此 MCP 可以做什么
Analyzes tabular datasets to discover novel feature interactions and subgroup patterns, statistically validates findings, and provides citations and reports.
功能
工具
14
工具
discovery_account
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.
只读
输入模式
{'type': 'object', 'title': 'discovery_accountArguments', 'properties': {'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}}}
输出模式
{'type': 'object', 'title': 'discovery_accountOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_add_payment_method
Attach a Stripe payment method to your Disco account.
The payment method must be tokenized via Stripe's API first â 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.
幂等
输入模式
{'type': 'object', 'title': 'discovery_add_payment_methodArguments', 'required': ['payment_method_id'], 'properties': {'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}, 'payment_method_id': {'type': 'string', 'title': 'Payment Method Id'}}}
输出模式
{'type': 'object', 'title': 'discovery_add_payment_methodOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_analyze
Run Disco on tabular data to find novel, statistically validated patterns.
This is NOT another data analyst â 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 â 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 â 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 â 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 â public runs always use LLMs. Default false.
api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.
可能执行破坏性操作
输入模式
{'type': 'object', 'title': 'discovery_analyzeArguments', 'required': ['target_column'], 'properties': {'title': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Title', 'default': None}, 'author': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Author', 'default': None}, 'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}, 'file_ref': {'anyOf': [{'type': 'string'}, {'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'File Ref', 'default': None}, 'use_llms': {'type': 'boolean', 'title': 'Use Llms', 'default': False}, 'source_url': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Source Url', 'default': None}, 'visibility': {'type': 'string', 'title': 'Visibility', 'default': 'public'}, 'description': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Description', 'default': None}, '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': None}, 'column_descriptions': {'anyOf': [{'type': 'string'}, {'type': 'object', 'additionalProperties': True}, {'type': 'null'}], 'title': 'Column Descriptions', 'default': None}}}
输出模式
{'type': 'object', 'title': 'discovery_analyzeOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_estimate
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 â 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`.
只读
输入模式
{'type': 'object', 'title': 'discovery_estimateArguments', 'required': ['file_size_mb', 'num_columns'], 'properties': {'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}, '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}}}
输出模式
{'type': 'object', 'title': 'discovery_estimateOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_get_results
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 â 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.
只读
输入模式
{'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': None}}}
输出模式
{'type': 'object', 'title': 'discovery_get_resultsOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_list_plans
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.
只读
输入模式
{'type': 'object', 'title': 'discovery_list_plansArguments', 'properties': {}}
输出模式
{'type': 'object', 'title': 'discovery_list_plansOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_login
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 â use discovery_signup instead.
Args:
email: Email address of the existing account.
幂等
输入模式
{'type': 'object', 'title': 'discovery_loginArguments', 'required': ['email'], 'properties': {'email': {'type': 'string', 'title': 'Email'}}}
输出模式
{'type': 'object', 'title': 'discovery_loginOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_login_verify
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 â 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.
幂等
输入模式
{'type': 'object', 'title': 'discovery_login_verifyArguments', 'required': ['email', 'code'], 'properties': {'code': {'type': 'string', 'title': 'Code'}, 'email': {'type': 'string', 'title': 'Email'}}}
输出模式
{'type': 'object', 'title': 'discovery_login_verifyOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_purchase_credits
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 â 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.
可能执行破坏性操作
输入模式
{'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': None}}}
输出模式
{'type': 'object', 'title': 'discovery_purchase_creditsOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_signup
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"} â 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 â defaults to email local part).
幂等
输入模式
{'type': 'object', 'title': 'discovery_signupArguments', 'required': ['email'], 'properties': {'name': {'type': 'string', 'title': 'Name', 'default': ''}, 'email': {'type': 'string', 'title': 'Email'}}}
输出模式
{'type': 'object', 'title': 'discovery_signupOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_signup_verify
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 â 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.
幂等
输入模式
{'type': 'object', 'title': 'discovery_signup_verifyArguments', 'required': ['email', 'code'], 'properties': {'code': {'type': 'string', 'title': 'Code'}, 'email': {'type': 'string', 'title': 'Email'}}}
输出模式
{'type': 'object', 'title': 'discovery_signup_verifyOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_status
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.
只读
输入模式
{'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': None}}}
输出模式
{'type': 'object', 'title': 'discovery_statusOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_subscribe
Subscribe to or change your Disco plan.
Available plans:
- "free_tier": Explorer â free, 10 credits/month
- "tier_1": Researcher â $49/month, 500 credits/month
- "tier_2": Team â $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.
可能执行破坏性操作
幂等
输入模式
{'type': 'object', 'title': 'discovery_subscribeArguments', 'required': ['plan'], 'properties': {'plan': {'type': 'string', 'title': 'Plan'}, 'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}}}
输出模式
{'type': 'object', 'title': 'discovery_subscribeOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
discovery_upload
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 â 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.
输入模式
{'type': 'object', 'title': 'discovery_uploadArguments', 'properties': {'api_key': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Api Key', 'default': None}, 'file_url': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'File Url', 'default': None}, 'file_name': {'type': 'string', 'title': 'File Name', 'default': 'data.csv'}, 'file_path': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'File Path', 'default': None}, 'file_content': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'File Content', 'default': None}}}
输出模式
{'type': 'object', 'title': 'discovery_uploadOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
历史
近期工具变更
已添加
discovery_subscribe
2026年9月17日 12:35
已添加
discovery_purchase_credits
2026年9月17日 12:35
已添加
discovery_add_payment_method
2026年9月17日 12:35
已添加
discovery_login_verify
2026年9月17日 12:35
已添加
discovery_login
2026年9月17日 12:35
已添加
discovery_signup_verify
2026年9月17日 12:35
已添加
discovery_signup
2026年9月17日 12:35
已添加
discovery_account
2026年9月17日 12:35
已添加
discovery_get_results
2026年9月17日 12:35
已添加
discovery_status
2026年9月17日 12:35
已添加
discovery_analyze
2026年9月17日 12:35
已添加
discovery_upload
2026年9月17日 12:35
已添加
discovery_estimate
2026年9月17日 12:35
已添加
discovery_list_plans
2026年9月17日 12:35
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