Bring Task Tracking
to Pydantic AI
Learn how to connect ProjectManager to Pydantic AI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ProjectManager MCP Server?
Connect your ProjectManager.com account to any AI agent and simplify your project orchestration, task management, and resource allocation through natural conversation.
What you can do
- Project Management — List all projects, retrieve detailed status metadata, and monitor project health and progress
- Task Control — Query tasks for any project, retrieve detailed descriptions, and create new tasks programmatically
- Resource Intelligence — List team resources, including members and equipment, to choose the right context for each task
- Time Tracking — Access a history of recorded timesheets to stay on top of your project billing and capacity
- Direct Control — Manage your entire project portfolio directly from your agent without manual dashboard navigation
How it works
- Subscribe to this server
- Enter your ProjectManager API Key from your account settings
- Start managing your projects from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (11)
Create a new project
Add a new task
Get details for a specific project
Get details for a specific task
List all dashboards
List ProjectManager projects
List all project tags
Optionally filter by project ID. List tasks
List team resources
List recorded timesheets
Update an existing task
Why Pydantic AI?
Pydantic AI validates every ProjectManager tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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.
- —
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 ProjectManager integration code
- —
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 ProjectManager connection logic from agent behavior for testable, maintainable code
ProjectManager in Pydantic AI
ProjectManager and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ProjectManager 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 ProjectManager in Pydantic AI
The ProjectManager 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 11 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
ProjectManager for Pydantic AI
Every tool call from Pydantic AI to the ProjectManager MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I list all my active projects using my AI agent?
Yes! Use the list_projects tool to retrieve a comprehensive list of all projects registered in your account.
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 ProjectManager 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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