"Open-Source MCP Server in Python with PostgreSQL and OAuth 2.0" matching MCP servers:

Enables AI assistants to perform CRUD operations on a SQLite database, with all tools protected by Google OAuth 2.0 authentication.

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

Provides weather information from the National Weather Service API with full MCP OAuth 2.1 compliance, including weather alerts and forecasts for US locations through secure Azure AD authentication.

A learning MCP server providing tools for OS info, file operations, weather, SQLite queries and resources for documentation and user profiles.

A Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.

A Python MCP server that enables schema discovery, read-only SQL queries, table previews, and index/relationship analysis on PostgreSQL databases.

A collection of Python-based Model Context Protocol servers that extend AI assistant capabilities with tools for calculations, AWS services (S3 and RDS), and PostgreSQL database operations.

A simple MCP server with OAuth 2.0 authentication for testing OAuth support in mcp-cli.

A modular server implementation that integrates Auth0 OAuth 2.0 authentication with FastMCP to securely serve AI tools through the Model Context Protocol.

Turns a Mac into an MCP host exposing terminal, filesystem, browser automation, and macOS controls to approved AI clients via OpenAI's Secure MCP Tunnel.

Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.

A secure MCP server that lets AI assistants directly interact with PostgreSQL databases via tools like create_table, list_tables, and execute_sql, plus a web configurator for managing connections.

A production-ready Model Context Protocol server that enables AI assistants and applications to interact with Airtable bases through a standardized interface with secure OAuth 2.0 authentication.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.

Enables natural language interaction with PostgreSQL databases through Amazon Q for querying data, listing tables, and describing schemas. It provides secure, read-only access with automatic row limits to ensure efficient database exploration.

A production-ready MCP server with OAuth 2.1 and PKCE for secure third-party API access, featuring GitHub user info retrieval and LLM-powered code analysis.

Enables deterministic static analysis of Python code, providing tools to inspect classes, functions, imports, dependencies, and more, without executing the code.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.