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
Project documentation lists list_orgs for the MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.
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.