Nimbleway 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 Nimbleway 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 Nimbleway "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Nimbleway?"
)
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 Nimbleway MCP Server
Connect your Nimbleway account to your AI agent and leverage high-performance web data collection through natural conversation.
Pydantic AI validates every Nimbleway 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
- Web Extraction — Fetch and render any web page as raw HTML or clean Markdown using advanced stealth technology to bypass bots.
- Structured Search — Execute real-time web searches and receive structured data directly from major search engines.
- Pipeline Management — List and inspect your data streams (pipelines) to monitor your scraping workflows.
- Usage Monitoring — Track your current bandwidth, remaining credits, and overall account usage in real-time.
- Job Tracking — Monitor the progress and metadata of your active data extraction and crawling jobs.
- Proxy Oversight — Access configuration details for your residential and data center proxy endpoints.
The Nimbleway 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 Nimbleway to Pydantic AI via MCP
Follow these steps to integrate the Nimbleway 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 Nimbleway with type-safe schemas
Why Use Pydantic AI with the Nimbleway MCP Server
Pydantic AI provides unique advantages when paired with Nimbleway 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 Nimbleway integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Nimbleway connection logic from agent behavior for testable, maintainable code
Nimbleway + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Nimbleway MCP Server delivers measurable value.
Type-safe data pipelines: query Nimbleway with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Nimbleway tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Nimbleway and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Nimbleway responses and write comprehensive agent tests
Nimbleway MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Nimbleway to Pydantic AI via MCP:
extract_html
Extract web page as HTML
extract_markdown
Extract web page as Markdown
get_account_usage
Check account bandwidth and usage
get_job
Get specific job details
get_me
Get current account info
get_pipeline
Get specific pipeline details
list_jobs
List scraping jobs
list_pipelines
List scraping pipelines
list_proxies
List proxy configuration
search_web
Perform structured web search
Example Prompts for Nimbleway in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Nimbleway immediately.
"Extract the content of 'https://example.com' as Markdown."
"Search the web for 'latest AI developments 2024' and give me structured results."
"Check my account usage and remaining credits."
Troubleshooting Nimbleway MCP Server with Pydantic AI
Common issues when connecting Nimbleway to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiNimbleway + Pydantic AI FAQ
Common questions about integrating Nimbleway 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 Nimbleway 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 Nimbleway to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.