"Understanding Feedback Enhanced Concepts or Technologies" matching MCP servers:

A Node.js implementation that provides tools for advanced PubMed searching, including full abstract retrieval and PMC full-text search within open access articles. It features SQLite-backed search history and allows users to filter results by MeSH terms and specific publication dates.

A Model Context Protocol server providing both read and write access to PostgreSQL databases, enabling LLMs to query data, modify records, and manage database schemas.

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.

Enables comprehensive interaction with Airtable bases including record management with automatic type conversion for all field types. It supports batch operations, schema discovery, and secure authentication using Personal Access Tokens.

A comprehensive MCP server for Power BI DAX query execution, validation, optimization, and intelligent assistance with tools for schema analysis, template generation, and health monitoring.

Deprecated Python-based PostgreSQL MCP server. Users should migrate to the new TypeScript version with enhanced features.

A comprehensive Model Context Protocol server for Metabase integration, developed by EaseCloud Technologies. 70+ Tools Available covering all major Metabase functionality for enterprise usage.

Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.

Persistent knowledge graph MCP server with SQLite backend, offering graph traversal, fuzzy search, and temporal queries for entities and relations. It serves as a drop-in replacement for the npm mcp-server-memory with enhanced capabilities.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.

An MCP server for ClickHouse with enhanced filtering for database and table discovery, supporting LIKE/NOT LIKE patterns and both ClickHouse and chDB tools.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.

Enables reverse engineering of database tables into Spring Boot projects with AI-enhanced naming and code generation, providing interactive visualizations and workflow orchestration.

A Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.

A minimal MCP server that allows executing SQL queries on PostgreSQL databases with configurable read-only or write permissions.

Enables indexing and retrieving notes with full-text search using SQLite, plus building knowledge graphs to find relationships between concepts. Supports natural language note management, tagging, and semantic connections.

An MCP server that enables natural language interaction with Apache Iceberg data lakehouses, allowing users to query table metadata, schemas, and properties through Claude, Cursor, or other MCP clients.

Multi-database management tool and MCP server supporting MySQL, PostgreSQL, SQLite, and Dameng DM8, enabling AI assistants to query and manage databases via stdio or HTTP.