How to Use the Aspire MCP in LangChain

Q: How do I build a campaign report using Aspire and LangChain?

Your agent can chain a few calls together. Start with listprojects, then for each project ID, call getproject and listprojectmembers. LangChain makes it easy to pass the output of one tool as the input for the next.

Connect LangChain to Aspire and build agents that manage your influencer marketing campaigns for you.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Aspire MCP to LangChain

Create your Vinkius account to connect Aspire to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Aspire with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate Campaign Reporting

This server gives your agent read-access to your Aspire account. You can build a chain that calls `list_projects` to get all your campaigns, then loops through them, calling `get_project` and `list_project_members` for each one. The agent assembles a full picture of who's working on what. Forget manual exports. Your LangChain agent can generate these reports on a schedule or on-demand. With LangSmith, you get a full trace of the agent's reasoning, showing exactly which Aspire data it pulled and why. It's not a black box.

Analyze Creator & Content Performance

Find out what's actually working. An agent can use `list_posts` to scan content from a specific campaign, then use `get_post` to dig into the engagement metrics of individual top performers. It can also pull creator profiles with `get_member` to see their stats. This isn't just about pulling data. You're building a process that identifies high-performing content without you lifting a finger. The agent surfaces the wins, so you can focus on strategy instead of digging through dashboards.

Your Aspire MCP Server for LangChain

This isn't a custom API you have to maintain. It's a managed MCP Server that turns Aspire actions into standard tools your LangChain agent already knows how to use. The setup is just a few lines of code to point the client at the Vinkius endpoint. Authentication, schemas, and hosting are handled. You just build the logic. Your agent gets a list of ready-to-use tools for interacting with Aspire, and you can combine them with any of the other 500+ LangChain integrations.

Setup guide

Set up Aspire MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Aspire tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "aspire-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Aspire transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aspire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Aspire now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Aspire MCP in LangChain

Your agent can chain a few calls together. Start with `list_projects`, then for each project ID, call `get_project` and `list_project_members`. LangChain makes it easy to pass the output of one tool as the input for the next.

Yes, that's the point. Using a ReAct-style agent, it can analyze data from `get_post` and decide on its own whether to investigate the creator further using `get_member`. You define the goal, the agent uses the tools to figure out the steps.

Vinkius handles it. You get a single endpoint token for your MCP Server. Your LangChain client uses that token for all requests, so you don't have to manage OAuth or API keys for Aspire directly.

This MCP server standardizes everything. You don't have to write custom wrappers or parsers for the Aspire API. The tools are ready-made for LangChain agents, complete with schemas and descriptions, which saves a ton of boilerplate code.

Your agent accesses creator profiles, project details, and post metrics. Each tool call runs in a dedicated, ephemeral V8 isolate on Vinkius. The environment is destroyed after the call, and your Aspire data is never stored or logged by the platform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript