tech.machinepulse/machinepulse · v4.0.10 · developer-tools
Machinepulse is healthy: it completed an MCP handshake in 824 ms and exposes 16 tools.
Market data tools for the MCP ecosystem: server stats, events, search, leaderboards, package trends.
Endpoint: https://machinepulse.tech/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 16 |
| Latency | 824 ms |
| Last checked (UTC) | 2026-10-21T16:36:02.785Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-21T16:36:02.785Z | Healthy | 824 |
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. Use when the user asks how big or how fast-growing the MCP ecosystem is. |
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. Use when the user asks how an npm package is growing. |
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. Use when the user asks how a PyPI package is growing. |
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. Use when the user asks what is trending on GitHub. |
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. Use when the user asks w |
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 keys, not free-form |
search_mcp_servers | 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. Use when the user gives a name, a task wor |
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). Use when the user wants to compare package popularity side by side. |
pulse | Snapshot every observatory metric for a day — window values with formula, formula_plain (one English line), basis, and per-metric history depth (metric_history_from); insufficient history is reported as a fact, never a fake zero. Use when the user asks for the current state of the AI agent ecosystem |
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 facts only, no qual |
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. Use when the user wants the state of the whole market in a single request. |
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. Use when the user asks whether the observatory data is fresh or complete. |
get_agents_summary | Summarize the A2A agent registry — snapshot total and verified counts plus new and left agents over the last 7 days. 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. 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. Use when the user asks about agent payments or x402 volume. |
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. Use when the user asks when a protocol shipped something. |