Machinepulse
Market data tools for the MCP ecosystem: server stats, events, search, leaderboards, package trends.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"machinepulse": {
"url": "https://machinepulse.tech/mcp"
}
}
}远程端点
https://machinepulse.tech/mcpstreamable-http它能做什么
工具清单
工具（16）
🟢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 ecosystem is.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_npm_trends(package, days)
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 delay are partial (shown, excluded from latest and average), never fake zeros. Use when the user asks how an npm package is growing; for side-by-side comparison use `get_package_comparison`.
输入模式
{
"type": "object",
"properties": {
"package": {
"type": "string"
},
"days": {
"default": 30,
"type": "integer"
}
},
"required": [
"package"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_pypi_trends(package, days)
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 delay are partial (shown, excluded from latest and average), never fake zeros. Use when the user asks how a PyPI package is growing; for side-by-side comparison use `get_package_comparison`.
输入模式
{
"type": "object",
"properties": {
"package": {
"type": "string"
},
"days": {
"default": 30,
"type": "integer"
}
},
"required": [
"package"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_github_trending(days, limit, offset)
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_leaderboard` instead. Use when the user asks what is trending on GitHub.
输入模式
{
"type": "object",
"properties": {
"days": {
"default": 7,
"type": "integer"
},
"limit": {
"default": 100,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
}
},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_ecosystem_events(event_type, since, canonical_key, limit, offset)
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-only aggregation of daily-collected observatory data; no side effects. For counts rather than the feed use the `get_*_summary` tools. Use when the user asks what changed recently in the ecosystem.
输入模式
{
"type": "object",
"properties": {
"event_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"since": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"canonical_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"limit": {
"default": 100,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
}
},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_entity_profile(canonical_key)
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 keys, not free-form text. Read-only aggregation of daily-collected observatory data; no side effects. Package download days may be missing (npm/PyPI reporting delay); missing days are null with notes, never fake zeros. Use when the user asks about a specific server, agent, model or package.
输入模式
{
"type": "object",
"properties": {
"canonical_key": {
"type": "string"
}
},
"required": [
"canonical_key"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢search_mcp_servers(query, limit, offset, archived, has_repo, ...)
Search MCP servers by canonical_key, 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 page through the matches. Read-only aggregation of daily-collected observatory data; no side effects. Name/keyword lookup over MCP servers only; for the card of a known entity use `get_entity_profile`. Use when the user gives a name, a task word (PDF, payment) or a filter and wants keys and facts.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"limit": {
"default": 100,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
},
"archived": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null
},
"has_repo": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"min_stars": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null
},
"pushed_before": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
}
},
"required": [
"query"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_package_comparison(packages)
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); missing days are null with notes, never fake zeros. Use when the user wants to compare package popularity side by side; for a single package's history use `get_npm_trends` or `get_pypi_trends`.
输入模式
{
"type": "object",
"properties": {
"packages": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"packages"
],
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_pulse(as_of)
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 user asks for the current state of the AI agent ecosystem; for a narrative overview use `get_market_overview`, for one domain use the `get_*_summary` tools.
输入模式
{
"type": "object",
"properties": {
"as_of": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
}
},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_leaderboard(metric_id, window, limit, offset)
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 facts only, no quality scores. Read-only aggregation of daily-collected observatory data; no side effects. Package download days may be missing (npm/PyPI reporting delay); missing days are null with notes, never fake zeros. Use when the user asks what is rising; for the daily GitHub Trending list use `get_github_trending`.
输入模式
{
"type": "object",
"properties": {
"metric_id": {
"default": "project_momentum",
"type": "string"
},
"window": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"limit": {
"default": 20,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
}
},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢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 effects; money figures carry their stated data lag. Use when the user wants the state of the whole market in a single request; for per-metric values with formulas use `get_pulse`.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢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 user asks whether the observatory data is fresh or complete.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢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.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢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.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢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 volume.
输入模式
{
"type": "object",
"properties": {},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}🟢get_protocols_timeline(protocol, limit, offset)
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 shipped something.
输入模式
{
"type": "object",
"properties": {
"protocol": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
},
"limit": {
"default": 20,
"type": "integer"
},
"offset": {
"default": 0,
"type": "integer"
}
},
"additionalProperties": false
}输出模式
{
"type": "object",
"additionalProperties": true
}社区
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