_ registry / mcp streamable-http

Runbot Strategy Copilot

https://mcp.runbot.io

Registry code: 170488e2365b348c

api record

Build, backtest, optimize and export crypto trading strategies on the Runbot engine (perpetual futures + Polymarket prediction markets). EASIEST: call quick_strategy ONCE ($3.99) — it builds, OPTIMIZES and prepares the export in a single self-contained paid call and returns a finished, optimized, export-ready strategy (poll the free get_quick_strategy for the deliverable). Or run the à-la-carte flow for granular control: build_strategy -> review backtest metrics -> start_optimization (auto-applies the best variant if it beats the current score) -> get_optimization until completed ->…

endpoint
https://mcp.runbot.io/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
unknown
uptime
—
latency
—

last good check

priced tools
0

of 8 tools

_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 8 tools
8 never probed 0 of 8 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.

  • build_strategy unknown never probed

    Build a trading strategy from a natural-language description and run an initial backtest on the Runbot engine. PAID: $1.50 per call (x402). Metrics are computed on a 30-DAY backtest window by default — fast, and comparable across every strategy you build. Pass backtest_window_days (7-365) to request a longer horizon. Builds EXACTLY ONE strategy per call. To create several strategies (e.g. a bake-off of variants), call this tool once per strategy — each call builds one strategy and is charged separately. Do NOT pack multiple strategies into one description: only the first is built and you are charged for one. Use a FRESH session_id (omit it) for each distinct strategy; reuse a session_id only to refine the SAME strategy.

    mcp-tool

    {
  "type": "object",
  "required": [
    "description"
  ],
  "properties": {
    "market": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional market override, e.g. \"Binance:ETHUSDT\"."
    },
    "timeframe": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional candle timeframe, e.g. \"1h\", \"4h\", \"1d\"."
    },
    "session_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional conversation id for refining THIS strategy. If the\nCALL ITSELF answers needs_clarification, it is NOT charged — call\nagain with the same session_id and more detail. On the OKX / X-Layer\nrail the paid call answers with a job_id instead (you are charged at\nacceptance), so a clarification surfaces later on the FREE poll as\nstatus \"needs_clarification\": that one IS charged, and the remedy is\nnot a second paid call but POST /v1/recover with a refined\ndescription — free, and detailed in the poll response."
    },
    "description": {
      "type": "string",
      "description": "What ONE strategy should do, in plain language — e.g.\n\"EMA 20/50 crossover on BTC with a 2% stop loss, 4h candles\"."
    },
    "market_type": {
      "enum": [
        "perp",
        "polymarket"
      ],
      "type": "string",
      "default": "perp",
      "description": "\"perp\" (perpetual futures) or \"polymarket\" (prediction markets)."
    },
    "backtest_window_days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional backtest window in days (7-365). Metrics\nare computed on a 30-DAY window by default; pass a larger value to\nbacktest over a longer horizon."
    }
  },
  "additionalProperties": false
}
    arguments 70 lines
  • get_build_strategy unknown never probed

    Check an async build_strategy job. FREE — poll every 15-30 seconds.

    mcp-tool

    {
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The job returned by build_strategy."
    }
  },
  "additionalProperties": false
}
    arguments 13 lines
  • run_backtest unknown never probed

    Backtest an existing strategy over a chosen window. PAID: $0.25 per call.

    mcp-tool

    {
  "type": "object",
  "required": [
    "strategy_id"
  ],
  "properties": {
    "strategy_id": {
      "type": "string",
      "description": "The strategy to backtest (from build_strategy)."
    },
    "window_days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Backtest window in days (7-365). If omitted, the backtest\nreuses the strategy's own window — 30 days for strategies built\nhere (metrics default to a 30-day window). Pass a value to override."
    }
  },
  "additionalProperties": false
}
    arguments 25 lines
  • start_optimization unknown never probed

    Start an AI optimization run on a strategy. PAID: $0.25 per requested minute (e.g. 10 minutes = $2.50), charged upfront. The optimizer explores parameter variants for the requested duration and, on completion, AUTOMATICALLY APPLIES the best variant if it beats the strategy's current score — otherwise the strategy is left untouched and the result says so honestly. Variants are scored on a 30-DAY (one-month) window by default — aligned with the build window so current-vs-candidate is a like-for-like comparison, and fast (a short window explores far more variants per minute). Pass backtest_window_days to widen it; it maps to the nearest supported preset (one_week, two_weeks, one_month, three_months, six_months, one_year — up to one year in v1).

    mcp-tool

    {
  "type": "object",
  "required": [
    "strategy_id"
  ],
  "properties": {
    "strategy_id": {
      "type": "string",
      "description": "The strategy to optimize."
    },
    "duration_min": {
      "type": "integer",
      "default": 10,
      "description": "Optimization budget in minutes (2-60). Longer runs\nexplore more variants."
    },
    "backtest_window_days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional scoring window in days. Default 30\n(one_month); mapped to the nearest supported preset up to 365\n(one_year)."
    }
  },
  "additionalProperties": false
}
    arguments 30 lines
  • get_optimization unknown never probed

    Check an optimization job. FREE — poll every 30-60 seconds.

    mcp-tool

    {
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The job returned by start_optimization."
    }
  },
  "additionalProperties": false
}
    arguments 13 lines
  • export_strategy unknown never probed

    Export the full strategy JSON, ready to import into your own Runbot account on app.apevsbot.com. PAID: $0.35 per call.

    mcp-tool

    {
  "type": "object",
  "required": [
    "strategy_id"
  ],
  "properties": {
    "strategy_id": {
      "type": "string",
      "description": "The strategy to export."
    }
  },
  "additionalProperties": false
}
    arguments 13 lines
  • quick_strategy unknown never probed

    One-shot: build + optimize + export a finished strategy in ONE paid call. PAID: $3.99 flat (x402). ONE call delivers a finished, optimized, export-ready strategy: it builds the strategy, runs the AI optimizer over a robust window (auto-applying the best verified variant), and prepares the import-ready export — so you never chain separate calls or need to know to optimize. A raw build is only a BASELINE (often mediocre); the optimization is where performance is unlocked, and this does it for you. (Running the steps à la carte — build_strategy, start_optimization, export_strategy — is possible but requires several paid calls and manual polling.) ASYNC (the full pipeline takes minutes): this returns a job_id IMMEDIATELY; poll get_quick_strategy(job_id) — that call is FREE — until status is "completed", then read the final deliverable (baseline metrics, optimized metrics, the honest before/after improvement, the import-ready export, and live-tradeable / fidelity disclosures). The free poll only retrieves THIS one-shot's own result — it does not depend on any other paid service.

    mcp-tool

    {
  "type": "object",
  "required": [
    "description"
  ],
  "properties": {
    "market": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional market override, e.g. \"Binance:ETHUSDT\"."
    },
    "objective": {
      "anyOf": [
        {
          "enum": [
            "balanced",
            "return",
            "risk",
            "winrate",
            "active"
          ],
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Which optimized variant to auto-apply, when you have a clear\npreference: \"return\" (highest APR), \"risk\" (lowest drawdown /\nsafest), \"winrate\" (highest win rate), \"active\" (most trades), or\n\"balanced\" (best overall score). Omit for the default best overall\nscore. The optimizer computes all variants regardless; this only\nselects which one is applied. A clear objective phrase in the\ndescription (e.g. \"minimize risk\") is honored too. The deliverable\nreturns every variant's metrics so you can compare and re-run with a\ndifferent objective."
    },
    "timeframe": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional candle timeframe, e.g. \"1h\", \"4h\", \"1d\"."
    },
    "description": {
      "type": "string",
      "description": "What ONE strategy should do, in plain language."
    },
    "market_type": {
      "enum": [
        "perp",
        "polymarket"
      ],
      "type": "string",
      "default": "perp",
      "description": "\"perp\" (perpetual futures) or \"polymarket\"."
    },
    "backtest_window_days": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Scoring window in days (7-365). Default 30\n(one_month) — the same window every à-la-carte call uses, so metrics\nare directly comparable across everything you build, and the one-shot\nstays fast. Pass a larger value for a longer, more robust horizon at\nthe cost of a slower run; it maps to the nearest supported optimizer\npreset. (The optimizer RUNTIME is fixed internally at the flat price\n— not a client parameter.)"
    }
  },
  "additionalProperties": false
}
    arguments 77 lines
  • get_quick_strategy unknown never probed

    Check a one-shot (quick_strategy) job. FREE — poll every 30-60 seconds.

    mcp-tool

    {
  "type": "object",
  "required": [
    "job_id"
  ],
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The job returned by quick_strategy."
    }
  },
  "additionalProperties": false
}
    arguments 13 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.

_ for your README measured, not declared

measured by brick.blue

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The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ 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

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_ record

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

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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.