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A tool for finding Redmine tickets and wiki pages using natural language search

  • Why this server?

    Provides RAG (Retrieval Augmented Generation) capabilities specifically designed for semantic document search. This would be useful for searching through wiki pages.

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    security
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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
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    4
    TypeScript
    Apache 2.0
  • Why this server?

    Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces - useful for searching wikis.

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    security
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    license
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    quality
    Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
    2
    6
    JavaScript
    • Apple
  • Why this server?

    A Model Context Protocol server for interacting with Redmine using its REST API, enabling the management of tickets, projects, and user data through integration with LLMs, directly addressing the 'redmine ticket' part of the query.

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    security
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    license
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    quality
    A Model Context Protocol server for interacting with Redmine using its REST API, enabling the management of tickets, projects, and user data through integration with LLMs.
    23
    1
    TypeScript
    MIT License
  • Why this server?

    Provides unified access to multiple search engines and content processing services, which can be helpful for broader search and analysis of both Redmine and Wiki content.

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    security
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    license
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    quality
    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
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    47
    30
    TypeScript
    MIT License
    • Linux
  • Why this server?

    A Model Context Protocol server implementation that enables AI-powered access to documentation resources. Could potentially be adapted to index a wiki and allow searching.

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    security
    A
    license
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    quality
    A Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.
    3
    Python
    MIT License