Hugoduncan Mcp Vector Search
- 3 repo stars
- Updated November 6, 2025
- hugoduncan/mcp-vector-search
hugoduncan-mcp-vector-search is a Claude Code plugin that connects agents to semantic document search through MCP embedding and server configuration.
About
hugoduncan-mcp-vector-search is a Claude Code plugin for semantic document search delivered through the Model Context Protocol. developers who want agents to retrieve relevant passages from their own files—specs, notes, code docs—can register this bundle instead of hand-rolling embeddings, index management, and MCP tool definitions. The entry is categorized as configuration and integration, reflecting embed pipelines, server setup, and writing or config guides across two plugins. It targets agent-first workflows: your coding agent queries a vector index rather than stuffing entire folders into context. Use it during Build when you are connecting RAG-like retrieval to Claude Code, Cursor, or other MCP clients. It does not replace a hosted vector database product; it packages the hugoduncan mcp-vector-search project for local or self-managed semantic search.
- Semantic search over your files exposed to AI agents via MCP
- Embedding and configuration-oriented plugin keywords (embed, config, servers)
- Two-plugin bundle: MCP vector search plus setup/configuration guidance
- Library-style integration rather than a single opaque command
- Fits document-grounded agents without building search from scratch
Hugoduncan Mcp Vector Search by the numbers
- Data as of Jul 15, 2026 (Skillselion catalog sync)
/plugin install hugoduncan-mcp-vector-search@hugoduncan/mcp-vector-searchAdd your badge
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| repo stars | ★ 3 |
|---|---|
| Last updated | November 6, 2025 |
| Repository | hugoduncan/mcp-vector-search ↗ |
What it does
Give Claude and other agents semantic search over your local documents through an MCP vector-search server.
Who is it for?
Best when you're adding RAG-style retrieval to Claude Code via MCP without building embed + search servers yourself.
Skip if: Skip if you only need full-text grep in-repo or already run a managed cloud vector DB with a different MCP.
What you get
After install, configured MCP vector search lets agents embed and query your documents semantically during coding sessions.
- MCP-accessible semantic search over configured files
- Embedding and server configuration workflow in the plugin bundle
- Agent queries that return relevant document chunks instead of full-folder context
By the numbers
- pluginCount: 2
- repository: hugoduncan/mcp-vector-search
- catalog stars at ingest: 2
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MCP semantic-search integration, not a product-management or VW ML training plugin.
FAQ
Who is Hugoduncan Mcp Vector Search for?
Developers using Claude Code or MCP-compatible agents who want semantic search across their own document files.
When should I use Hugoduncan Mcp Vector Search?
Use it while building agent integrations when context window limits force you to retrieve relevant docs instead of pasting everything.
How do I add Hugoduncan Mcp Vector Search to my agent?
Install the plugin from hugoduncan/mcp-vector-search, configure embedding and MCP server settings per the bundle guides, then point Claude Code at the MCP vector search server.