Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Market data tools for the MCP ecosystem: server stats, events, search, leaderboards, package trends.
Remote server: your requests and data go to machinepulse.tech. Claude Code: claude mcp add --transport http machinepulse https://machinepulse.tech/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
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 categorget_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 cget_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 cget_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 tget_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-wget_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, categsearch_mcp_servers — Search MCP servers by canonical_key (former keys included, they stay as aliases), name or description — substring match, not fuzzy search, oget_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). Rget_pulse — Snapshot every observatory metric for one day — window values with formula, formula_plain, basis, and per-metric history depth (`metric_histget_leaderboard — Rank tracked entities (servers, agents, models) by a project-level metric — project_momentum (score: middle of star/download/HF-derivative gget_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 get_data_quality — Report collector health — coverage, per-source freshness and missed snapshot runs with reasons, separating recent misses from the whole recoget_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 oget_llm_summary — Summarize the Hugging Face model watchlist — model count, new arrivals, derivative net flow and the license tier mix. Read-only aggregation 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 dataget_protocols_timeline — List the protocol chronicle (MCP, A2A, AP2, x402) — releases and milestones, newest first, optionally filtered by protocol; limit/offset pagNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.