Discover Every AI Agent, SDK,
and MCP Server In Your Stack
Map every AI tool, endpoint, and SDK call across your organization. From developer machines to production code, one place to see it all.
AI Is Everywhere WithinYour Workflow
Agents run locally, IDE extensions operate without visibility, and SDKs are added directly to code often without tracking or documentation. Most of it never gets documented.
Most Of AI ActivitiesYou Can't Govern
Agents execute code without oversight, MCP servers create direct system access, and SDK calls send data externally, all without governance or tracking. Most teams have no inventory of any of it.
Complete Visibility AcrossYour AI Stack
Discover every AI tool across your environment, from agents and MCP servers to extensions and project configs. Get structured output for quick review or automation.
Understand Every AI Call InYour Codebase
Detect every AI and ML SDK in your codebase, from OpenAI and Anthropic to LangChain and more, with file-level and line-level evidence of how AI is used. Export as a CycloneDX SBOM.
Every AI Tool andSDK Call. Detected.
Detects AI tools across your environment and traces every AI/ML SDK call in your code.
AI Tools on Developer Machines
Detect AI tools running locally across your environment including coding agents, IDE extensions, and CLI tools.
MCP Servers and Project Configs
Identify MCP servers and project-level configurations, including endpoints, transport types, embedded AI setup across repos.
AI SDK Usage Across Your Codebase
Trace every AI and ML SDK call across your codebase with file-level and line-level visibility.
- Agents
- 12 found
- MCP Servers
- 4 found
- IDE Extensions
- 8 found
- Project Configs
- 6 found
Complete Visibility AcrossYour Environment
Identify every AI tool, MCP server, and extension across your environment in one place.
Turn discovery into fleet-wide Endpoint Hub visibility
VET endpoint scan finds AI tools, MCP servers, and Agent Skills on each machine. Sync scans to SafeDep Cloud alongside PMG package events: inventory and install activity in one place per endpoint.
from openai import OpenAIfrom langchain import LLMChain…client.chat.completions.create(model="gpt-4",messages=messages)
Understand AI UsageAcross Your Codebase
Trace every AI and ML SDK call with file-level evidence. Generate a complete AI Bill of Materials.
From Shadow AI
to Governed AI
You can't secure what you can't see. Start free with our open source scanner, then scale to a unified platform for continuous AI governance across your organization.
