# Meilisearch

> Use this tool when you need to integrate powerful search capabilities into AI applications, enabling large language models to perform complex searches against structured data. It solves problems related to information retrieval, providing features like index management, document operations, and filtered search functionality. With inputs like search queries and indexes, and outputs like relevant documents and search results, Meilisearch is ideal for use cases requiring AI-assisted data retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/cnosuke-meilisearch  
JSON: https://api.skillsregistry.net/v1/skills/cnosuke-meilisearch

## Description

This MCP server implementation provides a Go-based wrapper for Meilisearch, enabling large language models to access Meilisearch's search capabilities through the Model Context Protocol. Developed by cnosuke, it offers tools for index management, document operations, and search functionality, allowing AI assistants like Claude to perform powerful search operations against Meilisearch indexes. The lightweight server supports features such as health checks, creating indexes, adding documents, and executing complex searches with filtering and sorting options, making it ideal for applications requiring AI-assisted information retrieval from structured data.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cnosuke-meilisearch)
- **Repository:** <https://github.com/cnosuke/mcp-meilisearch>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cnosuke-meilisearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cnosuke-meilisearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cnosuke-meilisearch/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt