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Update README based on PR feedback
- Remove Glama.ai badge component - Fix test badge URL to use 'Test and Lint' workflow name - Update description to emphasize MCP client compatibility (not just Claude) - Clarify that it works with any LLM/agent that supports MCP - Add note about stdio transport and upcoming native Meilisearch MCP support - Update examples to use generic 'AI' instead of 'Claude' - Update prerequisites to mention MCP-compatible clients broadly
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README.md

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<p align="center">
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<a href="https://pypi.org/project/meilisearch-mcp/"><img src="https://img.shields.io/pypi/v/meilisearch-mcp.svg" alt="PyPI version"></a>
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<a href="https://pypi.org/project/meilisearch-mcp/"><img src="https://img.shields.io/pypi/pyversions/meilisearch-mcp.svg" alt="Python Versions"></a>
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<a href="https://github.com/meilisearch/meilisearch-mcp/actions"><img src="https://github.com/meilisearch/meilisearch-mcp/workflows/Tests/badge.svg" alt="Tests"></a>
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<a href="https://github.com/meilisearch/meilisearch-mcp/actions"><img src="https://github.com/meilisearch/meilisearch-mcp/workflows/Test%20and%20Lint/badge.svg" alt="Tests"></a>
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<a href="https://github.com/meilisearch/meilisearch-mcp/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-informational" alt="License"></a>
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<a href="https://pypi.org/project/meilisearch-mcp/"><img src="https://img.shields.io/pypi/dm/meilisearch-mcp" alt="Downloads"></a>
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</p>
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<p align="center">⚡ Connect Claude to Meilisearch and supercharge your AI with lightning-fast search capabilities! 🔍</p>
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<p align="center">
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<a href="https://glama.ai/mcp/servers/tbc3n51jja"><img width="380" height="200" src="https://glama.ai/mcp/servers/tbc3n51jja/badge" alt="Meilisearch Server MCP server" /></a>
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</p>
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<p align="center">⚡ Connect any LLM to Meilisearch and supercharge your AI with lightning-fast search capabilities! 🔍</p>
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## 🤔 What is this?
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The Meilisearch MCP Server bridges the gap between Claude (Anthropic's AI assistant) and Meilisearch (the lightning-fast search engine). With this integration, Claude can directly manage your search indices, perform searches, and handle your data - all through natural conversation!
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The Meilisearch MCP Server is a Model Context Protocol server that enables any MCP-compatible client (including Claude, OpenAI agents, and other LLMs) to interact with Meilisearch. This stdio-based server allows AI assistants to manage search indices, perform searches, and handle your data through natural conversation.
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**Why use this?**
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- 🗣️ **Natural Language Control** - Manage Meilisearch through conversation with Claude
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- 🤖 **Universal Compatibility** - Works with any MCP client, not just Claude
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- 🗣️ **Natural Language Control** - Manage Meilisearch through conversation with any LLM
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- 🚀 **Zero Learning Curve** - No need to learn Meilisearch's API
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- 🔧 **Full Feature Access** - All Meilisearch capabilities at your fingertips
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- 🔄 **Dynamic Connections** - Switch between Meilisearch instances on the fly
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- 📡 **stdio Transport** - Currently uses stdio; native Meilisearch MCP support coming soon!
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## ✨ Key Features
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meilisearch
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```
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That's it! Now you can ask Claude to search and manage your Meilisearch data! 🎉
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That's it! Now you can ask your AI assistant to search and manage your Meilisearch data! 🎉
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## 📚 Examples
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### 💬 Talk to Claude naturally:
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### 💬 Talk to your AI assistant naturally:
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```
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You: "Create a new index called 'products' with 'id' as the primary key"
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Claude: I'll create that index for you... ✓ Index 'products' created successfully!
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AI: I'll create that index for you... ✓ Index 'products' created successfully!
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You: "Add some products to the index"
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Claude: I'll add those products... ✓ Added 5 documents to 'products' index
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AI: I'll add those products... ✓ Added 5 documents to 'products' index
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You: "Search for products under $50 with 'electronics' in the category"
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Claude: I'll search for those products... Found 12 matching products!
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AI: I'll search for those products... Found 12 matching products!
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```
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### 🔍 Advanced Search Example:
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```
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You: "Search across all my indices for 'machine learning' and sort by date"
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Claude: Searching across all indices... Found 47 results from 3 indices:
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AI: Searching across all indices... Found 47 results from 3 indices:
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- 'blog_posts': 23 articles about ML
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- 'documentation': 15 technical guides
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- 'tutorials': 9 hands-on tutorials
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- Python ≥ 3.9
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- Running Meilisearch instance
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- Claude Desktop app
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- MCP-compatible client (Claude Desktop, OpenAI agents, etc.)
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### From PyPI
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