Databases

Enables merchant integration with payware payment APIs for creating transactions, managing authentication, and generating code examples across multiple programming languages. Provides comprehensive tools for payment processing, JWT authentication, and sandbox testing.

Implements a Model Context Protocol server for WordPress that enhances VS Code with WordPress-specific intelligence, including database integration, code completion, and documentation.

Enables LLMs to search, analyze, and summarize academic research papers in real-time from arXiv, Semantic Scholar, and PubMed. Provides automatic deduplication, citation analysis, and BibTeX generation across multiple research databases.

Enables AI-powered academic research by searching and retrieving research papers from OpenAlex database. Supports searching by keywords/topics and fetching full abstracts for detailed paper analysis.

A secure MySQL Model Context Protocol server that enables AI agents to interact with MySQL databases through standardized operations. Features comprehensive security with SQL injection prevention, connection pooling, and configurable tool access for database operations.

Enables interaction with PostgreSQL databases through both HTTP and stdio transports. Supports executing read-only SQL queries, listing tables, and retrieving schema information with stateful session management.

A persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.

Converts a local MCP server into a remote HTTP-accessible REST API server with MongoDB support for managing brainstorming sessions and ideas. Provides endpoints for listing sessions, searching ideas, analyzing connections, and generating statistics.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

Enables AI assistants to search across multiple academic databases (PubMed, arXiv, bioRxiv, medRxiv, Semantic Scholar) through a unified interface. Supports advanced filtering, metadata retrieval, PDF downloads, and comprehensive research workflows with citation analysis.

Enables AI agents to securely connect to and query Microsoft SQL Server databases with read-only access, schema discovery, and relationship mapping. Features advanced security protections, health monitoring, and bulk operations for production environments.

An MCP server that enables AI assistants to interact with PostgreSQL databases by executing SQL queries and inspecting database schemas. It provides tools for standardized database exploration and management through the Model Context Protocol.

Enables AI agents and users to query, analyze, and manage Teradata databases through modular tools for search, data quality, administration, and data science operations. Provides comprehensive database interaction capabilities including RAG applications, feature store management, and vector operations.

A remote MCP server deployed on Cloudflare Workers with Google OAuth authentication that enables users to interact with a SQL database containing employee data. Demonstrates how to build authenticated MCP servers with OAuth integration on Cloudflare infrastructure.

Provides comprehensive MySQL database operations including CRUD, performance optimization, health analysis, and anomaly detection. Supports multiple connection modes, OAuth2.0 authentication, and role-based permissions for database management through natural language.

Provides read and write access to Airtable databases, enabling LLMs to inspect schemas, search, create, update, and delete records, tables, and fields, as well as manage comments on records.

Zero-config graph DB for builders, AI agents, and SaaS teams who move fast

Enables AI to query and manage PostgreSQL and MongoDB databases through natural language. Supports automatic schema discovery, safe data operations, and network-wide database access with zero-configuration deployment.

Enables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports cluster management, SQL execution, and workspace operations with OAuth authentication.

Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.

Enables secure read-only querying of multiple database types (MySQL, PostgreSQL, MSSQL, Oracle) through natural language. Automatically reads database configuration from project files and blocks any data modification operations for safety.

Enables remote command execution via SSH and database queries through PostgreSQL connections. Supports classifier training orchestration with configurable SSH profiles for AI-assisted infrastructure management.

Enables users to track personal expenses through natural language interactions with comprehensive category support and financial summaries. Provides both local and remote MCP server options with SQLite storage for fast expense management operations.

InsForge is a backend platform for AI driven development. It provides Auth, Database, Storage, and Functions with production grade cloud infrastructure out of the box. With InsForge MCP, most developers can bring their MVP timeline down from weeks to hours using InsForge.

Universal database MCP server connecting to MySQL, PostgreSQL, SQL Server, MariaDB,DM8,Oracle,not only provides basic database connection such as OAuth 2.0 authentication , health checks, SQL optimization, and index health detection

Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language, supporting queries, data manipulation, and schema operations with built-in security features.

Enables users to retrieve chemical safety information including compound properties, GHS safety classifications, and toxicity data from PubChem database using compound names or CIDs. Supports batch queries with caching for efficient chemical safety research and analysis.

Provides 18 tools including calculator operations (add, subtract, multiply, divide, power, sqrt, log, trigonometric functions) and secure sandboxed file operations (read, write, append, delete, list) for LangGraph agents and MCP clients. Features async support, YAML configuration, comprehensive logging, and path traversal protection.

Enables AI assistants like Claude to interact with Databricks workspaces through a secure, authenticated interface. Supports custom prompts and tools that leverage the Databricks SDK for workspace management, job execution, and SQL operations.

Enables task management through natural language commands in English or Spanish. Supports creating, listing, updating, completing, and deleting tasks with local SQLite storage.