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Files-DB-MCP

Files-DB-MCP

Public
randomm/files-db-mcp

Local vector database providing fast, real-time semantic code search and indexing for software projects via Model Context Protocol (MCP), compatible with LLM coding agents and customizable with open-source embedding models.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with Files-DB-MCP

MCP Server

Unlock the full potential of Files-DB-MCP through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Configuration Requirements
none
Configure authentication and required variables to access this MCP server
Required Environment Variables
EMBEDDING_MODEL
Optional
string

Change the embedding model (default: 'jinaai/jina-embeddings-v2-base-code' or project-specific model)

Default: jinaai/jina-embeddings-v2-base-code
QUANTIZATION
Optional
string

Enable/disable quantization

Default: true
FAST_STARTUP
Optional
string

Set to 'true' to use a smaller model for faster startup

Default: false
BINARY_EMBEDDINGS
Optional
string

Enable/disable binary embeddings

Default: false
IGNORE_PATTERNS
Optional
string

Comma-separated list of files/dirs to ignore

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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