Curator.io 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 Curator.io as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Curator.io. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Curator.io?"
)
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 Curator.io MCP Server
Integrate Curator.io, the modern social media aggregator, directly into your AI workflow. Manage your social feeds, monitor recent posts across multiple platforms, and audit your social media sources using natural language.
LlamaIndex agents combine Curator.io 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
- Feed Management — List and retrieve detailed settings for all your aggregated social feeds.
- Post Monitoring — Track recent posts within specific feeds and monitor their status and interaction details.
- Source Discovery — List all social media sources (accounts, hashtags) associated with your feeds.
- Moderation Oversight — Access active moderation and filtering rules to ensure consistent content display.
The Curator.io 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 Curator.io to LlamaIndex via MCP
Follow these steps to integrate the Curator.io 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 Curator.io
Why Use LlamaIndex with the Curator.io MCP Server
LlamaIndex provides unique advantages when paired with Curator.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Curator.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Curator.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Curator.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Curator.io tools were called, what data was returned, and how it influenced the final answer
Curator.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Curator.io MCP Server delivers measurable value.
Hybrid search: combine Curator.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Curator.io 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 Curator.io for fresh data
Analytical workflows: chain Curator.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Curator.io MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Curator.io to LlamaIndex via MCP:
get_account_details
Resolves usage limits and account identifiers. Interacts with the account and billing boundary. Retrieve metadata for your Curator.io account
get_feed_details
Resolves moderation settings, design configurations, and metadata. Interacts with the feed configuration boundary. Get detailed settings and metadata for a specific feed
get_feed_post_count
Resolves quantitative feed metrics. Touches the data aggregation and metrics boundary. Get the total number of posts currently in a feed
list_active_feeds
Resolves operational feed records. Touches the feed status management boundary. Quickly list only the feeds that are currently active
list_feed_posts
Resolves post content, timestamps, and source origin. Touches the content delivery and aggregation boundary. List recent social media posts within a specific feed
list_feed_sources
Resolves source types (Instagram, Twitter, etc.) and connection parameters. Touches the ingestion gateway boundary. List all social media sources (accounts, hashtags) for a feed
list_moderation_rules
Resolves keyword filters and exclusion patterns. Touches the content moderation logic boundary. List active moderation and filtering rules for a feed
list_social_connections
Resolves account identifiers and authentication states. Touches the OAuth and external API integration boundary. List connected social media accounts (Instagram, Twitter, etc.)
list_social_feeds
Resolves feed IDs, names, and current statuses. Interacts with the feed management system. List all social media feeds configured in Curator.io
search_posts_in_feed
Resolves matching post entities. Touches the indexed content search boundary. Search for specific social posts within a feed by keyword
Example Prompts for Curator.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Curator.io immediately.
"List all active social feeds in my account."
"Show me the last 5 posts from the 'Event Hashtag #Tech2024' feed."
"What are the social sources for my 'Company Instagram' feed?"
Troubleshooting Curator.io MCP Server with LlamaIndex
Common issues when connecting Curator.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCurator.io + LlamaIndex FAQ
Common questions about integrating Curator.io 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 Curator.io 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 Curator.io to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.