Generate hyper-personalized cold email sequences via AI.
Dev & Codev1.0.1streamable-httpmcp.machfive.io repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 262ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo machfive@2.14.7 |
| tooling | 35 / 35 | tools/list OK: 6 tools e.g. "list_campaigns"; 6/6 described, 6/6 fully-typed schemas, median description 347 chars |
| latency | 10 / 10 | initialize round-trip 262ms |
| provenance | 15 / 15 | description present; repository linked; version 1.0.1; namespace io.github.Bluecraft-AI matches endpoint/repo |
Score 100/100 · latency 262ms · 6 tools · auth: open
Claude Code:
claude mcp add --transport http cold-email https://mcp.machfive.io/mcp/{api_key}
Generic MCP client config:
{ "mcpServers": { "cold-email": { "type": "http", "url": "https://mcp.machfive.io/mcp/{api_key}" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/io.github.Bluecraft-AI/cold-email · referral link https://mcpqueen.com/go/io.github.Bluecraft-AI/cold-email (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/io.github.Bluecraft-AI/cold-email)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-13 13:30 | A | 100 | 262ms |