Move data between Kafka, NATS, RabbitMQ, MQTT, IBM MQ, SQL databases, MongoDB, files and HTTP: publish messages and run copy routes with endpoints given inline as JSON, while the rows never pass through the model's context.
9
11
27
Apache 2.0
Why this server?
Provides a Model Context Protocol (MCP) server for interacting with Meilisearch through LLM interfaces, supporting index and document management, settings configuration, task monitoring, API key management, and search capabilities across single or multiple indices.
Enables AI assistants to search campaigns, view agent profiles, and build funding transactions on the Clawsfund Solana crowdfunding platform.
5
20 npm
1
MIT
Why this server?
Serves as a Model Context Protocol server implementation for Meilisearch, enabling AI assistants to interact with Meilisearch databases through a standardized interface for search, document management, and index operations
Enables AI assistants to interact with Meilisearch via the Model Context Protocol, allowing comprehensive index, document, and search management through a standardized interface.
68
8 npm
11
MIT
Why this server?
Provides Meilisearch-powered text search capabilities for Civitai models, offering fast and accurate search functionality as an alternative to Civitai's broken REST API search.
A comprehensive MCP server for interacting with the Civitai API to search models, browse images with generation prompts, and manage downloads. It features extensive support for various base models like SDXL and Flux, includes NSFW filtering, and provides automated download commands for ComfyUI.
21
32 PyPI
26
MIT
Why this server?
Provides comprehensive tools for interacting with Meilisearch, including index management, document operations (add, update, delete), search capabilities with filters, settings configuration, task monitoring, and experimental vector search features.
Enables 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
-
Why this server?
Allows operators to plug in a private Meilisearch index into the search endpoint for custom data search.
Single MCP server providing over 500 developer tools for Claude Code, covering security, testing, documentation, and more.
500
120 npm
3
MIT
Why this server?
Integrates Meilisearch as a search backend, allowing agents to perform full-text searches across the documentation using Meilisearch's search capabilities.
Provides MCP tools for searching and navigating a built Sphinx documentation site, exposing page contexts, headings, metadata, and navigation structure.
