Bring Venture Capital
to LangChain
Learn how to connect DecileHub to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Enter your DecileHub API Token from Settings > API
3. Start managing your fund operations from Claude, Cursor, or any MCP-compatible client
Who is this for?
- GP / Fund Managers — query fund performance metrics, review portfolio company valuations, and check LP commitments without switching to the dashboard
- Investor Relations — pull LP profiles, commitment summaries, and distribution histories for quarterly reporting
- Fund Administrators — access filings, compliance reports, and company-level allocation data through conversational AI
Built-in capabilities (12)
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
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine DecileHub MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across DecileHub queries for multi-turn workflows
DecileHub in LangChain
DecileHub and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DecileHub to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DecileHub in LangChain
The DecileHub 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
DecileHub for LangChain
Every tool call from LangChain to the DecileHub MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the performance metrics (IRR, TVPI, DPI) of a specific fund?
Yes. The get_fund_performance tool takes a Fund ID and returns IRR (internal rate of return), TVPI (total value to paid-in), DPI (distributions to paid-in), and benchmark comparisons against industry quartiles. Combine it with get_fund for the full fund profile.
How do I track the valuation history of a portfolio company?
Use list_valuations with the Company ID. It returns all historical marks — entry valuation, subsequent round step-ups, quarterly fair market value assessments, and any write-downs. Each mark includes the date, valuation amount, and the methodology used.
Can I access regulatory filings and compliance reports through the AI agent?
Yes. The list_filings tool retrieves all regulatory filings across your funds. For any specific filing, use get_filing_report with the Filing ID to access its full content, including filing type, submission date, regulatory body, and attached documentation.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters