com.plymove/mcp · v1.0.0 · agents-and-memory
PlyMove is healthy: it completed an MCP handshake in 1950 ms and exposes 6 tools. It scores 58/100.
Pedagogical chess intelligence for AI agents: explain positions and games for a target Elo.
Endpoint: https://mcp.plymove.com/mcp (streamable-http)
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| health | 18.2 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 5 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 5 / 10 |
Scoring v0.3, computed 2026-10-14T21:15:56.922Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T21:15:34.617Z | Healthy | 1950 |
build_game_storyboard | Build a verified Elo-aware game storyboard: opening, story arc, ranked moments, branches, and main lesson. Read-only analysis — does not modify user files or external systems. |
explain_game | Legacy alias for build_game_storyboard — Elo-aware game storyboard (read-only analysis; does not write files). |
find_teaching_moments | Legacy alias for build_game_storyboard — ranked storyboard chapters from a PGN (read-only analysis). |
explain_position | Explain a single position for a target learner Elo (read-only analysis). |
compare_moves | Compare candidate moves at a position for a learner (read-only analysis). |
analyze_what_if | Analyze a user-requested alternative at a mainline decision point: legal SAN validation, Stockfish continuation, Maia naturalness, teaching point, and annotated RAV PGN (read-only). |