This module implements a Model Context Protocol server for a PostgreSQL database.
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The postgres-context-server is a Model Context Protocol (MCP) server designed to expose PostgreSQL database content as structured, real-time context to AI models. It enables seamless integration of live database data into LLM workflows, allowing models to query, retrieve, and reason over PostgreSQL data dynamically. This server acts as a bridge between PostgreSQL databases and AI systems, facilitating secure, scoped, and observable interactions. It is ideal for developers building AI-enhanced applications that require up-to-date database insights, such as data analysis, automated reporting, and intelligent querying within the MCP ecosystem.
Use This MCP server To
Expose live PostgreSQL data to AI models for dynamic querying Enable AI-driven data analysis using real-time database context Automate report generation from PostgreSQL databases Integrate PostgreSQL with LLMs for intelligent data retrieval Support secure and scoped database interactions in AI workflows
README
postgres-context-server FAQ
How do I connect the postgres-context-server to my PostgreSQL database?
You configure the server with your database connection string and credentials, enabling it to securely access and expose your PostgreSQL data to MCP clients.
Can the postgres-context-server handle large databases efficiently?
Yes, it is designed to handle large PostgreSQL databases by streaming relevant context and supporting scoped queries to optimize performance.
Is the postgres-context-server compatible with multiple LLM providers?
Yes, it works seamlessly with various LLM providers including OpenAI, Anthropic Claude, and Google Gemini by providing standardized context via MCP.
How does the postgres-context-server ensure data security?
It enforces scoped access and secure authentication, ensuring that only authorized MCP clients can query the PostgreSQL data.
Can I customize the data exposed by the postgres-context-server?
Yes, you can configure which tables, schemas, or queries are exposed to tailor the context provided to the AI models.
Does the postgres-context-server support real-time updates?
It supports near real-time context updates by querying the database on demand, ensuring AI models receive fresh data.
What are the deployment options for the postgres-context-server?
It can be deployed on-premises or in cloud environments, wherever your PostgreSQL database is hosted.
How do I monitor the postgres-context-server activity?
The server provides logging and observability features to track queries, access patterns, and performance metrics.