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Feature meilisearch-mcp as an official AI assistant tool #3276

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merged 4 commits into from
Jun 18, 2025
Merged

Feature meilisearch-mcp as an official AI assistant tool #3276

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5ad3dc5
Feature meilisearch-mcp as an official AI assistant tool
tpayet Jun 16, 2025
5dac1d6
Make MCP references more tool-agnostic
tpayet Jun 16, 2025
2f31643
Update learn/ai_powered_search/conversational_search_with_chat.mdx
guimachiavelli Jun 18, 2025
5b2c188
fix mintlify warnings
guimachiavelli Jun 18, 2025
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2 changes: 0 additions & 2 deletions guides/ai/getting_started_with_chat.mdx
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Expand Up @@ -4,8 +4,6 @@ sidebarTitle: Getting started with chat
description: Learn how to implement AI-powered conversational search in your application
---

import { Warning, Note } from '/snippets/notice_tag.mdx'

This guide walks you through implementing Meilisearch's chat completions feature to create conversational search experiences in your application.

<Warning>
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6 changes: 4 additions & 2 deletions learn/ai_powered_search/conversational_search_with_chat.mdx
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Expand Up @@ -4,8 +4,6 @@ sidebarTitle: Conversational search
description: Learn how to implement AI-powered conversational search using Meilisearch's chat feature
---

import { Warning } from '/snippets/notice_tag.mdx'

Meilisearch's chat completions feature enables AI-powered conversational search, allowing users to ask questions in natural language and receive direct answers based on your indexed content. This feature transforms the traditional search experience into an interactive dialogue.

<Warning>
Expand Down Expand Up @@ -65,6 +63,10 @@ Meilisearch's chat completions consolidates these into one streamlined process:
- Exact matching is critical
- Response time is paramount

## Alternative: Model Context Protocol integration

When integrating Meilisearch with AI assistants and automation tools, consider using [Meilisearch's Model Context Protocol (MCP) server](/guides/ai/mcp). MCP enables standardized tool integration across various AI platforms and applications.

## Architecture overview

The chat completions feature operates through workspaces, which are isolated configurations for different use cases or tenants. Each workspace can:
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5 changes: 5 additions & 0 deletions learn/resources/sdks.mdx
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Expand Up @@ -53,6 +53,11 @@ You can use Meilisearch API wrappers in your favorite language. These libraries
- [Gatsby plugin](https://github.com/meilisearch/gatsby-plugin-meilisearch/)
- [Firebase](https://github.com/meilisearch/firestore-meilisearch)

## AI Assistant tools

- [meilisearch-mcp](https://github.com/meilisearch/meilisearch-mcp): Model Context Protocol server for integrating Meilisearch with AI assistants and tools
- Guide: [Model Context Protocol integration](/guides/ai/mcp)

## Other tools

- [docs-scraper](https://github.com/meilisearch/docs-scraper): a scraper tool to automatically read the content of your documentation and store it into Meilisearch.
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1 change: 0 additions & 1 deletion reference/api/chats.mdx
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Expand Up @@ -5,7 +5,6 @@ description: The /chats route allows you to create conversational search experie
---

import { RouteHighlighter } from '/snippets/route_highlighter.mdx';
import { Warning } from '/snippets/notice_tag.mdx'

The `/chats` route enables AI-powered conversational search by integrating Large Language Models (LLMs) with your Meilisearch data. This feature allows users to ask questions in natural language and receive contextual answers based on your indexed content.

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