machine learning datasets, LLM training data, and RAG systems using rules, LLMs, and agents.

This MCP server provides an interface to phpMyFAQ, a multilingual, database-driven FAQ system, enabling LLMs to interact with its FAQ records, categories, and media manager.

A suite of MCP servers to manage Google Cloud environments using natural language through the gcloud CLI, Cloud Storage, and Observability APIs. It allows for automated cloud operations, log analysis, and object management directly from AI assistants.

An MCP server integrated into a Kotlin Multiplatform project that provides Fantasy Premier League data, including player information and match fixtures.

A robust MCP server that bridges AI assistants with Google Sheets and Drive, enabling full CRUD operations, batch updates, sharing, and metadata management of spreadsheets via natural language.

A specialized MCP server that enables LLMs to interact with Elasticsearch clusters using natural language to list indices, inspect mappings, and execute search queries or ES|QL.

A comprehensive MCP server providing access to Turkish legal databases including Supreme Courts, Constitutional Court, and various regulatory authorities with optimized Markdown retrieval.