_ registry / mcp streamable-http · checked 5h ago

PlyMove Storyboard

https://mcp.plymove.com

Registry code: b50cb7a71114aefe

api record

Pedagogical chess intelligence for AI agents: explain positions and games for a target Elo.

from a public catalogue that lists it, not from the operator

endpoint
https://mcp.plymove.com/mcp
protocol
streamable-http ·2025-03-26
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is PlyMove Storyboard live?
Yes — it answered the hub's last check (checked 5h ago). It answered 100% of checks over the last 30 days.
Is PlyMove Storyboard free to use?
No — it charges per call, from 0.015 USDC, quoted in its own 402 answers.
What tools does PlyMove Storyboard have?
6 tools: analyze_what_if, explain_position, compare_moves, build_game_storyboard, find_teaching_moments, explain_game.
Is PlyMove Storyboard safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.7%

90 days 99.6%· all time 99.6%

latency
304ms

last good check

priced tools
6

of 6 tools

_ answered our checks, 90 days 486 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • degraded → live
  • live → degraded· timeout after 20000ms
_ what it is for
topic
games & entertainment games
used for
  • explain a chess position for a rating
  • build a storyboard of a chess game
  • compare candidate chess moves
  • analyze an alternative move
takes → gives
text → text, data
tools
6 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 6 tools
6 paid 6 of 6 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • analyze_what_if reads 0.045 USDC paid 5h ago

    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).

    mcp-tool

    {
  "type": "object",
  "required": [
    "alternative_move_san",
    "target_elo"
  ],
  "properties": {
    "pgn": {
      "type": "string",
      "description": "Full game PGN (or use analysis_id from a prior storyboard)"
    },
    "anchor_ply": {
      "type": "integer",
      "description": "Mainline ply of the played move (decision point)"
    },
    "move_label": {
      "type": "string",
      "description": "Human move label e.g. 17...Be6 or 24.Rxd4"
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400
    },
    "analysis_id": {
      "type": "string",
      "description": "Stored analysis id when PGN is omitted"
    },
    "engine_depth": {
      "type": "integer",
      "maximum": 20,
      "minimum": 4
    },
    "analysis_profile": {
      "enum": [
        "fast",
        "chatgpt",
        "standard",
        "deep"
      ],
      "type": "string",
      "description": "Time/depth budget profile"
    },
    "max_branch_plies": {
      "type": "integer",
      "maximum": 16,
      "minimum": 2,
      "description": "Max continuation plies"
    },
    "alternative_move_san": {
      "type": "string",
      "description": "Requested alternative in SAN — never auto-substituted"
    }
  }
}
    arguments 55 lines
  • explain_position reads 0.015 USDC paid 5h ago

    Explain a single position for a target learner Elo (read-only analysis).

    mcp-tool

    {
  "type": "object",
  "required": [
    "fen",
    "target_elo"
  ],
  "properties": {
    "fen": {
      "type": "string",
      "description": "Position FEN"
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400,
      "description": "Learner Elo rating"
    }
  }
}
    arguments 19 lines
  • compare_moves reads paid never probed

    Compare candidate moves at a position for a learner (read-only analysis).

    mcp-tool

    {
  "type": "object",
  "required": [
    "fen",
    "moves",
    "target_elo"
  ],
  "properties": {
    "fen": {
      "type": "string",
      "description": "Position FEN"
    },
    "moves": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Candidate moves in SAN"
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400,
      "description": "Learner Elo rating"
    }
  }
}
    arguments 27 lines
  • build_game_storyboard reads 0.12 USDC paid 16h ago

    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.

    mcp-tool

    {
  "type": "object",
  "required": [
    "pgn",
    "target_elo"
  ],
  "properties": {
    "pgn": {
      "type": "string",
      "description": "Full game PGN"
    },
    "language": {
      "type": "string",
      "default": "en",
      "description": "Output language (e.g. en)"
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400,
      "description": "Learner Elo rating"
    },
    "max_moments": {
      "type": "integer",
      "default": 5,
      "maximum": 12,
      "minimum": 1,
      "description": "Maximum storyboard chapters"
    },
    "engine_depth": {
      "type": "integer",
      "maximum": 24,
      "minimum": 4,
      "description": "Stockfish depth for deep analysis"
    },
    "output_format": {
      "enum": [
        "annotated_pgn",
        "storyboard_json",
        "both"
      ],
      "type": "string",
      "default": "both",
      "description": "Return annotated PGN, JSON storyboard, or both (default both)."
    },
    "shallow_depth": {
      "type": "integer",
      "maximum": 20,
      "minimum": 4,
      "description": "Stockfish depth for selective shallow scan (defaults to min(engine_depth, 10))"
    },
    "include_rendered_story": {
      "type": "boolean",
      "default": true,
      "description": "Include accessible recap prose"
    }
  }
}
    arguments 58 lines
  • find_teaching_moments reads 0.12 USDC paid 5h ago

    Legacy alias for build_game_storyboard — ranked storyboard chapters from a PGN (read-only analysis).

    mcp-tool

    {
  "type": "object",
  "required": [
    "pgn",
    "target_elo"
  ],
  "properties": {
    "pgn": {
      "type": "string",
      "description": "Full game PGN"
    },
    "verbosity": {
      "enum": [
        "minimal",
        "standard",
        "detailed"
      ],
      "type": "string",
      "description": "Storyboard chapter count: minimal (~3), standard (~5), detailed (~8)."
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400,
      "description": "Learner Elo rating"
    }
  }
}
    arguments 28 lines
  • explain_game reads 0.12 USDC paid 16h ago

    Legacy alias for build_game_storyboard — Elo-aware game storyboard (read-only analysis; does not write files).

    mcp-tool

    {
  "type": "object",
  "required": [
    "pgn",
    "target_elo"
  ],
  "properties": {
    "pgn": {
      "type": "string",
      "description": "Full game PGN"
    },
    "verbosity": {
      "enum": [
        "minimal",
        "standard",
        "detailed"
      ],
      "type": "string",
      "description": "Storyboard chapter count: minimal (~3), standard (~5), detailed (~8)."
    },
    "target_elo": {
      "type": "integer",
      "maximum": 3500,
      "minimum": 400,
      "description": "Learner Elo rating"
    }
  }
}
    arguments 28 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id b50cb7a71114aefe.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/b50cb7a71114aefe/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/b50cb7a71114aefe/badge.svg)](https://brick.blue/agent/b50cb7a71114aefe?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.