Ayrshare MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ayrshare 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 Ayrshare. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Ayrshare?"
)
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 Ayrshare MCP Server
Empower your AI agent to orchestrate your entire social media presence with Ayrshare, the powerful automation engine for modern brands. By connecting Ayrshare to your agent, you transform complex multi-platform publishing into a natural conversation. Your agent can instantly publish posts across Twitter, Facebook, Instagram, and LinkedIn, schedule content for optimal reach, audit engagement analytics, and even manage multiple user profiles without you ever opening a browser tab. Whether you're a content creator or a social media manager, your agent acts as a direct bridge to your social networks, ensuring your brand stays active and data-driven.
LlamaIndex agents combine Ayrshare tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Multi-Platform Publishing — Publish posts immediately to multiple social networks including text and media attachments via natural language.
- Content Scheduling — Schedule future posts with precision timestamps or manage auto-schedule queues for consistent presence.
- Engagement Analytics — Retrieve detailed engagement metrics for specific posts or get high-level social profile analytics.
- Profile Management — Create, list, and manage different user profiles to organize content across various brands or clients.
- History Auditing — Audit your post history to track statuses (Success, Pending, Error) and verify delivery across all channels.
The Ayrshare MCP Server exposes 12 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 Ayrshare to LlamaIndex via MCP
Follow these steps to integrate the Ayrshare 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 12 tools from Ayrshare
Why Use LlamaIndex with the Ayrshare MCP Server
LlamaIndex provides unique advantages when paired with Ayrshare through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ayrshare tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ayrshare tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ayrshare, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ayrshare tools were called, what data was returned, and how it influenced the final answer
Ayrshare + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ayrshare MCP Server delivers measurable value.
Hybrid search: combine Ayrshare real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ayrshare 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 Ayrshare for fresh data
Analytical workflows: chain Ayrshare queries with LlamaIndex's data connectors to build multi-source analytical reports
Ayrshare MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Ayrshare to LlamaIndex via MCP:
create_post
Publish a post immediately to social media platforms
create_profile
Create a new user profile
delete_auto_schedule
Delete auto-schedule for a platform
delete_profile
Delete a user profile
get_account_check
Verify Ayrshare connection
get_post_analytics
Get engagement statistics for a specific post
get_social_analytics
Get profile-level analytics for a specific social network
list_auto_schedules
List all auto-schedule settings
list_history
List history of posts
list_profiles
List all user profiles
schedule_post
Schedule a post for a future date
set_auto_schedule
Set auto-schedule times for a platform
Example Prompts for Ayrshare in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ayrshare immediately.
"Publish 'Hello World!' to Twitter and Facebook immediately."
"Schedule a post for next Monday at 10 AM: 'Join our webinar!' with the image https://example.com/webinar.png"
"Show me the analytics for my last Instagram post."
Troubleshooting Ayrshare MCP Server with LlamaIndex
Common issues when connecting Ayrshare to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAyrshare + LlamaIndex FAQ
Common questions about integrating Ayrshare 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 Ayrshare 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 Ayrshare to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.