Oktopost 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 Oktopost 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 Oktopost "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Oktopost?"
)
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 Oktopost MCP Server
Connect your Oktopost account to your AI agent and streamline your B2B social media marketing and lead generation through natural conversation.
Pydantic AI validates every Oktopost 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
- Campaign Management — List all active and archived social media campaigns and retrieve detailed settings.
- Profile Oversight — Access metadata and connection statuses for all your linked social profiles (LinkedIn, Twitter, Facebook, etc.).
- Post Monitoring — List scheduled and sent social media messages across all campaigns and check their content.
- Lead & Contact Tracking — Retrieve a list of leads and contacts identified through social media engagement.
- Analytics Reporting — Fetch aggregated performance reports for specific metrics like clicks and shares.
- Conversion Tracking — Monitor successful goal completions and conversions attributed to your social activities.
- Deep Inspection — Fetch complete metadata for specific campaigns, messages, or social profiles using their unique IDs.
The Oktopost 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 Oktopost to Pydantic AI via MCP
Follow these steps to integrate the Oktopost 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 Oktopost with type-safe schemas
Why Use Pydantic AI with the Oktopost MCP Server
Pydantic AI provides unique advantages when paired with Oktopost 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 Oktopost integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Oktopost connection logic from agent behavior for testable, maintainable code
Oktopost + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Oktopost MCP Server delivers measurable value.
Type-safe data pipelines: query Oktopost with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Oktopost tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Oktopost and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Oktopost responses and write comprehensive agent tests
Oktopost MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Oktopost to Pydantic AI via MCP:
get_analytics_report
Get social analytics report
get_campaign_details
Get specific campaign info
get_message_details
Get specific message details
get_social_profile_details
Get specific profile info
list_campaigns
List social media campaigns
list_oktopost_tags
List organization tags
list_social_contacts
List social leads and contacts
list_social_conversions
List social-driven conversions
list_social_messages
List scheduled and sent messages
list_social_profiles
) connected to the account. List connected social profiles
Example Prompts for Oktopost in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Oktopost immediately.
"List all my active social media campaigns."
"What is the click engagement for the 'Summer Promo' campaign?"
"Show me the latest leads identified from LinkedIn."
Troubleshooting Oktopost MCP Server with Pydantic AI
Common issues when connecting Oktopost to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOktopost + Pydantic AI FAQ
Common questions about integrating Oktopost 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 Oktopost 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 Oktopost to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.