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Vinkius

Curator.io MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Curator.io through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Curator.io "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Curator.io?"
    )
    print(result.data)

asyncio.run(main())
Curator.io
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About Curator.io MCP Server

Integrate Curator.io, the modern social media aggregator, directly into your AI workflow. Manage your social feeds, monitor recent posts across multiple platforms, and audit your social media sources using natural language.

Pydantic AI validates every Curator.io 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

  • Feed Management — List and retrieve detailed settings for all your aggregated social feeds.
  • Post Monitoring — Track recent posts within specific feeds and monitor their status and interaction details.
  • Source Discovery — List all social media sources (accounts, hashtags) associated with your feeds.
  • Moderation Oversight — Access active moderation and filtering rules to ensure consistent content display.

The Curator.io 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 Curator.io to Pydantic AI via MCP

Follow these steps to integrate the Curator.io MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Curator.io with type-safe schemas

Why Use Pydantic AI with the Curator.io MCP Server

Pydantic AI provides unique advantages when paired with Curator.io through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Curator.io integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Curator.io connection logic from agent behavior for testable, maintainable code

Curator.io + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Curator.io MCP Server delivers measurable value.

01

Type-safe data pipelines: query Curator.io with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Curator.io tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Curator.io and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Curator.io responses and write comprehensive agent tests

Curator.io MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Curator.io to Pydantic AI via MCP:

01

get_account_details

Resolves usage limits and account identifiers. Interacts with the account and billing boundary. Retrieve metadata for your Curator.io account

02

get_feed_details

Resolves moderation settings, design configurations, and metadata. Interacts with the feed configuration boundary. Get detailed settings and metadata for a specific feed

03

get_feed_post_count

Resolves quantitative feed metrics. Touches the data aggregation and metrics boundary. Get the total number of posts currently in a feed

04

list_active_feeds

Resolves operational feed records. Touches the feed status management boundary. Quickly list only the feeds that are currently active

05

list_feed_posts

Resolves post content, timestamps, and source origin. Touches the content delivery and aggregation boundary. List recent social media posts within a specific feed

06

list_feed_sources

Resolves source types (Instagram, Twitter, etc.) and connection parameters. Touches the ingestion gateway boundary. List all social media sources (accounts, hashtags) for a feed

07

list_moderation_rules

Resolves keyword filters and exclusion patterns. Touches the content moderation logic boundary. List active moderation and filtering rules for a feed

08

list_social_connections

Resolves account identifiers and authentication states. Touches the OAuth and external API integration boundary. List connected social media accounts (Instagram, Twitter, etc.)

09

list_social_feeds

Resolves feed IDs, names, and current statuses. Interacts with the feed management system. List all social media feeds configured in Curator.io

10

search_posts_in_feed

Resolves matching post entities. Touches the indexed content search boundary. Search for specific social posts within a feed by keyword

Example Prompts for Curator.io in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Curator.io immediately.

01

"List all active social feeds in my account."

02

"Show me the last 5 posts from the 'Event Hashtag #Tech2024' feed."

03

"What are the social sources for my 'Company Instagram' feed?"

Troubleshooting Curator.io MCP Server with Pydantic AI

Common issues when connecting Curator.io to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Curator.io + Pydantic AI FAQ

Common questions about integrating Curator.io MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Curator.io MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Curator.io to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.