Bring Pitch Deck Analysis
to LlamaIndex
Learn how to connect DeckMatch to LlamaIndex 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 DeckMatch MCP Server?
Connect your DeckMatch (now AlphaLens) account to any AI agent and take full control of your venture capital deal flow and startup analysis workflows through natural conversation.
What you can do
- Deck Orchestration — Submit pitch deck URLs (PDF, PPTX, DocSend) programmatically to trigger automated data extraction and high-fidelity analysis
- Investment Intelligence — Programmatically generate professional investment memos and retrieve AI-driven triage results, including problem/solution and business models
- Semantic Discovery — Use the AlphaLens search engine to find startups matching specific strategic criteria and identify market signals directly through your agent
- Portfolio Monitoring — Access your complete directory of analyzed decks and monitor triage statuses to maintain perfectly coordinated deal flow pipelines
- Operational Monitoring — Check API health status, retrieve audit logs, and manage organization tags to maintain high-fidelity records of your investment activity
How it works
1. Subscribe to this server
2. Retrieve your API Key from your DeckMatch/AlphaLens dashboard settings
3. Start analyzing startup decks and searching your portfolio from Claude, Cursor, or any MCP client
No more manual data entry for every deck. Your AI acts as your dedicated investment associate and portfolio coordinator.
Who is this for?
- Venture Capitalists & VCs — instantly retrieve triage summaries and check startup metrics using natural language commands
- Investment Associates — automate the generation of investment memos and track deal statuses without leaving your workspace
- Accelerator Managers — monitor incoming applications and search for relevant startups through simple AI queries
Built-in capabilities (12)
Remove pitch deck
Create investment memo
Get connectivity info
Get AI triage results
Get audit trail
Get full submission info
Get data sources
List available tags
List all analyzed decks
Find similar startups
Submit a deck for AI analysis
Label a submission
Why LlamaIndex?
LlamaIndex agents combine DeckMatch tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine DeckMatch tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain DeckMatch tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query DeckMatch, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what DeckMatch tools were called, what data was returned, and how it influenced the final answer
DeckMatch in LlamaIndex
DeckMatch and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DeckMatch to LlamaIndex 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 DeckMatch in LlamaIndex
The DeckMatch 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 LlamaIndex 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
DeckMatch for LlamaIndex
Every tool call from LlamaIndex to the DeckMatch MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my DeckMatch API Key?
Log in to your DeckMatch or AlphaLens dashboard and navigate to the Settings or API section to generate your secret key.
What deck formats are supported for analysis?
You can provide URLs for PDF and PPTX files, as well as direct view links from platforms like DocSend.
How does semantic startup search work?
The search_startups_semantically tool uses the AlphaLens engine to match your natural language query against a massive database of startups and their strategic metadata.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query DeckMatch tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp