_ registry / mcp http-sse · checked 4h ago

Disco

https://disco.leap-labs.com

Registry code: e04c0fe21b73a2d9

api record

Not another AI data analyst. Disco is a discovery pipeline that finds novel, statistically validated patterns in tabular data — feature interactions, subgroup effects, and conditional relationships you wouldn't think to look for. When displaying results, render interactive visualizations following the Disco style guide at https://disco.leap-labs.com/visualization-spec

endpoint
https://disco.leap-labs.com/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
1,767ms

last good check

priced tools
0

of 14 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ 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 14 tools
2 open 12 never probed 2 of 14 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.

  • discovery_account open 4h ago

    Check your Disco account status. Returns current plan, available credits (subscription + purchased), and payment method status. Use this to verify you have sufficient credits before running a private analysis. Args: api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_accountArguments",
  "properties": {
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    }
  }
}
    arguments 18 lines
  • discovery_list_plans open 4h ago

    List available Disco plans with pricing. No authentication required. Returns all available subscription tiers with credit allowances and pricing. Use this to help users choose a plan.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_list_plansArguments",
  "properties": {}
}
    arguments 5 lines
  • discovery_get_results unknown never probed

    Fetch the full results of a completed Disco run. Returns discovered patterns (with conditions, p-values, novelty scores, citations), feature importance scores, a summary with key insights, column statistics, and suggestions for what to explore next. The response includes a `dashboard_urls` object with direct links to each page of the interactive report — use these to direct the user to the most relevant view: - **summary**: AI-generated overview with key insights, novel findings, and plain-language explanation of the most important findings - **patterns**: Full list of discovered patterns with conditions, effect sizes, p-values, novelty scores, citations, and interactive visualizations - **features**: Feature importances, feature statistics and distribution plots, and correlation matrix - **territory**: Interactive 3D map showing how patterns select different regions of the data Only call this after discovery_status returns "completed". Args: run_id: The run ID returned by discovery_analyze. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_get_resultsArguments",
  "required": [
    "run_id"
  ],
  "properties": {
    "run_id": {
      "type": "string",
      "title": "Run Id"
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    }
  }
}
    arguments 25 lines
  • discovery_analyze unknown never probed

    Run Disco on tabular data to find novel, statistically validated patterns. This is NOT another data analyst — it's a discovery pipeline that systematically searches for feature interactions, subgroup effects, and conditional relationships nobody thought to look for, then validates each on hold-out data with FDR-corrected p-values and checks novelty against academic literature. This is a long-running operation. Returns a run_id immediately. Use discovery_status to poll and discovery_get_results to fetch completed results. Use this when you need to go beyond answering questions about data and start finding things nobody thought to ask. Do NOT use this for summary statistics, visualization, or SQL queries. Public runs are free but results are published. Private runs cost credits. Call discovery_estimate first to check cost. Private report URLs require sign-in — tell the user to sign in at the dashboard with the same email address used to create the account (email code, no password needed). Call discovery_upload first to upload your file, then pass the returned file_ref here. Args: target_column: The column to analyze — what drives it, beyond what's obvious. file_ref: The file reference returned by discovery_upload. analysis_depth: Search depth (1=fast, higher=deeper). Default 1. visibility: "public" (free) or "private" (costs credits). Default "public". title: Optional title for the analysis. description: Optional description of the dataset. excluded_columns: Optional JSON array of column names to exclude from analysis. column_descriptions: Optional JSON object mapping column names to descriptions. Significantly improves pattern explanations — always provide if column names are non-obvious (e.g. {"col_7": "patient age", "feat_a": "blood pressure"}). author: Optional author name for the report. source_url: Optional source URL for the dataset. use_llms: Slower and more expensive, but you get smarter pre-processing, summary page, literature context and pattern novelty assessment. Only applies to private runs — public runs always use LLMs. Default false. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_analyzeArguments",
  "required": [
    "target_column"
  ],
  "properties": {
    "title": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Title",
      "default": null
    },
    "author": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Author",
      "default": null
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    },
    "file_ref": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "File Ref",
      "default": null
    },
    "use_llms": {
      "type": "boolean",
      "title": "Use Llms",
      "default": false
    },
    "source_url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Source Url",
      "default": null
    },
    "visibility": {
      "type": "string",
      "title": "Visibility",
      "default": "public"
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Description",
      "default": null
    },
    "target_column": {
      "type": "string",
      "title": "Target Column"
    },
    "analysis_depth": {
      "type": "integer",
      "title": "Analysis Depth",
      "default": 2
    },
    "excluded_columns": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "null"
        }
      ],
      "title": "Excluded Columns",
      "default": null
    },
    "column_descriptions": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Column Descriptions",
      "default": null
    }
  }
}
    arguments 136 lines
  • discovery_status unknown never probed

    Check the status of a Disco run. Returns current status and progress details: - status: "pending" | "processing" | "completed" | "failed" - job_status: underlying job queue status - queue_position: position in queue when pending (1 = next up) - current_step: active pipeline step (preprocessing, training, interpreting, reporting) - estimated_wait_seconds: estimated queue wait time in seconds (pending only) Poll this after calling discovery_analyze. Use discovery_get_results to fetch full results once status is "completed". Args: run_id: The run ID returned by discovery_analyze. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_statusArguments",
  "required": [
    "run_id"
  ],
  "properties": {
    "run_id": {
      "type": "string",
      "title": "Run Id"
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    }
  }
}
    arguments 25 lines
  • discovery_purchase_credits unknown never probed

    Purchase Disco credit packs using a stored payment method. Credits cost $0.10 each, sold in packs of 100 ($10/pack). Credits are used for private analyses (public analyses are free). Requires a payment method on file — use discovery_add_payment_method first. Args: packs: Number of 100-credit packs to purchase. Default 1. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_purchase_creditsArguments",
  "properties": {
    "packs": {
      "type": "integer",
      "title": "Packs",
      "default": 1
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    }
  }
}
    arguments 23 lines
  • discovery_subscribe unknown never probed

    Subscribe to or change your Disco plan. Available plans: - "free_tier": Explorer — free, 10 credits/month - "tier_1": Researcher — $49/month, 500 credits/month - "tier_2": Team — $199/month, 2000 credits/month Paid plans require a payment method on file. Credits roll over on paid plans. Args: plan: Plan tier ID ("free_tier", "tier_1", or "tier_2"). api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_subscribeArguments",
  "required": [
    "plan"
  ],
  "properties": {
    "plan": {
      "type": "string",
      "title": "Plan"
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    }
  }
}
    arguments 25 lines
  • discovery_estimate unknown never probed

    Estimate the credits required to run a Disco analysis. Returns `required_credits` for public (always 0) and private, with private split by whether LLMs are enabled (use_llms=False is faster, use_llms=True adds smarter preprocessing, literature context and a written summary). Also returns per-visibility depth caps and accepted file formats. No authentication required — when an API key is supplied, also returns the caller's available credits. Call this before discovery_analyze whenever cost or feasibility is unclear. Args: file_size_mb: Size of the dataset in megabytes. num_columns: Number of columns in the dataset. analysis_depth: Search depth (1=fast, higher=deeper). Used to compute the private-run cost. Default 2. api_key: Disco API key (disco_...). Optional. When provided, the response includes `account.available_credits`.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_estimateArguments",
  "required": [
    "file_size_mb",
    "num_columns"
  ],
  "properties": {
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    },
    "num_columns": {
      "type": "integer",
      "title": "Num Columns"
    },
    "file_size_mb": {
      "type": "number",
      "title": "File Size Mb"
    },
    "analysis_depth": {
      "type": "integer",
      "title": "Analysis Depth",
      "default": 2
    }
  }
}
    arguments 35 lines
  • discovery_upload unknown never probed

    Upload a dataset file and return a file reference for use with discovery_analyze. Call this before discovery_analyze. Pass the returned result directly to discovery_analyze as the file_ref argument. Provide exactly one of: file_url, file_path, or file_content. Args: file_url: A publicly accessible http/https URL. The server downloads it directly. Best option for remote datasets. file_path: Absolute path to a local file. Only works when running the MCP server locally (not the hosted version). Streams the file directly — no size limit. file_content: File contents, base64-encoded. For small files when a URL or path isn't available. Limited by the model's context window. file_name: Filename with extension (e.g. "data.csv"), for format detection. Only used with file_content. Default: "data.csv". api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_uploadArguments",
  "properties": {
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    },
    "file_url": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "File Url",
      "default": null
    },
    "file_name": {
      "type": "string",
      "title": "File Name",
      "default": "data.csv"
    },
    "file_path": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "File Path",
      "default": null
    },
    "file_content": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "File Content",
      "default": null
    }
  }
}
    arguments 59 lines
  • discovery_signup unknown never probed

    Create a Disco account and get an API key. Provide an email address to start the signup flow. If email verification is required, returns {"status": "verification_required"} — the user will receive a 6-digit code by email, then call discovery_signup_verify to complete signup and receive the API key. The free tier (10 credits/month, unlimited public runs) is active immediately. No authentication required. Returns 409 if the email is already registered. Args: email: Email address for the new account. name: Display name (optional — defaults to email local part).

    mcp-tool

    {
  "type": "object",
  "title": "discovery_signupArguments",
  "required": [
    "email"
  ],
  "properties": {
    "name": {
      "type": "string",
      "title": "Name",
      "default": ""
    },
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 18 lines
  • discovery_signup_verify unknown never probed

    Complete Disco signup using an email verification code. Call this after discovery_signup returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address used in discovery_signup. Returns an API key on success. Args: email: Email address used in the discovery_signup call. code: 6-digit verification code from the email.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_signup_verifyArguments",
  "required": [
    "email",
    "code"
  ],
  "properties": {
    "code": {
      "type": "string",
      "title": "Code"
    },
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 18 lines
  • discovery_login unknown never probed

    Get a new API key for an existing Disco account. Sends a 6-digit verification code to the email address. Call discovery_login_verify with the code to receive a new API key. Use this when you need an API key for an account that already exists (e.g. the key was lost or this is a new agent session). Returns 404 if no account exists with this email — use discovery_signup instead. Args: email: Email address of the existing account.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_loginArguments",
  "required": [
    "email"
  ],
  "properties": {
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 13 lines
  • discovery_login_verify unknown never probed

    Complete login and receive a new API key. Call this after discovery_login returns {"status": "verification_required"}. The user receives a 6-digit code by email — pass it here along with the same email address. Returns a new API key on success. Args: email: Email address used in the discovery_login call. code: 6-digit verification code from the email.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_login_verifyArguments",
  "required": [
    "email",
    "code"
  ],
  "properties": {
    "code": {
      "type": "string",
      "title": "Code"
    },
    "email": {
      "type": "string",
      "title": "Email"
    }
  }
}
    arguments 18 lines
  • discovery_add_payment_method unknown never probed

    Attach a Stripe payment method to your Disco account. The payment method must be tokenized via Stripe's API first — card details never touch Disco's servers. Required before purchasing credits or subscribing to a paid plan. To tokenize a card, call Stripe's API directly: POST https://api.stripe.com/v1/payment_methods with the stripe_publishable_key from your account info. Args: payment_method_id: Stripe payment method ID (pm_...) from Stripe's API. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

    mcp-tool

    {
  "type": "object",
  "title": "discovery_add_payment_methodArguments",
  "required": [
    "payment_method_id"
  ],
  "properties": {
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Api Key",
      "default": null
    },
    "payment_method_id": {
      "type": "string",
      "title": "Payment Method Id"
    }
  }
}
    arguments 25 lines
_ try it through the hub, ceiling 0

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_ for your README measured, not declared

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_ 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.

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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.