Oktopost 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 Oktopost 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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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 Oktopost. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Oktopost?"
)
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 Oktopost MCP Server
Connect your Oktopost account to your AI agent and streamline your B2B social media marketing and lead generation through natural conversation.
LlamaIndex agents combine Oktopost 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
- Campaign Management — List all active and archived social media campaigns and retrieve detailed settings.
- Profile Oversight — Access metadata and connection statuses for all your linked social profiles (LinkedIn, Twitter, Facebook, etc.).
- Post Monitoring — List scheduled and sent social media messages across all campaigns and check their content.
- Lead & Contact Tracking — Retrieve a list of leads and contacts identified through social media engagement.
- Analytics Reporting — Fetch aggregated performance reports for specific metrics like clicks and shares.
- Conversion Tracking — Monitor successful goal completions and conversions attributed to your social activities.
- Deep Inspection — Fetch complete metadata for specific campaigns, messages, or social profiles using their unique IDs.
The Oktopost 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 Oktopost to LlamaIndex via MCP
Follow these steps to integrate the Oktopost 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 Oktopost
Why Use LlamaIndex with the Oktopost MCP Server
LlamaIndex provides unique advantages when paired with Oktopost through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Oktopost tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Oktopost tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Oktopost, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Oktopost tools were called, what data was returned, and how it influenced the final answer
Oktopost + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Oktopost MCP Server delivers measurable value.
Hybrid search: combine Oktopost real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Oktopost 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 Oktopost for fresh data
Analytical workflows: chain Oktopost queries with LlamaIndex's data connectors to build multi-source analytical reports
Oktopost MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Oktopost to LlamaIndex via MCP:
get_analytics_report
Get social analytics report
get_campaign_details
Get specific campaign info
get_message_details
Get specific message details
get_social_profile_details
Get specific profile info
list_campaigns
List social media campaigns
list_oktopost_tags
List organization tags
list_social_contacts
List social leads and contacts
list_social_conversions
List social-driven conversions
list_social_messages
List scheduled and sent messages
list_social_profiles
) connected to the account. List connected social profiles
Example Prompts for Oktopost in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Oktopost immediately.
"List all my active social media campaigns."
"What is the click engagement for the 'Summer Promo' campaign?"
"Show me the latest leads identified from LinkedIn."
Troubleshooting Oktopost MCP Server with LlamaIndex
Common issues when connecting Oktopost to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOktopost + LlamaIndex FAQ
Common questions about integrating Oktopost 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 Oktopost 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 Oktopost to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.