DecileHub MCP Server for LangChainGive LangChain instant access to 12 tools to Check Decilehub Status, Get Company, Get Filing Report, and more
LangChain is the leading Python framework for composable LLM applications. Connect DecileHub 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 App Connector for LangChain
The DecileHub app connector for LangChain is a standout in the Business Intelligence category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"decilehub": {
"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 DecileHub, 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 DecileHub MCP Server
Connect your DecileHub account to any AI agent and take full control of your venture capital and private equity fund operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with DecileHub through native MCP adapters. Connect 12 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.
What you can do
- Fund Management — List all funds with AUM, strategy, and vintage year, and inspect individual fund details including commitments and portfolio allocation
- Performance Analytics — Retrieve IRR, TVPI, DPI, and benchmark comparisons for any fund
- Portfolio Companies — Browse all portfolio companies with valuations, fund allocations, and investment round history
- Valuation Tracking — Access historical valuation marks and unrealized value changes over time for each portfolio company
- LP Management — List limited partners with commitment amounts, distributions, and allocation profiles
- Regulatory Compliance — Browse and download regulatory filings and compliance reports
The DecileHub MCP Server exposes 12 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.
All 12 DecileHub tools available for LangChain
When LangChain connects to DecileHub through Vinkius, your AI agent gets direct access to every tool listed below — spanning venture-capital, fund-management, portfolio-analytics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Get company details
Get filing report
Get fund details
Get fund performance
Get investor details
List companies by fund
List filings
List funds
List investors (LPs)
List portfolio companies
List company valuations
Connect DecileHub to LangChain via MCP
Follow these steps to wire DecileHub into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the DecileHub MCP Server
LangChain provides unique advantages when paired with DecileHub through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine DecileHub 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 DecileHub queries for multi-turn workflows
DecileHub + LangChain Use Cases
Practical scenarios where LangChain combined with the DecileHub MCP Server delivers measurable value.
RAG with live data: combine DecileHub tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query DecileHub, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain DecileHub tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every DecileHub tool call, measure latency, and optimize your agent's performance
Example Prompts for DecileHub in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with DecileHub immediately.
"Show the performance metrics for our Fund III and compare against industry benchmarks."
"List all portfolio companies in Fund II and show their current valuations."
"Show me all our LPs and their total commitments across all funds."
Troubleshooting DecileHub MCP Server with LangChain
Common issues when connecting DecileHub to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDecileHub + LangChain FAQ
Common questions about integrating DecileHub 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.