Gmelius MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Gmelius 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 Gmelius app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Gmelius "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Gmelius?"
)
print(result.data)
asyncio.run(main())
* 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 Gmelius MCP Server
Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.
Pydantic AI validates every Gmelius tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
- Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
- Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
- Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
- Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
- Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling
The Gmelius MCP Server exposes 9 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 9 Gmelius tools available for Pydantic AI
When Pydantic AI connects to Gmelius through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, email-delegation, kanban-boards, 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 API Status
Add a new card to a board
Get details for a specific board
Get details for a specific conversation
List cards on a Kanban board
List collaborative Kanban boards
List Gmelius shared conversations
List email sequences
List shared email templates
Connect Gmelius to Pydantic AI via MCP
Follow these steps to wire Gmelius into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Gmelius MCP Server
Pydantic AI provides unique advantages when paired with Gmelius through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gmelius integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Gmelius connection logic from agent behavior for testable, maintainable code
Gmelius + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Gmelius MCP Server delivers measurable value.
Type-safe data pipelines: query Gmelius with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Gmelius tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Gmelius and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Gmelius responses and write comprehensive agent tests
Example Prompts for Gmelius in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Gmelius immediately.
"List all active Kanban boards and show their status."
"Show the last 5 conversations assigned to me."
"Check the available email templates for the 'Sales' team."
Troubleshooting Gmelius MCP Server with Pydantic AI
Common issues when connecting Gmelius to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGmelius + Pydantic AI FAQ
Common questions about integrating Gmelius MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.