{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_q33mrhxpmwe5","handle":"dataviz-mcp-2","url":"https://wellknown.network/agents/dataviz-mcp-2","links":{"self":"https://wellknown.network/agents/dataviz-mcp-2/record.json","html":"https://wellknown.network/agents/dataviz-mcp-2","markdown":"https://wellknown.network/agents/dataviz-mcp-2/record.md","api":"https://wellknown.network/api/v1/agents/dataviz-mcp-2","status":"https://wellknown.network/api/v1/agents/dataviz-mcp-2/status","claim":"https://wellknown.network/agents/dataviz-mcp-2/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/dataviz-mcp-2/claim.json","badge":"https://wellknown.network/agents/dataviz-mcp-2/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/dataviz-mcp-2/history","tools":"https://wellknown.network/api/v1/agents/dataviz-mcp-2/tools"},"ard":{"identifier":"urn:air::server:dataviz-mcp-2","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"dataviz-mcp","summary":"DataViz MCP is a local Panel web server that executes Python code snippets and renders the resulting visualizations as live, interactive web pages.","description":"<div align=\"center\">\n  <img src=\"docs/assets/logo.svg\" alt=\"DataViz MCP logo\" width=\"110\">\n\n  <h1>DataViz MCP</h1>\n\n  <p><strong>Turn natural-language requests and Python code into live, inspectable visualizations.</strong></p>\n\n  <p>\n    A local visualization server for AI assistants, developers, and data teams.<br>\n    Built with MCP, Panel, HoloViz, Datashader, and the wider PyData ecosystem.\n  </p>\n\n  <p>\n    <a href=\"https://github.com/SuMayaBee/DataViz-MCP/actions/workflows/ci.yml\"><img src=\"https://img.shields.io/github/actions/workflow/status/SuMayaBee/DataViz-MCP/ci.yml?style=flat-square&branch=main\" alt=\"CI status\"></a>\n    <a href=\"https://pypi.org/project/dataviz-mcp\"><img src=\"https://img.shields.io/pypi/v/dataviz-mcp.svg?logo=pypi&logoColor=white&style=flat-square\" alt=\"PyPI version\"></a>\n    <a href=\"https://prefix.dev/channels/conda-forge/packages/dataviz-mcp\"><img src=\"https://img.shields.io/conda/vn/conda-forge/dataviz-mcp?logoColor=white&logo=conda-forge&style=flat-square\" alt=\"conda-forge version\"></a>\n    <a href=\"https://pypi.org/project/dataviz-mcp\"><img src=\"https://img.shields.io/pypi/pyversions/dataviz-mcp?logoColor=white&logo=python&style=flat-square\" alt=\"Supported Python versions\"></a>\n  </p>\n\n  <p>\n    <a href=\"https://SuMayaBee.github.io/DataViz-MCP/\">Documentation</a> ·\n    <a href=\"https://SuMayaBee.github.io/DataViz-MCP/tutorials/installation/\">Installation</a> ·\n    <a href=\"https://SuMayaBee.github.io/DataViz-MCP/tutorials/mcp-server/\">MCP tutorial</a> ·\n    <a href=\"https://SuMayaBee.github.io/DataViz-MCP/examples/\">Examples</a>\n  </p>\n</div>\n\n## What is DataViz MCP?\n\nDataViz MCP connects an AI assistant to a local Panel server. The assistant can inspect data,\ngenerate Python visualization code, validate it, render it as an interactive web page, review the\nresult in a browser, and refine it before sharing the final visualization.\n\nIt supports two complementary workflows:\n\n- **MCP mode:** create and inspect visualizations from VS…","publisher":null,"homepage":"https://github.com/SuMayaBee/DataViz-MCP","repository":"https://github.com/SuMayaBee/DataViz-MCP","version":"0.3.1","license":"BSD","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:dataviz-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"communication.chat","name":"Team Chat","confidence":0.779,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"provenance":"derived"}],"categories":["communication","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":"dataviz-mcp","registry":"pypi","observedAt":"2026-11-03T01:26:03.588Z","publishedAt":"2026-10-10T04:10:20.955625Z","latestVersion":"0.3.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"dataviz-mcp","url":"https://pypi.org/project/dataviz-mcp/","firstSeenAt":"2026-09-09T13:21:37.798Z","fetchedAt":"2026-11-03T01:24:44.029Z","normalizedAt":"2026-11-03T01:24:44.029Z"}]},"firstSeenAt":"2026-09-09T13:21:37.798Z","updatedAt":"2026-11-03T01:26:03.588Z"}