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CrowdTangle MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CrowdTangle through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "crowdtangle": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "CrowdTangle Agent",
    instructions:
      "You help users interact with CrowdTangle " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with CrowdTangle?"
  );
  console.log(result.text);
}

main();
CrowdTangle
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and CrowdTangle tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra 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 Mastra AI via MCP

Follow these steps to integrate the CrowdTangle MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from CrowdTangle via MCP

Why Use Mastra AI with the CrowdTangle MCP Server

Mastra AI provides unique advantages when paired with CrowdTangle through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CrowdTangle without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every CrowdTangle tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

CrowdTangle + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the CrowdTangle MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query CrowdTangle, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed CrowdTangle as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query CrowdTangle on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using CrowdTangle tools alongside other MCP servers

CrowdTangle MCP Tools for Mastra AI (10)

These 10 tools become available when you connect CrowdTangle to Mastra AI via MCP:

01

get_account_details

Touches dashboard settings, API rate limits, and workspace configuration boundaries. Retrieve metadata for your CrowdTangle account

02

get_account_leaderboard

Resolves account rankings, total interactions, and average engagement rates. Get engagement leaderboard for accounts in your lists

03

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

04

get_post_details

Touches reaction breakdowns, share history, and platform-specific metadata boundaries. Get full engagement details for a specific post ID

05

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

06

list_media_posts

Resolves media URLs, content types (Photo, Video), and associated post captions. List recent posts that contain photos or videos

07

list_monitored_lists

Resolves list IDs, names, platform affiliations, and the number of accounts within each list. List all account lists you are tracking

08

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

09

search_posts_by_keyword

Resolves relevant posts, associated accounts, and comparative performance data. Search for posts across platforms using a keyword

10

search_tracking_lists

Resolves list metadata matching the specified title filter. Search for specific tracking lists by title

Example Prompts for CrowdTangle in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with CrowdTangle immediately.

01

"Search for recent viral posts about 'Electric Vehicles' on Instagram."

02

"Who has shared the link 'https://vinkius.com/blog/mcp-server' recently?"

03

"Show me the engagement leaderboard for my 'Competitors' list."

Troubleshooting CrowdTangle MCP Server with Mastra AI

Common issues when connecting CrowdTangle to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

CrowdTangle + Mastra AI FAQ

Common questions about integrating CrowdTangle MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect CrowdTangle to Mastra AI

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