a-vector-database-for-efficient-similarity-search-and-ai-applications MCP servers

"a-vector-database-for-efficient-similarity-search-and-ai-applications" matching MCP servers:

• Todo for AI MCP Server

  todo-for-ai

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  security

  A

  license

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  quality

  Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

  Last updated 3 months ago

  27

  Apache 2.0

• Database Tools for Claude AI

  elber-code

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  security

  F

  license

  A

  quality

  MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

  Last updated 10 months ago

  1

  2

  4

• MCP Vector Memory

  vertexhub-ai

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  security

  A

  license

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  quality

  Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.

  Last updated 7 days ago

  MIT

• Vector Memory MCP

  Xsaven

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  security

  A

  license

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  quality

  A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.

  Last updated 4 days ago

  MIT

• MCP Server for Google Search

  mcp-for-dev

  A

  security

  F

  license

  A

  quality

  A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

  Last updated 9 months ago

  2

  2

  2

• Vector Memory MCP Server

  aeriondyseti

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  security

  A

  license

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  quality

  Provides local vector-based semantic memory storage for AI assistants to persist context and decisions across sessions using local embeddings and LanceDB. It enables private semantic search and session handoff capabilities to maintain long-term project context.

  Last updated 16 days ago

  24

  3

  MIT