- FastMCP - Model Context Protocol Server
Overview
what is FastMCP?
FastMCP is a lightweight Model Context Protocol (MCP) server that allows users to create, manage, and query model contexts efficiently using a fast and Pythonic framework.
how to use FastMCP?
To use FastMCP, clone the repository, install the necessary dependencies, and start the server using Python. You can interact with the server through various tools provided for context management and querying.
key features of FastMCP?
- Create, retrieve, update, and delete model contexts
- Query execution against specific contexts
- Filtering by model name and tags
- In-memory storage for development
- Integration with Datadog for metrics and monitoring
use cases of FastMCP?
- Managing machine learning model contexts for various applications.
- Executing queries against specific model contexts for data retrieval.
- Monitoring context usage and performance metrics through Datadog.
FAQ from FastMCP?
- What programming language is FastMCP written in?
FastMCP is written in Python and requires Python 3.7 or higher.
- Is Datadog integration mandatory?
No, Datadog integration is optional and can be configured if desired.
- How can I install FastMCP?
You can install FastMCP using the provided installation scripts or manually by setting up a virtual environment and installing dependencies.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
ryuichi1208Star
0Language
PythonLicense
-Category
developer-tools
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