Bring Venture Capital
to CrewAI
Learn how to connect DecileHub to CrewAI 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 CrewAI?
When paired with CrewAI, DecileHub becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DecileHub tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
DecileHub in CrewAI
DecileHub and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DecileHub to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.