CrowdTangle MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CrowdTangle as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CrowdTangle. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in CrowdTangle?"
)
print(response)
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.
LlamaIndex agents combine CrowdTangle tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the CrowdTangle MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the CrowdTangle MCP Server
LlamaIndex provides unique advantages when paired with CrowdTangle through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CrowdTangle tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CrowdTangle tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CrowdTangle, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CrowdTangle tools were called, what data was returned, and how it influenced the final answer
CrowdTangle + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CrowdTangle MCP Server delivers measurable value.
Hybrid search: combine CrowdTangle real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CrowdTangle to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CrowdTangle for fresh data
Analytical workflows: chain CrowdTangle queries with LlamaIndex's data connectors to build multi-source analytical reports
CrowdTangle MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect CrowdTangle to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CrowdTangle to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCrowdTangle + LlamaIndex FAQ
Common questions about integrating CrowdTangle MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.