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COR MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Check Cor Status, Create Cor Project, Get Cor Me, and more

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect COR through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The COR app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 13 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to COR "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in COR?"
    )
    print(result.data)

asyncio.run(main())
COR
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* 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

About COR MCP Server

Connect your COR account to any AI agent and take full control of your professional services project management and profitability orchestration through natural conversation.

Pydantic AI validates every COR tool response against typed schemas, catching data inconsistencies at build time. Connect 13 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.

What you can do

  • Project Portfolio Orchestration — List all active projects, retrieve detailed high-fidelity status metadata, and access profitability metrics programmatically
  • Task Pipeline Intelligence — Query tasks for any project, retrieve detailed technical metadata, and stay on top of your team's operational delivery in real-time
  • Profitability Monitoring — Access high-fidelity financial insights and project health metrics to ensure sustainable growth directly through your agent
  • Time Tracking Discovery — Access recorded technical time entries to understand workload distribution and project efficiency across your organization
  • Resource Architecture — List team members, teams, and user profiles to understand and orchestrate your organizational structure programmatically
  • Client Database Access — Query the complete high-fidelity directory of client organizations to maintain perfect contextual alignment for every project

The COR MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 COR tools available for Pydantic AI

When Pydantic AI connects to COR through Vinkius, your AI agent gets direct access to every tool listed below — spanning project-management, profitability, time-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_cor_status

Check API Status

create_cor_project

Create a new project

get_cor_me

Get current user details

get_cor_project

Get details for a specific project

get_cor_task

Get details for a specific task

list_cor_clients

List customer clients

list_cor_projects

List COR projects

list_cor_task_types

List defined task types

list_cor_tasks

Optionally filter by project ID to isolate specific technical pipelines. List tasks

list_cor_team_members

List team users

list_cor_team_users

List users in a team

list_cor_teams

List organization teams

list_cor_time_entries

List recorded time entries

Connect COR to Pydantic AI via MCP

Follow these steps to wire COR into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 13 tools from COR with type-safe schemas

Why Use Pydantic AI with the COR MCP Server

Pydantic AI provides unique advantages when paired with COR through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your COR integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your COR connection logic from agent behavior for testable, maintainable code

COR + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the COR MCP Server delivers measurable value.

01

Type-safe data pipelines: query COR with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple COR tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query COR and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock COR responses and write comprehensive agent tests

Example Prompts for COR in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with COR immediately.

01

"List all active projects and show their status."

02

"Show tasks assigned to project 'COR Integration'."

03

"Check the team members in the 'Development' team."

Troubleshooting COR MCP Server with Pydantic AI

Common issues when connecting COR to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

COR + Pydantic AI FAQ

Common questions about integrating COR MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your COR MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.