Manatal MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Manatal through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Manatal "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Manatal?"
)
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 Manatal MCP Server
Connect your Manatal account to any AI agent and take full control of your recruitment pipeline through natural conversation.
Pydantic AI validates every Manatal tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Candidate Management — List all candidates, fetch detailed profiles, and manage your talent pool
- Job Management — Query active job openings, list departments, and manage career pages
- Applications — Track applicant progress and inspect individual application details
- Client Management — List and inspect organizations/clients associated with your recruitment firm
The Manatal MCP Server exposes 10 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.
How to Connect Manatal to Pydantic AI via MCP
Follow these steps to integrate the Manatal MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Manatal with type-safe schemas
Why Use Pydantic AI with the Manatal MCP Server
Pydantic AI provides unique advantages when paired with Manatal 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 Manatal integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Manatal connection logic from agent behavior for testable, maintainable code
Manatal + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Manatal MCP Server delivers measurable value.
Type-safe data pipelines: query Manatal with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Manatal tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Manatal and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Manatal responses and write comprehensive agent tests
Manatal MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Manatal to Pydantic AI via MCP:
get_application
Get details for a specific application
get_candidate
Get details for a specific candidate
get_job
Get details for a specific job
get_organization
Get details for a specific organization
list_applications
List all applications
list_candidates
List all candidates
list_career_pages
List all career pages
list_departments
List all departments
list_jobs
List all jobs
list_organizations
List all organizations
Example Prompts for Manatal in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Manatal immediately.
"List the first page of candidates."
"What are the active job openings?"
"Get details for organization ID 123."
Troubleshooting Manatal MCP Server with Pydantic AI
Common issues when connecting Manatal to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiManatal + Pydantic AI FAQ
Common questions about integrating Manatal 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Manatal with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Manatal to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.