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MCP Vector Sync

MCP Vector Sync

Public
qtoexdj/mcp_vector_sync

A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.

Verified
typescript
0 tools
May 30, 2025
Updated May 30, 2025
Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
CONCURRENT_REQUESTS
Optional
string

Maximum number of concurrent requests

Default: 5
MAX_RETRIES
Optional
string

Maximum number of retries for failed operations

Default: 3
LOG_LEVEL
Optional
string

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

Default: info
MAX_CONCURRENT
Optional
string

Maximum number of concurrent operations

Default: 3
SUPABASE_URL
Optional
string

URL of your Supabase project

MONITOR_INTERVAL
Optional
string

Interval for monitoring changes in milliseconds

Default: 60000
OPENAI_MODEL
Optional
string

OpenAI embedding model to use

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

Your OpenAI API key

SUPABASE_SERVICE_ROLE_KEY
Optional
string

Service role key for Supabase

BATCH_SIZE
Optional
string

Number of records to process in each batch

Default: 50
RATE_LIMIT_PER_TENANT
Optional
string

Rate limit per tenant

Default: 100

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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