Skip to main content
Glama
77,006 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A tool to evaluate the suitability of semantic search queries" matching MCP servers:

  • A
    license
    A
    quality
    B
    maintenance
    Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
    3
    2
    BSD 2-Clause "Simplified"
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables fully local semantic search over a Roam Research graph via MCP, providing tools for hybrid retrieval, index refresh, and stats while keeping all content on-machine.
    1
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.
    1
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables MCP clients to serve and query semantic models, providing tools for entity descriptions, metric lookups, context resolution, and operation validation for AI agents.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Persistent memory with semantic search for Claude and MCP-compatible clients, storing context that survives conversations and can be retrieved intelligently.
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
    13
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A persistent memory layer for Claude Desktop that enables semantic search and CRUD operations on your Obsidian vault using local embeddings and PostgreSQL+pgvector.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.
    16
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
    34
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.
    1
    MIT