directory-indexer
Active·★ 17·Updated 2026-05-07
★ Trending★ RAG / Knowledge Base★ API Integration
Directory Indexer MCP Server - A local MCP Server for indexing your local directories into a knowledgebase for your AI Assistants.
Directory Indexer transforms your local files and directories into an AI-powered knowledge base, enabling self-hosted semantic search. It allows AI assistants to search, read, and work with your local content, providing meaningful results from your actual data.
#AI-powered knowledge base#Semantic Search#Vector Database#Local Files Indexing#Ollama#Qdrant#Node.js#MCP Integration
01
Features
01Self-hosted semantic search: Provides local, private search capabilities over your files.
02AI Assistant Integration: Seamlessly integrates with AI assistants (e.g., Claude Desktop, Cursor) via MCP for natural language queries.
03Flexible Embedding Providers: Supports various embedding services like Ollama (local, free) or OpenAI (cloud-based, paid).
04Workspace Support: Organize content into focused search areas for better management and targeted queries.
05Extensive File Type Support: Indexes a wide range of text, code, data, and configuration files.
02
Compatibility
Node.js
Runtime
Verified via docs
Docker
Containerization
Verified via docs
Qdrant
Vector Database
Verified via docs
Ollama
Embedding Provider
Verified via docs
OpenAI API
Embedding Provider
Verified via docs
AI Assistants (MCP)
Integration
Verified via docs
03
Quick start
1
$ npm install -g directory-indexer@latest
04
Use cases
↳Search by concept: Find API authentication examples, error handling patterns, or Redis configuration.
↳Find similar content: Identify incidents similar to a specific outage report or documentation like a given API guide.
↳Troubleshoot issues: Locate troubleshooting guides for SQL deadlocks, solutions for timeout errors, or debugging tips for performance issues.
05
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Comments
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- SSage KimApr 6, 2026
Local directory indexing for MCP — makes your filesystem navigable by AI tools.
- SShawn PatelMar 13, 2026
Index-based approach is faster than recursive directory listing for large trees.
- BBlake WilsonMar 12, 2026
Good for AI workflows that need to search and navigate local file structures.
- EEmerson ZhangFeb 27, 2026
Works with standard filesystem structures without configuration.