Building an MCP gateway, tool router, or agent platform? Power your routing with a neutral, cross-ecosystem reliability signal — without building the data pipeline yourself. Your gateway sees only your traffic; Glimind sees across the whole ecosystem.
# cacheable snapshot: open breakages + recent recoveries + per-tool scores curl https://glimind.com/v1/reliability/feed # poll up to 1x/min # on-demand batch for the exact tools a request touches curl "https://glimind.com/v1/health?tools=github/search,slack/post,stripe/charge"
corroborated: true means ≥2 independent reporters agree — use it
to avoid flapping on a single noisy signal.Copy-paste reliability clients — TypeScript, Python (stdlib), and Go — plus reference
plugins and ready-to-submit PRs for MetaMCP, IBM ContextForge, Bifrost, and the
Docker MCP Gateway. Each annotates tools with the live verdict and pre-flights tools/call;
unknown tools or a fetch error always allow the call (the signal only improves routing, it never blocks it).
See the integrations/ directory in the repository.
Deriving reliability from your own logs is single-tenant: blind to outages until they hit your traffic, and biased to the tools your customers already use. Glimind is the independent rating layer — cross-ecosystem, neutral (we sell no tools and run no integrations), and citable. You stay the execution path; we're the data beneath it.
If you'd rather not wire the feed into your own gateway, point your MCP client at Glimind's reliability-aware router: declare your upstream servers once and get a single endpoint that pre-flights, fails over, and records every call for you. Free, no signup.
Forward privacy-clean outcomes of the calls you broker (via the SDK or an OTLP export) and your tools' scores get sharper while you earn higher limits. Fully payload-free — see privacy.
Partner / volume access: get a key · full reference.