Frontier Deal Screener
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Frontier Deal Screenerscore Classiq using the default rubric"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Frontier Deal Screener — MCP Server
A free, self-contained MCP server that serves a curated quantum / deep-tech startup dataset (~34 companies) and a weighted diligence rubric, from a neutral investor/acquirer vantage. No external API, no API keys, no accounts — all data and scoring run locally.
It's the queryable version of the Frontier Deal Screener web tool: instead of a web page, Claude (or any MCP client) can call it directly — "list the interconnect startups", "score Classiq", "rate a deal with these numbers".
Company profiles are illustrative estimates from public information, not assessments of those companies. Weights, tiers, and posture rules are transparent defaults — adjust them to your own thesis (edit
screener_data.py).
Webapp here: https://khorovitz.github.io/quantumdeals/
Tools
Tool | What it does |
| List/filter the dataset by layer, stage, posture, or min conviction |
| Full profile + computed rating + source for one company |
| Score arbitrary inputs → conviction, tier, posture, rationale |
| The dimensions, weights, 0/3/5 anchors, tiers, risk model, sources |
Related MCP server: Wokelo MCP Server
Files
quantum_deal_screener_mcp.py— the MCP server (tools)screener_data.py— the dataset + scoring logic (dependency-free; edit this to tune)requirements.txt— the one dependency (mcp)
Setup
git clone https://github.com/<your-username>/quantum-deal-screener-mcp.git
cd quantum-deal-screener-mcp
python3 -m venv .venv && source .venv/bin/activate # optional but recommended
pip install -r requirements.txt
python3 quantum_deal_screener_mcp.py # runs on stdio; Ctrl-C to stopRequires Python 3.10+.
(There's nothing to see when you run it directly — it waits for an MCP client to connect over stdio. Point a client at it as below.)
Connect it to Claude
This is a local stdio server. Add it to whichever client you use, replacing the paths with the absolute paths on your machine (and the venv's python if you made one).
Claude Desktop / Claude Code — add to your MCP config (e.g. claude_desktop_config.json,
or via Claude Code's MCP settings):
{
"mcpServers": {
"quantum-deal-screener": {
"command": "/absolute/path/to/qds_mcp/.venv/bin/python3",
"args": ["/absolute/path/to/qds_mcp/quantum_deal_screener_mcp.py"]
}
}
}If you didn't make a venv, use your system python3 as the command (make sure
pip install mcp ran for that interpreter).
Test without a client with the MCP Inspector:
npx @modelcontextprotocol/inspector python3 quantum_deal_screener_mcp.pyTune it
Everything lives in screener_data.py:
COMPANIES— add/remove companies or change any profileDIMS— dimension weights and 0/3/5 anchorsTIERS— the tier thresholdsdecide()— the posture logic (acquire/partner/invest/watch/pass)
Change those and the tools reflect it immediately on restart — no other edits needed.
License
MIT — see LICENSE. The bundled company profiles are illustrative estimates from public information for research/education, not investment advice or assessments of the named companies.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
MCP server for VC pitch-deck scoring, thesis-fit matching, and deal-flow management.
AI research on companies and industries — one MCP tool per research domain.
Curated investor database: 10,469 VC, angel, PE, and family office firms with contacts, via MCP.
Real SEC, 13F, insider, congress & macro data your AI agent can cite. Hosted MCP, 24 tools.
Related MCP Servers
AlicenseNot gradedqualityDmaintenanceProvides VC-grade startup intelligence, allowing founders to validate ideas and VCs to screen deals using tools like scoring, investor matching, and financial analysis.18MIT
Wokelo MCP Serverofficial
FlicenseNot gradedqualityDmaintenanceEnables dealmaking research for AI assistants, providing company intelligence, transaction data, and research deliverables via MCP.- MIT
- FlicenseNot gradedqualityCmaintenanceEnables portfolio risk assessment, sentiment analysis, and investment recommendations via MCP tools.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/khorovitz/quantum-startups-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server