How to Use the Curator.io MCP in LlamaIndex

Index your social media insights into LlamaIndex for grounded queries.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Curator.io MCP to LlamaIndex

Create your Vinkius account to connect Curator.io to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Curator.io with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground LlamaIndex queries in social data

Query your feed metadata using `get_feed_details` and store the output in your vector index. This ensures your RAG pipeline answers questions based on actual configuration settings. Your agent doesn't guess settings anymore. It reads the live state and builds a searchable index for your team.

Automate index updates for Curator.io

Use `list_feed_posts` to pull recent content into your LlamaIndex knowledge base. You can refresh your vector store whenever new social activity occurs. This keeps your information current without manual imports. The agent manages the synchronization between your feeds and your local index.

Search social history with LlamaIndex

Call `search_posts_in_feed` to retrieve specific historical posts for semantic analysis. You load these results into your index to compare performance across different timeframes. This turns your social archive into a queryable database. Your agent can pinpoint trends by searching through the indexed post entities.

Setup guide

Set up Curator.io MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Curator.io MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Curator.io tools.",
)
response = await agent.run("List recent Curator.io data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Curator.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Curator.io now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Curator.io MCP in LlamaIndex

You use the MCP tool spec to convert server functions into compatible tools. These are then passed to your FunctionAgent for immediate use.

Yes. The tools provide structured output that maps perfectly to vector stores for semantic retrieval.

Yes. You can combine live API data with your existing documents to create a unified knowledge base.

You can restrict agent access by using the allowed tools list. This ensures your agent only interacts with the specific feeds you choose.

We use encrypted transport for all API calls. Your feed content and account details are isolated within a sandbox, ensuring no leakage happens during the indexing phase.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript