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MCP Vector Sync

MCP Vector Sync

Public
qtoexdj/mcp_vector_sync

Automated multi-tenant vector search synchronization with Supabase using event-driven architecture, OpenAI embeddings, MCP protocol tools, and robust retry and monitoring features for efficient and scalable data management.

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

Supercharge Your AI with MCP Vector Sync

MCP Server

Unlock the full potential of MCP Vector Sync 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
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
SUPABASE_SERVICE_ROLE_KEY
Optional
string

Service role key for Supabase

SUPABASE_URL
Optional
string

URL of your Supabase project

MAX_RETRIES
Optional
string

Maximum number of retries for failed operations

Default: 3
OPENAI_API_KEY
Optional
string

Your OpenAI API key

BATCH_SIZE
Optional
string

Number of records to process in each batch

Default: 50
MONITOR_INTERVAL
Optional
string

Interval for monitoring changes in milliseconds

Default: 60000
CONCURRENT_REQUESTS
Optional
string

Maximum number of concurrent requests

Default: 5
MAX_CONCURRENT
Optional
string

Maximum number of concurrent operations

Default: 3
RATE_LIMIT_PER_TENANT
Optional
string

Rate limit per tenant

Default: 100
OPENAI_MODEL
Optional
string

OpenAI embedding model to use

Default: text-embedding-ada-002
LOG_LEVEL
Optional
string

Level of logging (e.g., info, debug)

Default: info

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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