Meilisearch MCP Server
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- AlicenseBqualityNot gradedmaintenanceEnables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.68-
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- FlicenseNot gradedqualityBmaintenanceEnables file operations, database queries, web search, and calculations through the Model Context Protocol, allowing integration with clients like Claude Desktop and Cursor.1-
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.MIT
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TDQS
Scored across 68 tools
Most tools have distinct purposes targeting specific resources and actions, such as document management, index operations, settings, and tasks. However, some overlap exists between similar tools like get-document/get-documents and delete-document/delete-documents, which could cause minor confusion, though descriptions clarify their singular vs. plural focus.
Tool names follow a highly consistent verb-noun pattern with hyphens throughout, such as add-documents, delete-index, get-settings, and update-ranking-rules. This uniformity makes the set predictable and easy to navigate, with no deviations in style or structure.
With 68 tools, the count is excessive for a search server, making it overwhelming and heavy for agents to manage. While Meilisearch has many features, this large number suggests poor scoping, as many tools could be consolidated or omitted without losing functionality.
The tool set provides comprehensive coverage of Meilisearch's domain, including full CRUD for documents and indexes, detailed settings management, task handling, search operations, and system information. No obvious gaps exist; agents can perform all core workflows without dead ends.