A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.
Cross-referenced across 55 tracked directories
#1920
Popularity Rank
2 / 55
Listed In
Growing
Adoption Stage
11/1/2025
First Seen
39
GitHub Stars
Score: 100/100
0 dependency vulnerabilities found
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
grafana
🎖️ 🐍 🏠 ☁️ - Search dashboards, investigate incidents and query datasources in your Grafana instance
Acacian
Credential isolation proxy for AI agents. Injects API keys at the network boundary so your agent never sees the raw credential. Supports domain allowlists, agent auth, policy enforcement, and audit logging.
...more59b9f352-8cdc-44d3-9dd9-db3bfa521880
No description available
10
Forks
16
Open Issues
11/1/2025
Last Commit
Gaining traction in the ecosystem
Cross-Posting Opportunities
Could also be listed in these directories: