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Semantic Search MCP

by bborbe
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Python
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Alternatives to Semantic Search MCP

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    Related Servers

    • obsidian-notes-rag

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      Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.
      15
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    • Markdown Notes MCP

      codeMaestro78
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    • mcp-memory-search

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    • Smart Connections MCP Server

      msdanyg
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      quality
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      Enables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool serves a distinct purpose: semantic search, duplicate detection, and content retrieval. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (search_related, check_duplicates, get_content) using snake_case. The naming is predictable and readable.

    Tool Count5/5

    Three tools is an appropriate, focused set for a semantic search server. Each tool earns its place and the scope is well-defined.

    Completeness5/5

    The server covers the core needs of semantic search: finding related notes, detecting duplicates, and retrieving content. There are no missing operations that would hinder its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources