Phyllo 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 Phyllo 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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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 Phyllo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Phyllo?"
)
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 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.
LlamaIndex agents combine Phyllo 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
- 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 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 Phyllo to LlamaIndex via MCP
Follow these steps to integrate the Phyllo 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 Phyllo
Why Use LlamaIndex with the Phyllo MCP Server
LlamaIndex provides unique advantages when paired with Phyllo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Phyllo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Phyllo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Phyllo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Phyllo tools were called, what data was returned, and how it influenced the final answer
Phyllo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Phyllo MCP Server delivers measurable value.
Hybrid search: combine Phyllo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Phyllo 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 Phyllo for fresh data
Analytical workflows: chain Phyllo queries with LlamaIndex's data connectors to build multi-source analytical reports
Phyllo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Phyllo to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Phyllo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPhyllo + LlamaIndex FAQ
Common questions about integrating Phyllo 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 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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.