Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Health and token cost of every remote MCP registry server, probed daily. Look up, search, or probe.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcpcost.ulehla.dev/mcp在终端中运行这条命令
claude mcp add --transport http mcpcost https://mcpcost.ulehla.dev/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"mcpcost": {
"url": "https://mcpcost.ulehla.dev/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": {
"mcpcost": {
"type": "http",
"url": "https://mcpcost.ulehla.dev/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。
ChatGPT 只能连接互联网上的服务器:
https://mcpcost.ulehla.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
lookup_serverReads the board's latest daily probe of one server in the official MCP registry: status, how a client gets access, the exact Claude token cost of its tool definitions, tool count, latency and the most expensive tools. Instant, no connection to the server. Use it when the server i
search_serversFinds servers on the board by words in their name, title, description or host, with optional filters, sorted by exact Claude token cost (highest first) by default. With no query and no filter it ranks the whole board, so page 1 is the most expensive servers in the registry and so
check_serverConnects to an MCP server URL now (initialize and tools/list, 10 s timeout) and reports status, protocol, how a client gets access, tool names and the token cost of the tool definitions: exact in Claude when the counter is available, else an estimate from the schema size. Use it
compare_serversPuts two to five registry servers next to each other from the board's latest daily probe: status, how a client gets in, tool count, token cost (exact in Claude when counted, else the estimate), share of a 200k window and initialize latency, with the cheapest, the most expensive a
registry_summaryAggregates of the latest daily run over the whole official MCP registry: how many servers answer and why the rest do not, token cost percentiles and the exact-to-estimate ratio, how servers authenticate, protocol versions, transports, the heaviest servers and the biggest publishe
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8日
注册名称已通过 GitHub 账户 ondraulehla 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
在 293 毫秒内响应(HTTP 200)
无需登录
已读取 5 个工具描述,未发现针对 AI 的隐藏指令
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 3 项适用的基础检查中通过了 3 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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.3.4)于14天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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。
Is that MCP server alive, and what does it cost your context window?
Live board: [mcpcost.ulehla.dev](https://mcpcost.ulehla.dev)
mcpcost probes every remote server in the official MCP registry and records, for each one:
initialize and tools/list, and how fastWWW-Authenticate), and how a client gets in: OAuth with dynamic client registration, OAuth with a client id from the publisher, or a key, read from the server's public OAuth metadatanpx mcpcost # reads Claude Code, Claude Desktop, Cursor, VS Code, Windsurf and Gemini CLI configs
npx mcpcost --config .mcp.json # one file npx mcpcost --budget 30000 # exit 1 when the total is above the budget, for CI npx mcpcost --claude # exact counts from the Anthropic count_tokens endpoint (free, needs ANTHROPIC_API_KEY) npx mcpcost mcp # the same measurements as an MCP server over stdio, for your agent
It starts every configured server the way your client does, lists the tools and prints the token cost per server and in total. See packages/mcpcost.
A server that answers 401 is reachable but not measured until it gets credentials. Store them once; every later measurement of that URL uses them.
npx mcpcost auth https://mcp.linear.app/mcp # OAuth: register, consent in the browser, store the tokens
npx mcpcost auth https://api.githubcopilot.com/mcp/ --header "Authorization: Bearer ghp_…" # an API key instead npx mcpcost auth --list # what is stored, without the secrets
The OAuth flow follows the MCP authorization spec: discovery, dynamic client registration, PKCE, a callback on 127.0.0.1. The consent screen is the one step that needs a person. After it, the tokens live in ~/.mcpcost/credentials.json (mode 0600, or $MCPCOST_CREDENTIALS), npx mcpcost sends them for that URL, and a refreshed token goes back to the file.
The board does the same: npm run credentials:push copies the file into the D1 table credentials; the daily run reads it before the probe, writes the refreshed tokens back after it, and marks the server "measured with credentials". A refresh token that a service revokes or lets expire needs the consent step again.
Without credentials, the board still shows a tool set for many gated servers: tool definitions do not depend on the token, so when the publisher's repository holds a package on npm or PyPI, probe/derive-packages.ts finds it and the weekly container run measures it with placeholder values. The server page then says "from the publisher's package". probe/derived-aliases.json maps the few servers whose registry entry names no repository.
- uses: ondraulehla/mcpcost@v1
with: config: .mcp.json # one or more config files, one per line budget: 30000 # fail when the tool definitions cost more than this
The job summary gets a table with every server, its result and its cost, plus the most expensive tools. A pull request that adds a 40 000-token server fails the check. Set claude: true and put ANTHROPIC_API_KEY in env for exact counts from the free count_tokens endpoint; the default is the o200k_base estimate. Outputs: tokens, servers, over-budget.
On a pull request the action also measures the same config files on the base branch and posts one comment with the difference: servers added, removed and changed, the token delta per server, the new total and the budget verdict. The comment is updated on every push, never duplicated. The job needs pull-requests: write for it; without that permission the step warns and the check still runs. Set comment: false to turn it off. A complete workflow is in .github/examples/mcp-budget.yml.
In a Claude Code session:
/plugin install mcpcost --marketplace ondraulehla/mcpcost
Or from the shell: claude plugin marketplace add ondraulehla/mcpcost, then claude plugin install mcpcost@mcpcost.
The plugin adds one skill, /mcpcost:measure, which runs npx mcpcost on your configs and reads the result, and the board's MCP server, so Claude can look up or probe a server before it goes into a config. What the plugin itself costs: one skill description in the context, and four tools that Claude Code defers behind tool search.
mcpcost.ulehla.dev is rendered on the edge from a D1 database and refreshes every night. The only scripts it loads are a theme switch and the Cloudflare Web Analytics beacon, which counts page views without cookies.
git copilot finds the GitHub Copilot servers), filters by result, protocol and transport, seven sorts, and every filter is a plain URL you can share/compare?s= &s= , linked from every server pageurl/ / /api/s/ .json, /api/lookup.json?url=… (the board's row for an endpoint URL, no probe), /api/servers.json?q=…&status=ok&sort=tokens, /api/check.json?url=…, /api/summary.json. The list API takes at most 6 requests in 10 seconds from one address; its answers are cached for three hours./data/mcpcost-evidence-latest.json.gz (the row shape of modelcontextprotocol/registry#1715, changes after each daily run), with its index /data/mcpcost-evidence-latest.index.json.https://mcpcost.ulehla.dev/mcp with the tools lookup_server, search_servers, compare_servers, check_server, registry_summary. The manifest for the registry is site/server.json./llms.txt lists all of it. /tokens answers the general question: how many context tokens does an MCP server cost.Each server on the board gets a page and a badge:
[](https://mcpcost.ulehla.dev/s/io.github.you/your-server)
The registry held 38 942 latest entries. 24 294 of them have a remote endpoint, and the probe connected to all of them in 40 minutes.
| Result | Servers | Share |
|---|---|---|
alive: initialize and tools/list succeed | 12 975 | 53 % |
| needs auth (401, 403) | 5 836 | 24 % |
| not MCP: HTTP 200 but no valid MCP reply | 1 800 | 7 % |
| not found (404, 405, 410) | 881 | 4 % |
| no DNS | 728 | 3 % |
| rate limited (429) | 500 | 2 % |
| payment required (402) | 434 | 2 % |
| server error (5xx) | 349 | 1 % |
| other | 307 | 1 % |
| TLS error | 259 | 1 % |
| timeout | 204 | 1 % |
| refused | 21 | 0 % |
Of the 12 975 servers that answered:
com.replynodes/mcp: 66 tools, 431 925 tokensinitialize latency is 455 ms, the 90th percentile 1.5 s2025-11-25, 24 % still 2025-03-26, 4 % 2024-11-052026-07-28, which the current TypeScript SDK rejectsThe registry is lumpy. 16 161 of 16 534 hosts publish one server. Five hosts publish more than 6 000 entries between them: one Workers subdomain with 2 365 near-identical entries, a gateway with 1 716 entries of which 1 321 return a JSON-RPC error on initialize, and a host with 276 entries that all answer 402.
/report/2026-10 is *The state of the MCP registry, October 2026*: the registry in numbers, what changed between the first full run and the run of 2026-10-31, token cost, auth, the lumps, protocol versions, what the registry does not catch, and the method in six sentences. The page reads only the runs table (the runs of the month up to the run day, one query) and is cached for a day, so it costs nothing on the free tier. /report lists the months; site/src/lib/reports.ts has one entry per report with the day of the run it is pinned to. The dataset that goes with it, data/mcpcost-2026-10.json.gz on the site, has one row per probed server: name, host, transport, status, HTTP status, auth scheme and kind, protocol version, tool count, the o200k estimate, the exact Claude counts and the probe time. A row's numbers are what /api/s/ .json gives for that server on that day. The licence is CC BY 4.0; the document carries the licence, the field list and a citation at the top. probe/dataset.ts writes data/latest/dataset.json and its gzip on every daily run (kept in the run artifact), and --publish site/public/data/mcpcost-YYYY-MM.json.gz copies the gzip into the site when it is under 10 MB: a static file is served before the Worker and costs no request. A bigger file would go out as a GitHub release asset instead. To publish a month: run the probe or download the run artifact into data/latest, run node --import tsx probe/dataset.ts --publish site/public/data/mcpcost-YYYY-MM.json.gz, add the month to reports.ts, write the page, and commit the file with it.
The same run goes out as re-check evidence for the registry, in the row shape agreed in modelcontextprotocol/registry#1715: entry, checked_at, check (endpoint or package), state (alive, auth, transient, dead, unknown) and evidence. probe/dataset.ts writes it daily next to the dataset, and the month's copy is /data/mcpcost-evidence-YYYY-MM.json.gz. The newest run is always at `/data/mcpcost-evidenc
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