Ayrshare MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Ayrshare 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 Ayrshare "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Ayrshare?"
)
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 Ayrshare MCP Server
Empower your AI agent to orchestrate your entire social media presence with Ayrshare, the powerful automation engine for modern brands. By connecting Ayrshare to your agent, you transform complex multi-platform publishing into a natural conversation. Your agent can instantly publish posts across Twitter, Facebook, Instagram, and LinkedIn, schedule content for optimal reach, audit engagement analytics, and even manage multiple user profiles without you ever opening a browser tab. Whether you're a content creator or a social media manager, your agent acts as a direct bridge to your social networks, ensuring your brand stays active and data-driven.
Pydantic AI validates every Ayrshare tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Multi-Platform Publishing — Publish posts immediately to multiple social networks including text and media attachments via natural language.
- Content Scheduling — Schedule future posts with precision timestamps or manage auto-schedule queues for consistent presence.
- Engagement Analytics — Retrieve detailed engagement metrics for specific posts or get high-level social profile analytics.
- Profile Management — Create, list, and manage different user profiles to organize content across various brands or clients.
- History Auditing — Audit your post history to track statuses (Success, Pending, Error) and verify delivery across all channels.
The Ayrshare MCP Server exposes 12 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 Ayrshare to Pydantic AI via MCP
Follow these steps to integrate the Ayrshare 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 12 tools from Ayrshare with type-safe schemas
Why Use Pydantic AI with the Ayrshare MCP Server
Pydantic AI provides unique advantages when paired with Ayrshare 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 Ayrshare integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Ayrshare connection logic from agent behavior for testable, maintainable code
Ayrshare + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Ayrshare MCP Server delivers measurable value.
Type-safe data pipelines: query Ayrshare with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Ayrshare tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Ayrshare and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Ayrshare responses and write comprehensive agent tests
Ayrshare MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Ayrshare to Pydantic AI via MCP:
create_post
Publish a post immediately to social media platforms
create_profile
Create a new user profile
delete_auto_schedule
Delete auto-schedule for a platform
delete_profile
Delete a user profile
get_account_check
Verify Ayrshare connection
get_post_analytics
Get engagement statistics for a specific post
get_social_analytics
Get profile-level analytics for a specific social network
list_auto_schedules
List all auto-schedule settings
list_history
List history of posts
list_profiles
List all user profiles
schedule_post
Schedule a post for a future date
set_auto_schedule
Set auto-schedule times for a platform
Example Prompts for Ayrshare in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Ayrshare immediately.
"Publish 'Hello World!' to Twitter and Facebook immediately."
"Schedule a post for next Monday at 10 AM: 'Join our webinar!' with the image https://example.com/webinar.png"
"Show me the analytics for my last Instagram post."
Troubleshooting Ayrshare MCP Server with Pydantic AI
Common issues when connecting Ayrshare to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAyrshare + Pydantic AI FAQ
Common questions about integrating Ayrshare 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 Ayrshare 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 Ayrshare to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
