K4G Application Triage MCP Server
An MCP server for accelerator programs to query, review, and manage startup applications via natural language. It enables searching applications by sector or impact score, fetching full application details with reviewer notes, listing pending reviews, and flagging applications for panel discussion.
README
Accelerator Application Triage MCP Server (Demo)
A small MCP server that turns startup/founder application triage into something any MCP-compatible AI client (like Claude Desktop) can query in plain language, instead of manually digging through a spreadsheet or form tool.
This was originally built with an accelerator in the food-systems and plant-based innovation space in mind — the kind of program that runs a structured pipeline of applications, scoring, and mentor review each cycle. The tools and mock data reflect that context, but the underlying pattern is generic: any accelerator, incubator, or grant program with an application pipeline could point this same server at their own system of record.
This is a portfolio / demo build, so the mock data here answers questions
specific to that food-systems accelerator context (sector tags like
"alt-protein" and "fermentation," food-sector countries and founders). Swap
src/data.ts for a different dataset and the same four tools would answer
the equivalent questions for a fintech accelerator, a climate-tech program,
or any other domain — what changes is the data, not the architecture. In a
real deployment, src/data.ts would be replaced with calls to whatever
system of record the organization actually uses (Airtable, Notion, a form
tool's API, etc.) — the four tools below wouldn't need to change at all.
That's the point of MCP: the AI client doesn't care what's behind the tool.
What it can answer
- "Which alt-protein applications scored 7+ on impact?"
- "What's still sitting in David's review queue?"
- "What hasn't been picked up by any reviewer yet?"
- "Pull up the full file on K4G-2026-058, including notes."
- "Flag Root & Policy Lab for a full panel discussion — team needs co-founder diligence."
Tools
| Tool | What it does | Modifies data? |
|---|---|---|
k4g_search_applications |
Filter by text, sector, stage, or minimum impact score | No |
k4g_get_application |
Full detail + reviewer notes for one application | No |
k4g_list_pending_review |
Everything still needing a decision, optionally by reviewer | No |
k4g_flag_for_review |
Marks an application for panel discussion and logs why | Yes |
Setup
npm install
npm run build
Running it standalone
npm start
It will sit and wait for MCP messages on stdin/stdout — that's normal, it's designed to be launched by an MCP client, not run interactively.
Connecting to Claude Desktop
-
Open Claude Desktop's config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add this server (replace the path with wherever you put this folder):
{
"mcpServers": {
"k4g-applications": {
"command": "node",
"args": ["/absolute/path/to/k4g-applications-mcp-server/dist/index.js"]
}
}
}
- Restart Claude Desktop. You should see "k4g-applications" listed under the tools/connectors icon, and you can ask questions like the ones above directly in chat.
Extending this toward a real deployment
- Swap
src/data.tsfor a real API client (Airtable/Notion/etc.) — the tool signatures insrc/index.tsstay the same. - Add write tools carefully:
k4g_flag_for_reviewis deliberately the only tool that changes data, and it only ever flags — it never rejects or accepts an application outright, so a human still makes the final call. - For a hosted/shared version (multiple reviewers, not just local use), swap the stdio transport for Streamable HTTP — see the MCP docs at https://modelcontextprotocol.io.
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