- MEC Postgres
MEC Postgres
What is MEC PostgreSQL?
MEC PostgreSQL is a Model Context Protocol (MCP) server hosted on MCP.so, designed to enable Large Language Models (LLMs) to interact directly with PostgreSQL databases. It provides comprehensive read and write access, empowering LLMs to inspect database schemas, execute queries, and handle data modifications securely.
How to use MEC PostgreSQL?
To use MEC PostgreSQL, configure it in your application's MCP client settings by adding the server details provided by MCP.so. You'll connect your PostgreSQL database to the MEC PostgreSQL server, enabling immediate access for LLM interactions.
Key Features of MEC PostgreSQL
-
Query Execution:
- Run SQL queries in a read-only transaction environment to safely retrieve data.
-
CSV Upload:
- Easily upload CSV files directly into your database tables using read-write transactions.
-
Automatic Schema Discovery:
- Automatically discover and inspect database schemas, including detailed column names and data types, through JSON schema endpoints.
Use Cases for MEC PostgreSQL
- Quickly inspecting and verifying database schemas and structures.
- Allowing LLMs to perform database queries for reporting or analytics.
- Uploading and integrating CSV data into existing database tables.
- Enabling secure and managed database write operations through structured CSV uploads.
Frequently Asked Questions (FAQ)
Can I write data to PostgreSQL via this server?
Yes! MEC PostgreSQL supports both read-only queries and write operations through CSV uploads.
How do I access schema information for my tables?
Table schema information is automatically provided in JSON format at endpoint URLs (postgres://<host>/<table>/schema), including columns and data types.
Can MEC PostgreSQL integrate with other applications?
Yes! MEC PostgreSQL integrates seamlessly with any application that supports Model Context Protocol (MCP) endpoints.
Server Config
{
"mcpServers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/postgres",
"postgresql://host.docker.internal:5432/mydb"
]
}
}
}