"A universal news aggregator for unbiased results" matching MCP servers:

Acts as an anonymizing proxy between AI agents and databases, detecting PII and replacing it with realistic fake data so agents never see real data.

A server providing access to news articles from various categories including tech, data science, cybersecurity, and more, allowing retrieval and summarization of latest content.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables connecting to and querying multiple database types (PostgreSQL, MySQL, SQLite) through a unified interface. Supports managing multiple concurrent database connections with connection pooling and SQL query execution through MCP tools.

Enables AI assistants to connect to 17+ databases and query/analyze data using natural language via MCP and HTTP APIs, supporting platforms like Claude Desktop, Cursor, and VS Code.

A database-agnostic MCP server that enables natural language queries to your database through Claude or Copilot, automatically writing and executing SQL.

Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.

Enables Claude Desktop to interact with MySQL, PostgreSQL, and Redis databases using natural language for data querying and schema analysis. It provides a secure interface with a default read-only mode to prevent unauthorized database modifications.

Enables AI assistants to query and analyze databases using natural language through MCP and HTTP API, supporting 17+ databases and integration with 50+ platforms.

Enables AI agents to securely query databases (PostgreSQL, SQLite, MySQL, DuckDB) with read-only defaults and multi-layer SQL injection prevention.

Enables AI assistants to navigate and populate complex ontologies by transforming unstructured data into structured, SHACL-validated knowledge graphs. It features semantic hybrid search and proactive schema guidance to help users build deeply linked, reasoning-ready data.

Enables secure interaction with multiple SQL database engines (MySQL, PostgreSQL, SQLite, SQL Server) through a standardized interface. Supports schema inspection, safe query execution, and controlled write operations with built-in security restrictions.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Enables MCP clients to dynamically connect to MySQL, MariaDB, and PostgreSQL databases via connection URLs, and to administer databases, tables, and records.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Enables AI assistants to search and retrieve HKEX announcements and news from a local SQLite database via read-only MCP tools.

Aggregates tasks from multiple sources (Jira, Markdown TODO files, STM CLI) into a unified SQLite database with full-text search, tagging, and incremental sync capabilities.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.