Machinepulse

它能帮你做什么

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。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 会计、财务与税务

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://machinepulse.tech/mcp

claude mcp add --transport http machinepulse https://machinepulse.tech/mcp

{
  "mcpServers": {
    "machinepulse": {
      "url": "https://machinepulse.tech/mcp"
    }
  }
}

{
  "servers": {
    "machinepulse": {
      "type": "http",
      "url": "https://machinepulse.tech/mcp"
    }
  }
}

https://machinepulse.tech/mcp

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。

它能做什么

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。

• get_mcp_ecosystem_summary

  Summarize the MCP server ecosystem — unique servers, 7-day arrivals vs the previous 7 days, per-registry counts and new arrivals per category. Read-only aggregation of daily-collected observatory data; no side effects. Use when the user asks how big or how fast-growing the MCP ec

• get_npm_trends

  Fetch daily download counts for an npm package — up to 100 days, with total, latest day and average over days that have data; days without collection are null with a note. Read-only aggregation of daily-collected observatory data; no side effects. Days inside the npm reporting de

• get_pypi_trends

  Fetch daily download counts for a PyPI package — up to 100 days, with total, latest day and average over days that have data; days without collection are null with a note. Read-only aggregation of daily-collected observatory data; no side effects. Days inside the PyPI reporting d

• get_github_trending

  List repositories seen on GitHub Trending — last N days (1-100), newest first, with rank and stars gained today; limit/offset page through the list. Read-only aggregation of daily-collected observatory data; no side effects. For a project ranking by measured change use `get_leade

• get_ecosystem_events

  List tracked ecosystem events — without filters, counts per event type over the last 7 days plus the latest event of each type and a plain-word legend; set event_type or canonical_key for the full feed (limit/offset page through it), set since=YYYY-MM-DD to widen the window. Read

• get_entity_profile

  Fetch the entity card for any tracked type (MCP server, agent, HF model, package) by canonical_key or natural name — all linked facts, categories, HF model license tiers, how to connect, recent events; field captions in fields_note. Name lookup matches exact aliases and canonical

• search_mcp_servers

  Search MCP servers by canonical_key (former keys included, they stay as aliases), name or description — substring match, not fuzzy search, ordered by stars when available; optional filters archived, has_repo, category, min_stars, pushed_before run in one request; limit/offset pag

• get_package_comparison

  Compare npm/PyPI download activity for up to 20 packages — last 30 days: total, latest day and average (a longer list is cut and says so). Read-only aggregation of daily-collected observatory data; no side effects. Package download days may be missing (npm/PyPI reporting delay);

• get_pulse

  Snapshot every observatory metric for one day — window values with formula, formula_plain, basis, and per-metric history depth (`metric_history_from`); insufficient history is a fact, never a fake zero. Read-only; daily collection, package download windows may lag. Use when the u

• get_leaderboard

  Rank tracked entities (servers, agents, models) by a project-level metric — project_momentum (score: middle of star/download/HF-derivative growth ranks) or trend_days (days on GitHub Trending) over the 7d window; limit/offset page through the full ranked list. Numbers and catalog

• get_market_overview

  Fetch the observatory front page in one call — MCP servers, A2A agents, HF models, x402 money, top-5 growth with one catalog line each, new arrivals per category and data coverage, a few headline numbers each. Read-only aggregation of daily-collected observatory data; no side eff

• get_data_quality

  Report collector health — coverage, per-source freshness and missed snapshot runs with reasons, separating recent misses from the whole recorded history; internal-only sources are excluded. Read-only aggregation of daily-collected observatory data; no side effects. Use when the u

• get_agents_summary

  Summarize the A2A agent registry — snapshot total and verified counts plus new and left agents over the last 7 days. Read-only aggregation of daily-collected observatory data; no side effects. Use when the user asks how the AI agent registry is growing.

• get_llm_summary

  Summarize the Hugging Face model watchlist — model count, new arrivals, derivative net flow and the license tier mix. Read-only aggregation of daily-collected observatory data; no side effects. Use when the user asks about open LLMs and their licenses.

• get_finance_summary

  Summarize x402 agent-payment volume (DefiLlama) — latest stored day and the 7-day window split by chains with non-zero volume, with the data lag stated. Read-only aggregation of daily-collected observatory data; no side effects. Use when the user asks about agent payments or x402

• get_protocols_timeline

  List the protocol chronicle (MCP, A2A, AP2, x402) — releases and milestones, newest first, optionally filtered by protocol; limit/offset page through the entries. Read-only aggregation of daily-collected observatory data; no side effects. Use when the user asks when a protocol sh

基础检查i

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

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（machinepulse.tech）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 320 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 16 个工具描述，未发现针对 AI 的隐藏指令

与“会计、财务与税务”中的其他服务器比较i

• 星标数多于此分类中其他 2919 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2919 个服务器的 66% 更新
• 基础检查结果等于或优于此分类中其他 2919 个服务器的 45%

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。

替代选择

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

作者的 README

仓库中没有找到 README