# Disco (remote · disco.leap-labs.com)

Find novel, statistically validated patterns in tabular data — hypothesis-free.

- Trust score: 65/100 (medium)
- Change this week: +6
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `disco.leap-labs.com`: 65/100 (this document), [markdown](https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco.md), [page](https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco)

## Channel facts

- Endpoint: `https://disco.leap-labs.com/mcp`
- Transports: `streamable-http`
- Auth: `required`
- Version: `1.0.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (discovery_analyze).
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 69/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2605 tokens (~186/item across 14 items; 14 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-leap-labs-discovery-engine https://disco.leap-labs.com/mcp
```

### Codex

```toml
[mcp_servers.com-leap-labs-discovery-engine]
url = "https://disco.leap-labs.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-leap-labs-discovery-engine": {
      "type": "remote",
      "url": "https://disco.leap-labs.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-leap-labs-discovery-engine --url https://disco.leap-labs.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-leap-labs-discovery-engine:
    url: "https://disco.leap-labs.com/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-leap-labs-discovery-engine": {
      "type": "http",
      "url": "https://disco.leap-labs.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 64, +3)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 61, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 59, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 59)

First indexed and scored.

## MCP tools (14)

### `discovery_list_plans` (~45 tokens)

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.

Output parameters:

- `result` (string)

### `discovery_estimate` (~240 tokens)

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`.

Input parameters:

- `analysis_depth` (integer)
- `api_key`
- `file_size_mb` (number, required)
- `num_columns` (integer, required)

Output parameters:

- `result` (string)

### `discovery_upload` (~250 tokens)

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.

Input parameters:

- `api_key`
- `file_content`
- `file_name` (string)
- `file_path`
- `file_url`

Output parameters:

- `result` (string)

### `discovery_analyze` (~558 tokens)

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…

Input parameters:

- `analysis_depth` (integer)
- `api_key`
- `author`
- `column_descriptions`
- `description`
- `excluded_columns`
- `file_ref`
- `source_url`
- `target_column` (string, required)
- `title`
- `use_llms` (boolean)
- `visibility` (string)

Output parameters:

- `result` (string)

### `discovery_status` (~181 tokens)

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.

Input parameters:

- `api_key`
- `run_id` (string, required)

Output parameters:

- `result` (string)

### `discovery_get_results` (~259 tokens)

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.

Input parameters:

- `api_key`
- `run_id` (string, required)

Output parameters:

- `result` (string)

### `discovery_account` (~82 tokens)

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.

Input parameters:

- `api_key`

Output parameters:

- `result` (string)

### `discovery_signup` (~150 tokens)

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).

Input parameters:

- `email` (string, required)
- `name` (string)

Output parameters:

- `result` (string)

### `discovery_signup_verify` (~110 tokens)

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.

Input parameters:

- `code` (string, required)
- `email` (string, required)

Output parameters:

- `result` (string)

### `discovery_login` (~119 tokens)

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.

Input parameters:

- `email` (string, required)

Output parameters:

- `result` (string)

### `discovery_login_verify` (~107 tokens)

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.

Input parameters:

- `code` (string, required)
- `email` (string, required)

Output parameters:

- `result` (string)

### `discovery_add_payment_method` (~154 tokens)

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.

Input parameters:

- `api_key`
- `payment_method_id` (string, required)

Output parameters:

- `result` (string)

### `discovery_purchase_credits` (~126 tokens)

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.

Input parameters:

- `api_key`
- `packs` (integer)

Output parameters:

- `result` (string)

### `discovery_subscribe` (~154 tokens)

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.

Input parameters:

- `api_key`
- `plan` (string, required)

Output parameters:

- `result` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco#diagnostics

## Score history

- 2026-08-03: 65
- 2026-08-02: 65
- 2026-08-01: 64
- 2026-07-31: 64
- 2026-07-30: 61
- 2026-07-29: 61
- 2026-07-28: 60
- 2026-07-27: 59
- 2026-07-26: 59

## Links

- Remote endpoint: https://disco.leap-labs.com/mcp
- Authorisation metadata: https://disco.leap-labs.com/.well-known/oauth-protected-resource/mcp
- Repository: https://github.com/leap-laboratories/discovery-engine
- Website: https://www.leap-labs.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-leap-labs-discovery-engine/disco