DeckMatch MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Delete Submission, Generate Investment Memo, Get Api Status, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DeckMatch as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The DeckMatch app connector for LlamaIndex is a standout in the Artificial 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DeckMatch. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in DeckMatch?"
)
print(response)
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 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.
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.
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
The DeckMatch MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex 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 DeckMatch tools available for LlamaIndex
When LlamaIndex connects to DeckMatch through Vinkius, your AI agent gets direct access to every tool listed below — spanning pitch-deck-analysis, investment-triage, deal-flow, 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.
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
Connect DeckMatch to LlamaIndex via MCP
Follow these steps to wire DeckMatch into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the DeckMatch MCP Server
LlamaIndex provides unique advantages when paired with DeckMatch through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DeckMatch tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DeckMatch tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DeckMatch, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DeckMatch tools were called, what data was returned, and how it influenced the final answer
DeckMatch + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DeckMatch MCP Server delivers measurable value.
Hybrid search: combine DeckMatch real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DeckMatch to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DeckMatch for fresh data
Analytical workflows: chain DeckMatch queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for DeckMatch in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DeckMatch immediately.
"Analyze this pitch deck: 'https://docsend.com/view/example-deck'."
"Find startups similar to 'Stripe' focusing on 'climate tech payments'."
"Generate an investment memo for submission 'sub_123'."
Troubleshooting DeckMatch MCP Server with LlamaIndex
Common issues when connecting DeckMatch to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDeckMatch + LlamaIndex FAQ
Common questions about integrating DeckMatch MCP Server with LlamaIndex.