clariBI

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP, SSE
• Category: Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · What you ask goes through the maker’s server (claribi.com)

claude mcp add --transport http claribi https://claribi.com/mcp/v1/

{
  "mcpServers": {
    "claribi": {
      "url": "https://claribi.com/mcp/v1/"
    }
  }
}

{
  "servers": {
    "claribi": {
      "type": "http",
      "url": "https://claribi.com/mcp/v1/"
    }
  }
}

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

• check_integration_status

  Poll an OAuth handoff initiated by request_oauth_integration_url. Returns the current status (pending, connected, failed, expired) and, when connected, the data_source_id you can pass to run_analysis.

• check_pricing

  List clariBI subscription tiers with prices, AI credits, data source limits, user limits, and headline features. No authentication required.

• create_checkout_session

  Create a Stripe Checkout URL the user can open in a browser to upgrade their clariBI subscription. Payment cannot happen inside the LLM; this tool returns a URL.

• create_forecast

  Bind a forecast to a metric in your workspace. Stores the configuration, sets up the schedule, and resolves the source binding immediately so a bad source_id or metric_path errors out before any credits are spent. Run the forecast with run_forecast.

• generate_report

  Generate a written report from a report template and your data sources, in the background. Uses AI credits. Returns a job id: poll get_analysis_status until it completes; the result names the new report, which get_report returns.

• get_analysis_status

  Check the status of a previously-dispatched run_analysis job. Returns the analysis result if completed.

• get_billing_status

  Get the organization's billing status — tier, renewal date, and upgrade options.

• get_dashboard

  Fetch one dashboard by ID. Includes widget definitions, the most recent refresh data, and the web URL.

• get_data_source_schema

  Fetch the column schema for a data source. Useful before asking run_analysis about specific columns. The schema is derived from the preprocessing metadata clariBI extracted when the source was last synced. Poll this after upload_data_source / ingest_url_data_source until the retu

• get_forecast

  Fetch one forecast configuration by ID.

• get_forecast_run

  Fetch one run of a forecast by ID, or pass run_id="latest" for the most recent run. Returns the full forecast envelope: target series + 30-day projection, correlated drivers (with lag and bootstrap stability), anomalies, structural changes, and credit accounting.

• get_forecast_trust

  Returns per-past-run accuracy for a forecast. Each row compares a prior run's projection against the actuals that have materialized since. Use this to see whether your forecasts have been getting MORE or LESS accurate over time, or to spot when a backtest sMAPE was systematically

• get_report

  Fetch one generated report by ID.

• get_usage

  Get the organization's current AI credit usage, data source count, user count, and rate-limit headroom.

• ingest_url_data_source

  Create a new data source by fetching a public URL on the server side. Handles CSV, TSV, JSON, Excel, TXT, and PDF. Private networks (RFC 1918, loopback, cloud metadata) are blocked. Returns the data_source_id once preprocessing has started. Use this for files larger than the 25 M

• list_dashboards

  List dashboards in your clariBI organization. Returns id, name, status, last refresh, and a URL you can open in a browser.

• list_data_sources

  List the data sources connected to your clariBI organization. Returns id, name, source_type, status, last sync time, and the number of rows (when known).

• list_forecasts

  List metric forecasts in your clariBI organization. Each row covers one metric: its source binding, horizon, schedule, and the latest run status. Use get_forecast_run to fetch the full forecast result.

• list_reports

  List generated reports in your clariBI organization. Returns id, title, status, output format, and download URL.

• regenerate_forecast_narrative

  Re-run ONLY the AI narration step against an existing completed forecast run. Costs 1-2 AI credits (no engine work). Returns the new narration; the old one is overwritten in the run record. Refuses when the run is not yet complete or when narration_enabled=false on the forecast.

• register_account

  Begin clariBI account signup. Validates the email + organization name, emails a 6-digit verification code, and returns a pending_id. Call verify_email(pending_id, code) within 10 minutes to finish signup and receive an API key.

• request_oauth_integration_url

  Initiate an OAuth handoff to a vendor integration (Google Ads, GA4, Search Console, Sheets, Drive, BigQuery, Meta Ads, Jira, Confluence). Returns an authorization URL the user opens in a browser. After the user clicks Allow, the connection is created and you can poll check_integr

• run_analysis

  Run a natural-language analytics question against your connected data sources. Consumes AI credits. Returns either the completed analysis result inline OR a job_id you can poll with get_analysis_status. If list_data_sources returns an empty list, ingest data first with upload_dat

• run_forecast

  Run a forecast now. Reserves AI credits up front, dispatches the backtest + projection + correlation pipeline, and returns either the completed result inline (wait_seconds > 0 and the run finishes in time) or a run_id you can poll with get_forecast_run.

• upload_data_source

  Create a new data source from an inline base64-encoded file (CSV, TSV, JSON, Excel, TXT, PDF). The file goes through the same validation and preprocessing as a web upload. Returns the data_source_id you can pass to run_analysis as soon as preprocessing completes (poll get_data_so

• verify_email

  Complete clariBI signup by submitting the verification code plus a password. Returns an OAuth access_token for immediate use AND a long-lived MCP API key for persistent configuration. The new organization lands on the Trial tier (50 AI credits, 14 days).

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified against the domain claribi.com (the registry checks domain ownership)

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 227 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 26 tool descriptions and found no hidden instructions to the AI

User reviews

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Compared with others in Otheri

• More stars than 0% of the other 19151 servers in this category
• Published to the registry more recently than 9% of the other 19151 servers in this category
• Basic checks equal to or better than 100% of the other 19151 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

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README from the maker

No README found in the repo