Aspire MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Aspire through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"aspire": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Aspire, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Aspire through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Aspire MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Aspire via MCP
Why Use LangChain with the Aspire MCP Server
LangChain provides unique advantages when paired with Aspire through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Aspire MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Aspire queries for multi-turn workflows
Aspire + LangChain Use Cases
Practical scenarios where LangChain combined with the Aspire MCP Server delivers measurable value.
RAG with live data: combine Aspire tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Aspire, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Aspire tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Aspire tool call, measure latency, and optimize your agent's performance
Aspire MCP Tools for LangChain (8)
These 8 tools become available when you connect Aspire to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Aspire to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAspire + LangChain FAQ
Common questions about integrating Aspire MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.