Compatible with every major AI agent and IDE
What is the FOSSA (License Compliance) MCP Server?
Connect your FOSSA account to any AI agent to automate open-source license compliance and security auditing through natural language.
What you can do
- Project Overview — List all projects in your organization with support for filtering and pagination.
- Revision Tracking — Access specific project revisions and fetch detailed metadata for any version locator.
- Dependency Analysis — Deep-dive into the dependency tree of any revision to understand your software bill of materials (SBOM).
- Impact Assessment — Identify every parent project that contains a specific vulnerable or non-compliant dependency.
- Vulnerability Scanning — Check for security vulnerabilities across multiple dependency locators in a single query.
How it works
- Subscribe to this server
- Enter your FOSSA API Token
- Start auditing your software supply chain from Claude, Cursor, or any MCP client
Who is this for?
- Security Engineers — quickly identify where vulnerable packages are used across the entire organization.
- Legal & Compliance Teams — audit project revisions for license compliance without manually navigating the FOSSA UI.
- DevOps & Architects — verify dependency trees and project metadata directly from the terminal or code editor.
Built-in capabilities (6)
Uses a POST request but only reads data. Check vulnerabilities by dependency locators
Get parent projects containing a dependency
Get details for a specific revision
Get dependencies for a specific revision
Supports filtering and pagination. List all projects in your organization
List revisions of a project
Why Pydantic AI?
Pydantic AI validates every FOSSA (License Compliance) tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your FOSSA (License Compliance) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your FOSSA (License Compliance) connection logic from agent behavior for testable, maintainable code
FOSSA (License Compliance) in Pydantic AI
FOSSA (License Compliance) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect FOSSA (License Compliance) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for FOSSA (License Compliance) in Pydantic AI
The FOSSA (License Compliance) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
FOSSA (License Compliance) for Pydantic AI
Every tool call from Pydantic AI to the FOSSA (License Compliance) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I find which projects are affected by a specific vulnerable package?
Yes. Use the get_parent_projects tool with the dependency locator (e.g., npm+coa$2.0.2) to see every project in your organization that includes that specific dependency.
How do I check for security vulnerabilities in a list of dependencies?
You can use the check_vulnerabilities tool by providing an array of dependency locators. The agent will return any known security issues impacting those specific versions.
Can I see the full dependency list for a specific project version?
Absolutely. By using get_revision_dependencies with a revision locator, you can retrieve the complete list of dependencies identified by FOSSA for that specific build or release.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your FOSSA (License Compliance) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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