CrowdTangle 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 CrowdTangle 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 CrowdTangle "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in CrowdTangle?"
)
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 CrowdTangle MCP Server
Integrate CrowdTangle, the public insights tool from Meta, directly into your AI workflow. Monitor social media trends, track how links are being shared across platforms, and identify high-performing content using natural language.
Pydantic AI validates every CrowdTangle 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
- Post Monitoring — List and search for recent public posts on Facebook, Instagram, and other supported platforms.
- Viral Discovery — Identify overperforming and viral content based on actual vs. expected interaction.
- Link Tracking — See which public accounts and pages have shared specific URLs.
- Leaderboards & Lists — Monitor account leaderboards and manage your custom tracking lists.
The CrowdTangle 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 CrowdTangle to Pydantic AI via MCP
Follow these steps to integrate the CrowdTangle 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 CrowdTangle with type-safe schemas
Why Use Pydantic AI with the CrowdTangle MCP Server
Pydantic AI provides unique advantages when paired with CrowdTangle 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 CrowdTangle integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CrowdTangle connection logic from agent behavior for testable, maintainable code
CrowdTangle + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CrowdTangle MCP Server delivers measurable value.
Type-safe data pipelines: query CrowdTangle with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CrowdTangle tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CrowdTangle and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CrowdTangle responses and write comprehensive agent tests
CrowdTangle MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect CrowdTangle to Pydantic AI via MCP:
get_account_details
Touches dashboard settings, API rate limits, and workspace configuration boundaries. Retrieve metadata for your CrowdTangle account
get_account_leaderboard
Resolves account rankings, total interactions, and average engagement rates. Get engagement leaderboard for accounts in your lists
get_link_shares
Resolves which tracked accounts shared the link, their follower counts, and total interactions generated per share. See which accounts have shared a specific URL
get_post_details
Touches reaction breakdowns, share history, and platform-specific metadata boundaries. Get full engagement details for a specific post ID
get_top_performing_posts
Resolves "score" metrics (actual vs expected interactions) and associated social media metadata. Get the highest performing posts based on actual vs. expected interaction
list_media_posts
Resolves media URLs, content types (Photo, Video), and associated post captions. List recent posts that contain photos or videos
list_monitored_lists
Resolves list IDs, names, platform affiliations, and the number of accounts within each list. List all account lists you are tracking
list_recent_posts
Resolves post content, platform identifiers (Facebook, Instagram, etc.), account names, and engagement metrics (likes, shares, comments). List recent social media posts tracked by CrowdTangle
search_posts_by_keyword
Resolves relevant posts, associated accounts, and comparative performance data. Search for posts across platforms using a keyword
search_tracking_lists
Resolves list metadata matching the specified title filter. Search for specific tracking lists by title
Example Prompts for CrowdTangle in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with CrowdTangle immediately.
"Search for recent viral posts about 'Electric Vehicles' on Instagram."
"Who has shared the link 'https://vinkius.com/blog/mcp-server' recently?"
"Show me the engagement leaderboard for my 'Competitors' list."
Troubleshooting CrowdTangle MCP Server with Pydantic AI
Common issues when connecting CrowdTangle to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCrowdTangle + Pydantic AI FAQ
Common questions about integrating CrowdTangle 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 CrowdTangle 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 CrowdTangle to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.