Building the Standard for AI Integration
Join the community defining how agents communicate, collaborate, and create value across contexts, commerce, and payments.
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Subscribe to UpdatesCore Protocols
Model Context Protocol (MCP)
An open standard that enables secure, two-way connections between data sources and AI agents, providing a universal way to expose data and tools to Large Language Models.
View Documentation →Universal Commerce Protocol (UCP)
An open standard facilitating seamless commerce interactions across platforms and AI agents, providing a common language for product discovery, checkout, and order management.
View Protocol Page →Agentic Payment Protocol (APP)
Frameworks like Google's AP2 and others that establish secure, auditable, and autonomous transaction capabilities for AI agents across various payment methods.
View Documentation →Open Source Code
Universal Commerce Protocol (Python SDK)
Access our Python implementation of the Universal Commerce Protocol for building agentic commerce applications.
View Repository →Agentic Protocols Dev Portal
Explore the codebase for this website, developer documentation, and reference bootcamps/syllabi.
View Repository →Getting Started with the Python SDK (ucp-py)
Install the package via pip:
pip install ucp-pyValidate UCP profiles programmatically in Python:
from ucp import UcpValidator
# Validate a Profile dictionary
result = UcpValidator.validate_profile(profile_data)
if result.is_valid:
print("Valid Profile!")
else:
for error in result.errors:
print(f"Error at {error.path}: {error.message}")Or validate local/remote profiles via the command line:
# Validate a remote domain (fetches from https://<domain>/.well-known/ucp)
ucp-validate example.com
# Validate a local profile file
ucp-validate -f path/to/profile.jsonStay Ahead of the Curve
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