Simple Files Vectorstore
Provides semantic search across local files by creating vector embeddings from watched directories.
@lishenxydlgzs/simple-files-vectorstore
A Model Context Protocol (MCP) server that provides semantic search capabilities across files. This server watches specified directories and creates vector embeddings of file contents, enabling semantic search across your documents.
Installation & Usage
Add to your MCP settings file:
{
"mcpServers": {
"files-vectorstore": {
"command": "npx",
"args": [
"-y",
"@lishenxydlgzs/simple-files-vectorstore"
],
"env": {
"WATCH_DIRECTORIES": "/path/to/your/directories"
},
"disabled": false,
"autoApprove": []
}
}
}
MCP settings file locations:
- VSCode Cline Extension:
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Claude Desktop App:
~/Library/Application Support/Claude/claude_desktop_config.json
Configuration
The server requires configuration through environment variables:
Required Environment Variables
You must specify directories to watch using ONE of the following methods:
WATCH_DIRECTORIES: Comma-separated list of directories to watchWATCH_CONFIG_FILE: Path to a JSON configuration file with awatchListarray
Example using WATCH_DIRECTORIES:
{
"mcpServers": {
"files-vectorstore": {
"command": "npx",
"args": [
"-y",
"@lishenxydlgzs/simple-files-vectorstore"
],
"env": {
"WATCH_DIRECTORIES": "/path/to/dir1,/path/to/dir2"
},
"disabled": false,
"autoApprove": []
}
}
}
Example using WATCH_CONFIG_FILE:
{
"mcpServers": {
"files-vectorstore": {
"command": "npx",
"args": [
"-y",
"@lishenxydlgzs/simple-files-vectorstore"
],
"env": {
"WATCH_CONFIG_FILE": "/path/to/watch-config.json"
},
"disabled": false,
"autoApprove": []
}
}
}
The watch config file should have the following structure:
{
"watchList": [
"/path/to/dir1",
"/path/to/dir2",
"/path/to/specific/file.txt"
]
}
Optional Environment Variables
CHUNK_SIZE: Size of text chunks for processing (default: 1000)CHUNK_OVERLAP: Overlap between chunks (default: 200)IGNORE_FILE: Path to a .gitignore style file to exclude files/directories based on patterns
Example with all optional parameters:
{
"mcpServers": {
"files-vectorstore": {
"command": "npx",
"args": [
"-y",
"@lishenxydlgzs/simple-files-vectorstore"
],
"env": {
"WATCH_DIRECTORIES": "/path/to/dir1,/path/to/dir2",
"CHUNK_SIZE": "2000",
"CHUNK_OVERLAP": "500",
"IGNORE_FILE": "/path/to/.gitignore"
},
"disabled": false,
"autoApprove": []
}
}
}
MCP Tools
This server provides the following MCP tools:
1. search
Perform semantic search across indexed files.
Parameters:
query(required): The search query stringlimit(optional): Maximum number of results to return (default: 5, max: 20)
Example response:
[
{
"content": "matched text content",
"source": "/path/to/file",
"fileType": "markdown",
"score": 0.85
}
]
2. get_stats
Get statistics about indexed files.
Parameters: None
Example response:
{
"totalDocuments": 42,
"watchedDirectories": ["/path/to/docs"],
"processingFiles": []
}
Features
- Real-time file watching and indexing
- Semantic search using vector embeddings
- Support for multiple file types
- Configurable chunk size and overlap
- Background processing of files
- Automatic handling of file changes and deletions
Repository
Related Servers
Hotel Booking
Search and book from over 2 million hotels with shopping and booking capabilities.
Scryfall
Search for Magic: The Gathering cards and get details, rulings, and prices using the Scryfall API.
MCP Open Library
A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book and author information.
Searchcraft
Manage Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics.
GW_MCP
An MCP (Model Context Protocol) server providing tools to query Gravitational Wave (GW) data from GraceDB and GWOSC.
MCP Deep Search
A server for performing deep web searches using the @just-every/search library, requiring API keys via an environment file.
Library Docs MCP Server
Search and fetch documentation for popular libraries like Langchain, Llama-Index, and OpenAI using the Serper API.
Fish MCP Server
Search for fish species using the FishBase database. Supports natural language queries in both Japanese and English.
Serpstat MCP Server
SEO analysis using the Serpstat API.
Gemini Web Search
Performs web searches using the Gemini Web Search Tool via the local gemini-cli.