# Kindrat86 Vc Deal Flow Signal MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.kindrat86%2Fvc-deal-flow-signal
Registry id: `mcp-registry/io.github.kindrat86/vc-deal-flow-signal`
Status: live (checked 2026-10-27T02:30:47.693Z)

## Verdict

Kindrat86 Vc Deal Flow Signal MCP server answered 100% of Glimind's liveness checks over 30 days, better than 42% of MCP servers, with 1021 ms median handshake and 2 outages in 90 days. Its agent-readiness grade is A (96/100) across 12 tools, costing an agent about 2,414 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 100% | 42% of MCP servers |
| Median handshake latency | 1021 ms | 20% of MCP servers |
| p95 handshake latency | 3554 ms | — |
| Checks in 30 days | 4,935 | — |
| Outages, 90 days | 2 | — |
| Median recovery | 7 min | — |
| Agent-readiness score | 96/100 (A) | 82% of MCP servers |
| Tools | 12 | — |
| Tool-list size for an agent | ~2,414 tokens | 50% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "kindrat86-vc-deal-flow-signal-mcp-server": {
      "type": "http",
      "url": "https://signals.gitdealflow.com/api/mcp/rpc"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http kindrat86-vc-deal-flow-signal-mcp-server https://signals.gitdealflow.com/api/mcp/rpc
```

## Tools (12)

- `compare_signals`: Score and rank 2-5 named startups side by side, returning each one's acceleration score, evidence, and raise-likelihood band plus a single recommendation for wh
- `get_deep_signal`: PAID per-request, €0.19/call, 100 credits = €19 at https://signals.gitdealflow.com/agents/credits. Returns enriched signal beyond the free get_startup_signal: c
- `get_diligence_dossier`: Public-source diligence dossier for a company or entity in one cited object: who acquired it (M&A history), which funds publicly backed it, and its published en
- `get_methodology`: Full methodology document covering data sources, metric computation, signal classification thresholds, refresh cadence, and known limitations.
- `get_scout_receipts`: Compute a Scout Score (0-100) for a GitHub user from their public starring history. Cross-references starred repos against ~75 validated unicorns and grades how
- `get_signals_summary`: Period, sector and startup counts, last refresh, citation, and direct URLs to every machine-readable format.
- `get_startup_signal`: Full engineering-acceleration profile for a single tracked startup, by display name or GitHub org slug. Case-insensitive, normalization-tolerant.
- `get_trending_startups`: Top 20 startups by engineering acceleration across all 15 sectors for the current weekly period. Read-only, idempotent.
- `predict_funding`: Transparent, scored funding-likelihood claim for one tracked startup, with the full evidence chain and citable provenance. Instead of an opaque number, returns 
- `search_startups_by_sector`: Every tracked startup within a sector, ranked by engineering acceleration. Sector slug must be one of 15 enumerated values.
- `share_result`: Generate a ready-to-share social-media post (tweet, Bluesky, Mastodon, LinkedIn, Telegram) about a result the user just received from another VC Deal Flow Signa
- `shortlist_signals`: Return a ranked shortlist of the strongest engineering-acceleration signals matching a set of filters, the whole sourcing workflow in ONE call (e.g. 'the 5 stro

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.