* feat(askai): add compatibility with algolia mcp search tool [DASH-2294] (#2862) ## Summary Fixes DASH-2294 Add compatibility with the Algolia MCP search tool (`algolia_search_index_${string}`) in AskAI. ## Changes - Add `AlgoliaMCPSearchTool` type to handle the Algolia MCP server search tool - Refactor how number of hits are retrieved in `ToolCall` into a `getNumberOfHits` helper ## Test plan - Added unit tests for modified code ✅ * chore: Update to use tsdown for build system (#2824) * chore: Update to use tsdown for build system * fix: docsearch-react build * fix: lint * fix: glob resolved to incorrect version * chore: migrate to from yarn, lerna and shipjs to bun & changesets (#2827) * chore: add tool-versions file for node and bun versions (#2866) * chore: watch in parallel (#2867) * feat: agent studio feedback integration (#2868) * feat(askai): Split Ask AI modal into own component (#2884) * feat(askai): Split Ask AI modal into own component * refactor(react): share modal utilities * refactor(react): share search box form * refactor(react): extract start screen sections * refactor(react): extract shared modal hooks * fix: lint adapter * refactor(react): reorganize modal files * fix: type error in examples * fix: remove ai modal from adapter for now, fix import paths of react package * feat(askai): Agent Studio core tools (#2886) * feat(askai): Implement dynamic tool calls * move ToolCall to components dir * Converge Agent Studio search tools to same definition, fix client side tools breaking UI state * add examples for custom tools * fix: lint & types * feat(askai): add Agent Studio memory support (#2888) * feat(askai): remove Ask AI transport layer (#2889) * feat(askai): add Agent Studio memory support * refactor(askai): remove Ask AI transport abstraction * feat(askai): Feedback notes and tags (#2890) * feat(askai): add Agent Studio memory support * refactor(askai): remove Ask AI transport abstraction * feat(askai): Feedback notes and tags * fix: bump css bundle size limit * move feedback actions to components * chore: fix deploys for v5 branch * feat(askai): Aggregate MCP search tool calls (#2891) * feat(askai): add Agent Studio memory support * refactor(askai): remove Ask AI transport abstraction * feat(askai): Feedback notes and tags * fix: bump css bundle size limit * move feedback actions to components * feat(askai): Aggregate MCP search tool calls * feat(askai): Allow dynamic indices for Agent Studio (#2893) * feat(v5): UI updates (#2896) * feat(v5): UI updates * fix: css file size * fix: e2e tests * fix: e2e tests * fix: e2e tests * chore: add theme toggle to react demo example * Update sources panel display, update dark theme * fix: lint * fix(askai): address ui review feedback * fix: pin icon positioning * fix(askai): improve a11y and dark-mode shimmer for thinking and error states - add role=alert/status and aria-hidden on error/thinking UI - support dark-mode shimmer gradients via CSS variables - respect prefers-reduced-motion for shimmer - handle null date in useRelativeFormattedDate with fallback translation * feat(v5): Add hit breadcrumbs (#2897) * feat(v5): UI updates * fix: css file size * fix: e2e tests * fix: e2e tests * fix: e2e tests * chore: add theme toggle to react demo example * Update sources panel display, update dark theme * fix: lint * fix(askai): address ui review feedback * fix: pin icon positioning * fix(askai): improve a11y and dark-mode shimmer for thinking and error states - add role=alert/status and aria-hidden on error/thinking UI - support dark-mode shimmer gradients via CSS variables - respect prefers-reduced-motion for shimmer - handle null date in useRelativeFormattedDate with fallback translation * feat(v5): Add hit breadcrumbs * fix: bump css bundle size limit * Fix after conflicts * chore: move CSS building to lightning css (#2898) * feat: Facet filters for search (#2899) * feat(v5): Initial facet filters work * Perf updates, dark theme, facet chips, a11y improvements * fix: bump css bundle size limit * Dedupe facet filters, refetch facets on searchParameters changes * Add chevron flourish * fix(askai): Fix new conversation causing thread depth errors (#2900) * feat(v5): Add hit result badge (#2901) * feat(v5): Add hit result badge * Add background to hit result badge * feat(v5): Add follow up prompt suggestions (#2902) * feat(v5): Add follow up prompt suggestions * fix: bump css bundle size limit * docs(agents): document Cursor Cloud dev environment setup for v5 (Bun) (#2903) Co-authored-by: Cursor Agent <cursoragent@cursor.com> * feat(mcp): setup mcp plugins (#2895) * feat(v5): Add prompt suggestions to keyword search (#2912) * feat(v5): Add prompt suggestions to keyword search * cleanup: Move consistent object to reusable constant * chore(v5): Split Ask AI related CSS into own bundle (#2913) * chore(v5): Split Ask AI related CSS into own bundle * move style.css to include modal and askai * fix: Ensure stage level and watch level scripts use bun runtime (#2915) * fix: Ensure stage level and watch level scripts use bun runtime * chore: move to node@24 update imports * fix: lint * feat(js): Document JS based hybrid mode, fix JS packages (#2916) * feat(js): Document JS based hybrid mode, fix JS packages * update: add model onOpen to docs * feat(cli): add @docsearch/cli for MCP setup and search (#2911) * chore(tsdown): Bump to latest tsdown version (#2918) * chore(tsdown): Bump to latest tsdown version * fix: bump nvmrc node version * fix: cli tsconfig * fix: website build * fix: example build * fix: circleci install bun * fix: lint * fix: circleci install bun * fix: circleci install bun * fix: circleci install bun * refactor(docusaurus-adapter): rework theme config for v5 and modularize SearchPage (#2904) Co-authored-by: Paul Jankowski <8BitTitan@gmail.com> * feat(askai): Move askai related props under root askai (#2919) * feat(askai): Move askai related props under root askai * fix: playwright test case * fix(docusaurus): validate Ask AI options * feat(js): Split JS bundles for search only (#2920) * chore: Move to oxlint and oxfmt (#2923) * chore: Get NPM OIDC token before publishing (#2924) * chore: Enter v5 beta (#2925) * chore: Enter pre release mode for v5 * chore: update release summary * chore: version bump * fix: Remove NPM_ID_TOKEN for release * fix: Try setting blank NPM_TOKEN * fix: Try blank NPM_AUTH_TOKEN * chore: bump node and npm for release job * docs(mcp): add service disclaimer (#2921) * fix: Agent Studio MCP search tool (#2927) * fix: Agent Studio MCP search tool * Add changeset * chore: Update stylelint (#2926) * chore: stylelint update * bun.lock * Add changeset * fix(website): use bare @import for tailwindcss (#2933) Tailwind's build-time `@import` cannot be written with `url()` notation, so `@import url('tailwindcss')` was passed through as a plain CSS import instead of being processed by Tailwind. Also syncs bun.lock with the 5.0.0-beta.0 versions already committed to package.json. * chore: version v5.0.0-beta.1 (#2932) * feat(react): remove deprecated index props (#2936) * feat(mcp): add ChatGPT and Codex DocSearch plugin package (#2938) * fix: cleanup claude * feat: website redesign (#2930) Co-authored-by: Cursor <cursoragent@cursor.com> * fix: lint * fix: crash on the demo (#2940) * feat(docs): Document v5 beta (#2935) * chore(docs): v5 documentation * Writing style clean up * fix: website after conflicts * fix: reported issues on mobile (#2944) * chore: Introduce a11y smoke tests (#2943) * chore: Add Lorris as codeowner (#2946) * fix(askai): Ask AI fixes for v5 (#2945) * fix: General v5 fixes (#2947) - Fix `ref` console error for a `FacetMenu` - Whitespace only search/conversation input does not trigger requests - Fix flash of no results page on search * feat: v5 general improvements (#2948) * feat(v5): General fixes and improvements * add changeset * fix: bundlesize * feat(v5): UI and DX improvements (#2949) * feat: Rename assistantId to agentId * feat: Allow reading default facet values from index searchParameters * feat: Remove indexName prop from Sidepanel, cleanup documentation pages * feat: Move appId and apiKey up into @docsearch/core * feat: Add back nested grouping of search results * add changeset * revert changes to example demo * fix: e2e tests * chore: push git tags on version release (#2951) * chore: release v5.0.0-beta.2 (#2950) * chore: Fix pushing git tags (#2953) * fix(askai): sanitize markdown HTML in v5 (#2954) Backport of #2929.\n\nOriginal commit: |
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| README.md | ||
Algolia DocSearch MCP Plugins
This directory contains client plugin packages for the public Algolia DocSearch MCP endpoint:
https://mcp.algolia.com/1/docsearch/mcp
The plugins connect AI coding clients to the public DocSearch documentation corpus. They do not expose crawler operations, DocSearch administration, private documentation, or Algolia index credentials.
Packages
mcp/plugins/docsearch/chatgpt/algolia-docsearch- Universal ChatGPT and Codex plugin package with manifest, MCP config, skill, assets, and submission materials.mcp/plugins/docsearch/cursor/algolia-docsearch- Cursor plugin package with MCP config, rule, skill, and README.mcp/plugins/docsearch/claude/algolia-docsearch- Claude Code plugin package with MCP config, skill, command, and README.
Public MCP Tools
You can query in natural language — full sentences and questions work well.
algolia_docsearch_search_docs
One-shot lookup, and the right default for most questions. Pass a library and a query; it resolves the best matching documentation set and returns ranked content in a single call:
{
"library": "Next.js",
"query": "how do middleware matchers work"
}
If the library is ambiguous, it returns candidate documentation sets instead — pick a docset_id and pass it to algolia_docsearch_query_docs.
algolia_docsearch_resolve_docset
Step 1 of the manual flow. Finds matching documentation sets and returns candidates with:
docset_id- title and description
- optional quality signals such as
trustScore,benchmarkScore, andpopularityScore
{
"query": "Next.js app router"
}
algolia_docsearch_query_docs
Step 2 of the manual flow. Queries documentation content for the selected docset_id values. Pass several when a question spans multiple products:
{
"query": "middleware matcher config",
"docsetIds": ["nextjs"]
}
Claude Desktop And claude.ai
Claude Desktop and claude.ai can connect directly to the same remote MCP endpoint when remote connectors are available in the client:
{
"algolia-docsearch": {
"type": "http",
"url": "https://mcp.algolia.com/1/docsearch/mcp"
}
}
No user authentication is required for the public DocSearch MCP endpoint.