Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者提供的说明(英文原文)
The open chart format an LLM writes and the browser renders — to interactive, accessible SVG.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"blueprint-chart": {
"command": "npx",
"args": [
"-y",
"@blueprint-chart/mcp"
]
}
}
}在终端中运行这条命令
claude mcp add blueprint-chart -- npx -y @blueprint-chart/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"blueprint-chart": {
"command": "npx",
"args": [
"-y",
"@blueprint-chart/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"blueprint-chart": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@blueprint-chart/mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 blueprint-chart 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.1)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Model Context Protocol server for authoring Blueprint Chart .bpc files with LLMs, grounded in real dataviz pedagogy with a tight parse + render feedback loop. An open, plain-text chart format an AI can write and any browser can render. Self-contained, no backend, no account required.
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| Latest version | |
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| Smithery |
The MCP exposes Blueprint Chart's dataviz handbook, DSL grammar reference, chart-type docs, and canonical samples as MCP resources, plus eleven deterministic tools: validate_dsl, inspect_dsl, recommend_chart_type, render, list_chart_types, describe_chart_type, get_example, get_grammar, export_chart, search_examples, and list_palettes. Your LLM writes the .bpc; the MCP grounds it in real dataviz pedagogy and gives it a tight feedback loop.
npx @blueprint-chart/mcp # stdio (for Claude Desktop, Claude Code, Cursor)
npx @blueprint-chart/mcp --http # HTTP/SSE on 127.0.0.1:4321
Add to claude_desktop_config.json:
{
"mcpServers": { "blueprint-chart": { "command": "npx", "args": ["-y", "@blueprint-chart/mcp"] } } }
claude mcp add blueprint-chart \
-e BLUEPRINT_CHART_EDITOR_URL=https://blueprintchart.com \ -e BLUEPRINT_CHART_DOCS_URL=https://docs.blueprintchart.com \ -- npx -y @blueprint-chart/mcp
| Tool | Purpose |
|---|---|
validate_dsl | Parse .bpc; returns { valid, errors[], warnings[] } — each error has code, message, suggestion |
inspect_dsl | Parse and summarize: chartType, scenes, seriesCount, rowCount, hasHighlights, hasColorizes, etc. |
recommend_chart_type | Rank chart types for a given column shape and row count |
render | Render to SVG (default), PNG, or HTML; with format:"png" returns an inline image both you and the user can see. Always returns structured frame metadata. When MCP_PUBLIC_URL is set, includes urls ({png,svg,bpc}) — stateless links where the chart data travels inside the URL. Set modelVisible:false to drop the inline image from the response entirely, spending no image tokens. Pass save: to write the output to disk (requires MCP_FS_WRITE_DIR; writes are confined to that directory). Width/height capped at 1600; PNG is 2× retina. |
list_chart_types | List all renderable chart types (tool equivalent of bpc://handbook/choosing) |
describe_chart_type | Properties, when-to-use, when-NOT-to-use, and data-shape for one chart type (tool equivalent of bpc://chart-types/{slug}) |
get_example | Fetch a canonical .bpc sample by chart type or sample name (tool equivalent of bpc://samples/{id}) |
search_examples | Find canonical examples by topic keywords and/or chart type (returns pointers; fetch full DSL with get_example) |
get_grammar | Full DSL syntax reference (tool equivalent of bpc://grammar) |
list_palettes | List named colour palettes with hex colours for colorPalette |
export_chart | Validate a .bpc and return shareable URLs plus an inline preview. Returns { copyUrl, embedUrl, urls?, frame } — copyUrl is editable in the editor, embedUrl is a read-only iframe target, urls.{png,svg,bpc} are stateless rendered/source links (when MCP_PUBLIC_URL is set). Set modelVisible:false to drop the inline preview from the response entirely, spending no image tokens. Requires BLUEPRINT_CHART_EDITOR_URL; preview failures never block the export. |
The discovery tools (list_chart_types, describe_chart_type, get_example, search_examples, get_grammar, list_palettes) let clients without MCP resource support access the same reference material that the bpc:// URIs expose.
The render tool can write its output to disk via save: . This is disabled by default. Set MCP_FS_WRITE_DIR to a directory to enable it — ideally an absolute path; a relative value is resolved from the server's working directory at startup. Every write lands inside that directory (a sandbox), so you never have to worry about where a client puts files: relative save paths are joined to it, an absolute path already inside it is used as-is, and any other absolute path is re-anchored under it (the leading slash is stripped and the rest joined on, so save: "/tmp/foo.png" becomes /tmp/foo.png). Only paths that still escape via ../ traversal are rejected. Missing subdirectories are created automatically. Containment is checked lexically (no realpath), so a symlink whose lexical path is inside the sandbox still passes the check and is then resolved by the OS at write time — if its target is outside the sandbox, the write reaches it. Avoid placing symlinks in the sandbox if isolation matters to you.
Add the -e flag to your claude mcp add command:
claude mcp add blueprint-chart \
-e MCP_FS_WRITE_DIR=/path/to/output \ -- npx -y @blueprint-chart/mcp
bpc://grammar — full DSL syntax referencebpc://handbook/ — dataviz pedagogy (choosing, design-principles, color, typography, annotations, accessibility, ...)bpc://guide/ — usage guides (scenes, palettes, data-transforms, ...)bpc://chart-types/ — per-chart-type docsbpc://samples/ — canonical .bpc examplesbpc://reference/dsl/ , bpc://reference/api/ — full referenceauthor_chart — primes the LLM end-to-end (read → write → validate → render → iterate)Once the MCP is connected, ask Claude to make a chart:
You: Make a horizontal bar chart of English letter frequencies — top 10, highlight E.
Claude: *(calls
list_chart_types,get_example({ chartType: "bar-horizontal" }), writes the.bpc, callsvalidate_dslto confirm it parses, callsrenderwithformat: 'png'and shows you the image and the source)*
Here's the chart:
![image]
`
chart bar-horizontal {
title = "E is the most frequent letter in English"
sort = descending
valueLabels = true
highlight "E"
data { "E" = 12.70; "T" = 9.06; "A" = 8.17; ... }
}
`
The MCP grounds Claude in real dataviz pedagogy (the handbook) before it writes a single line of DSL, then closes the loop with deterministic parse + render feedback.
.bpc looks likechart bar-vertical {
title = "E is the most frequent letter in English" description = "How often each letter appears in typical English text" source = "Lewand, Cryptological Mathematics" colorPalette = "London" sort = descending valueLabels = true highlight "E"
data { "E" = 12.70 "T" = 9.06 "A" = 8.17 "O" = 7.51 ... } }
Full grammar at bpc://grammar; 17 canonical samples at bpc://samples/ (letter-frequency, co2-emissions, quarterly-revenue, browser-market, temperature-anomaly, population-stacked-bar, ...).
validate_dsl — parse with structured diagnosticsRequest:
{
"name": "validate_dsl", "arguments": { "source": "chart bar-vertical {\n title = \"oops\n}" } }
Response — valid is false; each entry in errors[] carries a code, human-readable message, and an actionable suggestion:
{
"valid": false, "errors": [ { "code": "E_PARSE", "message": "Expected \"\\\"\" but end of input found.", "suggestion": "Close the string literal on line 2." } ], "warnings": [] }
inspect_dsl — structured summaryRequest:
{ "name": "inspect_dsl", "arguments": { "source": "<.bpc source>" } }
Response:
{
"ok": true, "data": { "chartType": "bar-vertical", "scenes": [{ "index": 1, "hasTransition": false }], "hasAnnotations": false, "hasColorizes": false, "hasHighlights": true, "hasAreaFills": false, "seriesCount": 0, "rowCount": 26 } }
recommend_chart_type — ranked suggestionsRequest:
{
"name": "recommend_chart_type", "arguments": { "columnTypes": ["date", "number", "number", "number"], "rowCount": 24 } }
Response:
{
"ok": true, "data": { "recommendations": [ { "chartType": "line-multi", "label": "Multi-Line Chart", "fitness": "best", "reason": "1 date + 3 numeric columns — compare trends" }, { "chartType": "bar-multi", "label": "Grouped Bar Chart", "fitness": "alternative", "reason": "Can also show as grouped bars" } ] } }
render — SVG (default), PNG, or HTMLRequest:
{
"name": "render", "arguments": { "source": "<.bpc source>", "format": "png", "width": 800, "height": 500 } }
Response:
{
"ok": true, "data": { "svg": " ... ", "png": " ", "mimeType": "image/png", "urls": { "png": "https://mcp.blueprintchart.com/render.png?bpc64=…", "svg": "https://mcp.blueprintchart.com/render.svg?bpc64=…", "bpc": "https://mcp.blueprintchart.com/render.bpc?bpc64=…" } } }
The urls field is only present when MCP_PUBLIC_URL is configured; every render and export_chart response then includes these stateless links, with the chart data travelling inside the URL (as bpc64, a URL-safe base64 encoding of the .bpc source) — no session, no server state required. Set modelVisible:false in the request to drop the inline image from the response entirely, spending no image tokens.
If rasterization fails (rare), errors[] is non-empty — each entry has a code ("E_RENDER") and a suggestion — and the response still includes the SVG that was successfully produced, so partial success is preserved.
Embed a chart directly in a page:
<img src="https://<your-mcp-host>/render.png?bpc64=<bpc64value>&width=800&height=500" alt="My chart" width="800" height="500">
/render.bpc serves the raw .bpc source — it's "view source" for any chart URL, handy for sharing or reproducing a chart from its link alone.
Sources whose encoding exceeds 8 KB return 413 from the endpoints (and the tool omits urls, returning urlsOmitted: "source-too-large" instead) — use the inline PNG for very large charts.
{ "uri": "bpc://handbook/choosing" }
Returns the full Markdown of the "Choosing the Right Chart" handbook page (same content as docs.blueprintchart.com).
{ "uri": "bpc://samples/letter-f只显示了开头部分;其余内容请在仓库中阅读