MCP server

Machinepulse Official

tech.machinepulse/machinepulse

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Market data tools for the MCP ecosystem: server stats, events, search, leaderboards, package trends.

At a glance

Type

MCP server

Publisher

machinepulse.tech (verified by the MCP Registry)

Status

Working at last check

Tools

16

Token cost

About 2,916 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.machinepulse]
url = "https://machinepulse.tech/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add machinepulse https://machinepulse.tech/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"machinepulse","server_url":"https://machinepulse.tech/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"machinepulse","server_url":"https://machinepulse.tech/mcp"}

Tools

• get_agents_summary ~108 tokens
  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_data_quality ~132 tokens
  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
• get_ecosystem_events ~258 tokens
  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
• get_entity_profile ~217 tokens
  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
• get_finance_summary ~118 tokens
  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.
• get_github_trending ~169 tokens
  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
• get_leaderboard ~267 tokens
  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 qual
• get_llm_summary ~107 tokens
  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_market_overview ~166 tokens
  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
• get_mcp_ecosystem_summary ~121 tokens
  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.
• get_npm_trends ~194 tokens
  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 (sho
• get_package_comparison ~194 tokens
  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 nul
• get_protocols_timeline ~165 tokens
  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.
• get_pulse ~177 tokens
  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 cur
• get_pypi_trends ~194 tokens
  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 (sh
• search_mcp_servers ~329 tokens
  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 o

Browse

• GitHub tools
• PDF tools
• Payments
• GitHub and code hosting
• Stocks and markets

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