Phyllo MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Phyllo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"phyllo": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Phyllo, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Phyllo MCP Server
Connect your Phyllo developer integration to any AI agent and track creator analytics cleanly across dozens of social networks concurrently via natural workflow prompts.
LangChain's ecosystem of 500+ components combines seamlessly with Phyllo through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Audience Deep Dives — Query massive, accurate demographics, historical subscriber growth models, and active platform footprints for individual global influencers
- Campaign Tracking — Automatically correlate real-time engagement data on live influencer posts scaling directly across YouTube, TikTok, and Instagram
- Content Aggregation — Ingest raw video and post performance metadata directly into analytical AI arrays
- Identity Verification — Verify social reach legitimately via first-party authenticated account details directly queried from major providers safely
The Phyllo MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Phyllo to LangChain via MCP
Follow these steps to integrate the Phyllo MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Phyllo via MCP
Why Use LangChain with the Phyllo MCP Server
LangChain provides unique advantages when paired with Phyllo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Phyllo MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Phyllo queries for multi-turn workflows
Phyllo + LangChain Use Cases
Practical scenarios where LangChain combined with the Phyllo MCP Server delivers measurable value.
RAG with live data: combine Phyllo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Phyllo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Phyllo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Phyllo tool call, measure latency, and optimize your agent's performance
Phyllo MCP Tools for LangChain (10)
These 10 tools become available when you connect Phyllo to LangChain via MCP:
create_connect_session
Generate a secure Connect session token
get_account_income
Fetch verified income streams linked to the creator account
get_creator_audience
Get detailed demographic info about a creators audience
get_creator_content
Retrieve recent posts, videos, or streams from a creator
get_creator_profile
Get a unified creator profile across platforms
get_engagement_stats
Get engagement analytics for a specific piece of content
get_identity_status
Check if a creator has verified their real-world identity
get_platform_list
List all social platforms supported by Phyllo
get_webhook_status
Check the status and configuration of registered webhooks
search_creators
Search for creators across supported social platforms
Example Prompts for Phyllo in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Phyllo immediately.
"Provide the complete 3-month growth insights for the creator linked to 'uid-9430'."
"List all active posts sponsored by brand XYZ published in the last 48 hours."
"Rank our top 10 verified fitness creators based solely on Instagram comment-to-follower ratio."
Troubleshooting Phyllo MCP Server with LangChain
Common issues when connecting Phyllo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersPhyllo + LangChain FAQ
Common questions about integrating Phyllo MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Phyllo 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 Phyllo to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.