{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_ttvx9q8beear","handle":"iflow-mcp-lightdash-poddubnyoleg","url":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg","links":{"self":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg/record.json","html":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg","markdown":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-lightdash-poddubnyoleg","status":"https://wellknown.network/api/v1/agents/iflow-mcp-lightdash-poddubnyoleg/status","claim":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-lightdash-poddubnyoleg/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-lightdash-poddubnyoleg/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-lightdash-poddubnyoleg/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-lightdash-poddubnyoleg","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp-lightdash-poddubnyoleg","summary":"Model Context Protocol (MCP) server for Lightdash analytics platform","description":"# Lightdash MCP Server\n\nA Model Context Protocol (MCP) server for interacting with [Lightdash](https://www.lightdash.com/), enabling LLMs to discover data, create charts, and manage dashboards programmatically.\n\n## Features\n\nThis MCP server provides a comprehensive set of tools for the full data analytics workflow:\n\n*   **Discovery**: Explore data catalogs, find tables/explores, and understand schemas\n*   **Querying**: Execute queries with full filter, metric, and aggregation support\n*   **Chart Management**: Create, read, update, and delete charts with complex visualizations\n*   **Dashboard Management**: Build and manage dashboards with tiles, filters, and layouts\n*   **Resource Organization**: Create and manage spaces for content organization\n\n## Installation\n\n### Prerequisites\n\n*   Python 3.10+\n*   A Lightdash instance (Cloud or self-hosted)\n*   Lightdash Personal Access Token (obtain from your Lightdash profile settings)\n\n### Quick Start with uvx (Recommended)\n\nThe easiest way to use this MCP server is with `uvx`, which will automatically download and run it:\n\n```bash\nuvx --from git+https://github.com/<owner>/lightdash-mcp lightdash-mcp\n```\n\n### Quick Start with pipx\n\nAlternatively, you can use `pipx`:\n\n```bash\npipx run --spec git+https://github.com/<owner>/lightdash-mcp lightdash-mcp\n```\n\n### Install from Source\n\n```bash\ngit clone <repository-url>\ncd lightdash_mcp\npip install .\n```\n\n## Configuration\n\n### Environment Variables\n\nThe server requires the following environment variables:\n\n| Variable | Required | Description | Example |\n| :--- | :---: | :--- | :--- |\n| `LIGHTDASH_TOKEN` | ✅ | Your Lightdash Personal Access Token | `ldt_abc123...` |\n| `LIGHTDASH_URL` | ✅ | Base URL of your Lightdash API | `https://app.lightdash.cloud/api/v1` |\n| `CF_ACCESS_CLIENT_ID` | ❌ | Cloudflare Access Client ID (if behind CF Access) | - |\n| `CF_ACCESS_CLIENT_SECRET` | ❌ | Cloudflare Access Client Secret (if behind CF Access) | - |\n\n### Getting Your Lightdash Token\n\n1. Log into …","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp-lightdash-poddubnyoleg","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"analytics.reporting","name":"Reporting & Dashboards","confidence":1,"provenance":"derived"}],"categories":["analytics","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp-lightdash-poddubnyoleg","registry":"pypi","observedAt":"2026-09-15T18:22:11.221Z","publishedAt":"2026-01-28T03:43:13.192330Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp-lightdash-poddubnyoleg","url":"https://pypi.org/project/iflow-mcp-lightdash-poddubnyoleg/","firstSeenAt":"2026-09-09T19:24:52.594Z","fetchedAt":"2026-09-15T18:21:20.294Z","normalizedAt":"2026-09-15T18:21:20.294Z"}]},"firstSeenAt":"2026-09-09T19:24:52.594Z","updatedAt":"2026-09-15T18:22:11.221Z"}