{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_nvsy4szhpuqz","handle":"tableau-mcp-kartik","url":"https://wellknown.network/agents/tableau-mcp-kartik","links":{"self":"https://wellknown.network/agents/tableau-mcp-kartik/record.json","html":"https://wellknown.network/agents/tableau-mcp-kartik","markdown":"https://wellknown.network/agents/tableau-mcp-kartik/record.md","api":"https://wellknown.network/api/v1/agents/tableau-mcp-kartik","status":"https://wellknown.network/api/v1/agents/tableau-mcp-kartik/status","claim":"https://wellknown.network/agents/tableau-mcp-kartik/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/tableau-mcp-kartik/claim.json","badge":"https://wellknown.network/agents/tableau-mcp-kartik/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/tableau-mcp-kartik/history","tools":"https://wellknown.network/api/v1/agents/tableau-mcp-kartik/tools"},"ard":{"identifier":"urn:air::server:tableau-mcp-kartik","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"tableau-mcp-kartik","summary":"Model Context Protocol server for automated Tableau workbook generation","description":"# Tableau MCP Server \n \nA Model Context Protocol (MCP) server that enables AI agents to generate Tableau workbooks programmatically. \n \n> **Installation Note**: This package is distributed with an automated installer. Download the distribution package from GitHub and run the included `install.bat` script for easy setup. \n \n## What is this MCP? \n \nThis MCP server provides AI agents with the ability to: \n- Generate complete Tableau workbook (.twb) files \n- Create visualizations (bar charts, line charts, scatter plots, etc.) \n- Configure data connections and worksheets \n- Apply filters, sorting, and formatting \n- Build dashboards with multiple visualizations \n \n## How to use \n \n### Installation \n \n1. Download the distribution package from the GitHub repository \n2. Extract the files and navigate to the `distribute` folder \n3. Run `install.bat` (Windows) - this will: \n   - Install the package from PyPI automatically \n   - Set up the environment in your AppData folder \n   - Configure the launcher scripts \n \n### MCP Server Configuration \n \nAfter installation, add this to your Claude Desktop configuration: \n \n```json \n{ \n  \"mcpServers\": { \n    \"tableau-mcp\": { \n      \"command\": \"C:\\\\Users\\\\YourUsername\\\\AppData\\\\Roaming\\\\tableau-mcp\\\\tableau-mcp.bat\", \n      \"env\": { \n        \"GEMINI_API_KEY\": \"YOUR_KEY_HERE\", \n        \"DEFAULT_LLM_PROVIDER\": \"gemini\" \n      } \n    } \n  } \n} \n``` \n \n**Note**: Get your free Gemini API key at https://aistudio.google.com/apikey \n \n### Available Tools \n \n- `generate_tableau_workbook`: Create complete Tableau workbooks with visualizations \n- `profile_data_schema`: Analyze CSV data structure for optimal visualization recommendations \n- `get_sample_datasets`: Access built-in sample datasets for testing \n \n### Basic Usage \n \nOnce connected, you can ask your AI agent to: \n- \"Create a bar chart showing sales by region using my CSV data\" \n- \"Generate a dashboard with multiple visualizations\" \n- \"Build a time series chart with filtering capabilities\" …","publisher":{"name":"Tableau MCP Team","url":null},"homepage":"https://github.com/kar10arora/TABLEAU_MCP","repository":"https://github.com/kar10arora/TABLEAU_MCP","version":"1.0.5","license":null,"protocols":["mcp"],"tags":["tableau","mcp","model-context-protocol","llm","visualization"],"pricing":null,"endpoints":[{"url":"pypi:tableau-mcp-kartik","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"analytics.reporting","name":"Reporting & Dashboards","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.825,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"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":"tableau-mcp-kartik","registry":"pypi","observedAt":"2026-11-04T02:26:15.882Z","publishedAt":"2026-07-12T10:12:17.685864Z","latestVersion":"1.0.5"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"tableau-mcp-kartik","url":"https://pypi.org/project/tableau-mcp-kartik/","firstSeenAt":"2026-09-10T13:20:39.918Z","fetchedAt":"2026-11-04T02:24:06.604Z","normalizedAt":"2026-11-04T02:24:06.604Z"}]},"firstSeenAt":"2026-09-10T13:20:39.918Z","updatedAt":"2026-11-04T02:26:15.882Z"}