Aspire MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Aspire 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 Aspire. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Aspire?"
)
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 Aspire MCP Server
The Aspire MCP Server empowers your AI agent to manage your influencer marketing and creator relationships directly from your workspace. Gain instant visibility into your campaigns, audit creator profiles, and monitor content performance using simple natural language.
LlamaIndex agents combine Aspire tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.
Key Features
- Project Oversight — List all active and archived projects/campaigns and retrieve detailed metadata for any specific initiative.
- Creator Management — Access profiles of creators and members associated with your projects to ensure high-quality partnerships.
- Content Tracking — Monitor social posts and content performance, including engagement metrics and URLs.
- Campaign Intelligence — Quickly analyze project statuses and brand participation without navigating complex dashboards.
- Search & Discovery — Use powerful tools to find specific members or posts across your entire influencer database.
- Secure API Integration — Uses your Aspire
X-API-Keyfor safe and authenticated access to your marketing data.
The Aspire MCP Server exposes 8 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 Aspire to LlamaIndex via MCP
Follow these steps to integrate the Aspire 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 8 tools from Aspire
Why Use LlamaIndex with the Aspire MCP Server
LlamaIndex provides unique advantages when paired with Aspire through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Aspire tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Aspire tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Aspire, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Aspire tools were called, what data was returned, and how it influenced the final answer
Aspire + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Aspire MCP Server delivers measurable value.
Hybrid search: combine Aspire real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Aspire 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 Aspire for fresh data
Analytical workflows: chain Aspire queries with LlamaIndex's data connectors to build multi-source analytical reports
Aspire MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Aspire to LlamaIndex via MCP:
get_account_check
Verify Aspire account connection
get_member
Get detailed profile for a specific creator/member
get_post
Get engagement metrics for a specific post
get_project
Get details for a specific project
list_campaigns
Alias for list_projects. Lists marketing campaigns
list_posts
List social posts and content performance
list_project_members
List creators and members associated with a project
list_projects
List all active and archived projects/campaigns in Aspire
Example Prompts for Aspire in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Aspire immediately.
"List all my active marketing projects in Aspire."
"Who are the creators participating in the 'Summer Outreach' project?"
"Show me the engagement metrics for post ID '998877'."
Troubleshooting Aspire MCP Server with LlamaIndex
Common issues when connecting Aspire to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAspire + LlamaIndex FAQ
Common questions about integrating Aspire 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 Aspire 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 Aspire to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.