Databases

A .NET 10 Azure Functions memory server that provides durable knowledge graph storage using entities, relations, and observations with workspace isolation.

A Python-based MCP server that enables AI models to interact with StarRocks databases, providing tools for schema exploration, data querying, and table management with optional read-only safety.

A specialized MCP server for Java security auditing that parses Maven POM files and queries the National Vulnerability Database (NVD) to identify and analyze project dependency vulnerabilities.

A specialized MCP server that enables AI agents to send notifications or request human input through Discord, facilitating remote monitoring and interaction during long-running tasks.

A lightweight Supabase MCP server that provides essential database, storage, and authentication tools while significantly reducing context window token usage.

Unofficial MCP server for searching and retrieving scientific data from the Catalysis Hub database, providing access to computational catalysis research and surface reaction data.

A read-only MCP server that enables LLMs to query live Salesforce Data Cloud information using natural language by wrapping the CData JDBC Driver into a relational SQL interface.

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

Enables AI agents to build, populate, and search knowledge graphs by providing tools for entity extraction, relationship mapping, and graph traversal. It manages the underlying database infrastructure so users can create searchable knowledge bases from text through natural language commands.

Provides persistent SQLite-based memory and unified tool abstraction for AI agents to support long-term context and complex tool chaining. It enables automated code analysis, file operations, and environment discovery through a standardized interface.

A read-only Model Context Protocol server that enables LLMs to query live Sage 200 data using natural language by wrapping the CData JDBC Driver.

MCP (Model Context Protocol) Server. Provides read-only PostgreSQL database access for exploring schemas and executing safe queries, deployable via Docker or NPX for data analysis without risk of modification.

MCP (Model Context Protocol) Server. Integrates with Supabase PostgreSQL databases, exposing table schemas as resources and providing tools for data analysis, including read-only SQL queries, table statistics, and relationship discovery.

A specialized MCP server for Kali Linux that provides a secure, intelligent, and real-time execution environment for penetration testing tools via Server-Sent Events (SSE).

MCP (Model Context Protocol) Server. Integrates with the Materials Project database to search materials by elements or formula and retrieve detailed properties including formation energies, band gaps, crystal systems, and stability data for computational materials science research.

MCP (Model Context Protocol) Server. Provides audio notification capabilities for coding tasks, enabling sound alerts when work is completed with cross-platform audio backend support, volume control, and device switching for developers who want audible feedback without constant screen monitoring.

MCP (Model Context Protocol) Server. Provides direct control over Canon cameras through the Canon Camera Control API, enabling remote adjustment of shooting settings like aperture, shutter speed, and ISO while retrieving live view images for real-time feedback on setting changes.

MCP (Model Context Protocol) Server. Enables AI systems to log emergency contact events with rate limiting and persistent storage using Supabase for reporting suspicious activities, cybersecurity incidents, or emergency situations.

MCP (Model Context Protocol) Server. FastAPI-based server that connects MongoDB databases to AI assistants, enabling data access with comprehensive trace management and logging capabilities.

AI memory system for Claude Code - Three-layer architecture with semantic search, knowledge graphs, and intelligent retrieval

A tool that exposes FastAPI CRUD endpoints as MCP tools, providing a bridge between standard web APIs and LLM agents with a built-in SQLite backend.

A literature and research paper management system that allows AI assistants to track reading progress, take structured notes, and build a connected knowledge base of digital sources.

MCP (Model Context Protocol) Server. Provides direct access to ChromaDB vector database capabilities for semantic search and document management with customizable parameters for collection creation, document operations, and similarity searches.

A personal finance MCP server that uses SQLite to record, categorize, and analyze expenses through natural language interactions.

MCP (Model Context Protocol) Server. Bridges Azure Cosmos DB with language models, enabling database operations like product search, order retrieval, and weather data access through vector search capabilities for e-commerce applications.

MCP (Model Context Protocol) Server. Provides a vector database for storing and retrieving code snippets through semantic search using Docker containers and sentence-transformers embeddings

MCP (Model Context Protocol) Server. Provides a lightweight bridge to MySQL databases, enabling read-only database resource introspection and query execution with controlled access and dynamic schema discovery.

A comprehensive MCP server for retrieving and analyzing 3D protein structures from RCSB PDB, PDBe, and UniProt, featuring tools for sequence similarity, ligand tracking, and structural comparison.

MCP (Model Context Protocol) Server. Provides a TypeScript-based server for interacting with PocketBase, enabling flexible database management and configuration through natural language interfaces.

Provides access to the Database of Icelandic Morphology (BÍN) to perform word lookups, retrieve specific grammatical variants, and identify lemmas for the Icelandic language.