MCP Server: Trend Data Persister
by Flow-Research
This project implements an MCP server using Python to persist trend data (upward or downward) into a PostgreSQL database. It exposes a single tool, `persist-trend-data`, which accepts a database connection string and JSON data representing the trend.
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What is MCP Server: Trend Data Persister?
This MCP server provides a tool to persist trend data (upward or downward) into a PostgreSQL database. It uses Pydantic for input validation and psycopg2 to interact with the database.
How to use MCP Server: Trend Data Persister?
- Clone the repository. 2. Configure your MCP client to connect to the server, providing the path to the Makefile. 3. Send requests to the
persist-trend-datatool with adatasource_urlandjson_datacontaining the trend information.
Key features of MCP Server: Trend Data Persister
Persists upward and downward trends
Uses PostgreSQL as a data store
Validates input data with Pydantic
Provides a Makefile for easy setup and running
Integrates with MCP clients
Use cases of MCP Server: Trend Data Persister
Tracking positive performance trends (e.g., rockstars)
Identifying negative performance trends (e.g., culprits)
Storing trend data for analysis and reporting
Integrating trend data into MCP-based workflows
Automating data persistence for trend analysis
FAQ from MCP Server: Trend Data Persister
What database does this server support?
What database does this server support?
This server is designed to work with PostgreSQL.
What are the prerequisites for running this server?
What are the prerequisites for running this server?
You need Python (>=3.10 recommended), make, uv (optional), and access to a running PostgreSQL database.
How do I configure my MCP client to use this server?
How do I configure my MCP client to use this server?
Configure your MCP client to connect to this server. The cwd path should point to the correct project directory where the Makefile resides.
What kind of data does the server expect?
What kind of data does the server expect?
The server expects JSON data with a 'trend' field (either 'upward' or 'downward') and corresponding arrays of 'rockstars' or 'culprits', each with 'name', 'department', and 'amount' fields.
How do I run the server?
How do I run the server?
You can run the server using the make run command in the project directory.