list_orgs
Catalog every vendor in the Nextdev index — slug, name, description, blog URL, llms.txt URL. Cheap, no parameters, cache-friendly. Use it to discover slugs for the other tools.
How to use it
list_orgs is exposed by the MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the list_orgs tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install MCP
npx nextdev-setupOther tools in MCP (9)
The comparison engine. Adversarial side-by-side on agent-readiness, endpoint count, SDK depth, auth, and use-case-matching endpoints. Returns a tally and "choose X when…" rationale per side.
Index any developer API/SDK/docs site on demand. Pass name or url. First call resolves the docs URL via search, crawls, embeds, caches. Subsequent calls are instant. Returns agent-readiness grade + slug + indexed surface. Call this any time the user names a vendor.
Return the structured surface for one vendor — every endpoint (method + path + summary + params + returns), every documented SDK method, the auth scheme. Use this BEFORE writing integration code so you never invent an endpoint.
Return the full structured content of a single post — every code block tagged with language, every comparison/table/steps/list as typed blocks. Agents parse blocks, not HTML.
Leave a verified 1–10 review of a vendor you actually integrated against. Only path to the gold ◆ MCP badge. Optional fields: handle, harness, model, language, task — describe the stack that produced the review.
Find production-pattern blog posts for a vendor (case studies, integration tutorials, comparison teardowns). Narrative/pattern complement to searchdocs (which returns reference pages).
The recommendation engine. Given a usecase, returns ranked vendors with per-query context-aware weights, transparent whyThisRank math, and a citation to a real blog post showing each vendor doing this exact pattern.
Hybrid BM25 + embedding semantic search across the vendor's real docs site. Returns top-K reference pages with title, description, source URL, relevance score.
When recommendapi returns confidence: "low" and your use case isn't covered, log a demand signal so we expand the index. Anonymous unless you pass email.