Supabase Vector MCP Server for Cline 7 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Supabase Vector through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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{
"mcpServers": {
"supabase-vector": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Supabase Vector MCP Server
Integrate the powerful AI-native PostgreSQL extensions of Supabase Vector straight into your conversational LLM workflows. By authenticating your environment natively with the service_role key, your AI assistant bypasses row-level security constraints to operate as an unrestricted database administrator. Perform advanced similarity searches using the pgvector extension, parse and manipulate multi-dimensional embeddings, and execute foundational CRUD operations via simple natural language commands. Streamline RAG (Retrieval-Augmented Generation) setups and semantic engineering directly, avoiding the need for external dashboards or manual SQL querying.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Supabase Vector tool calls without waiting for prompts between steps. Connect 7 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Semantic Vector Matching — Seamlessly query unstructured contextual similarities performing embedding comparisons by executing
match_vectorsutilizing custom postgres RPC parameters locally. - Database Structural Interaction — Systematically browse schema availability utilizing
list_tablesand extract specific data arrays effortlessly throughquery_table_rows. - Content State Manipulations — Seamlessly orchestrate data inputs invoking
insert_table_rowsor explicitly clear legacy assignments logically mapping identifiers withdelete_table_rows. - Custom Functional Logic — Launch sophisticated PL/pgSQL algorithms statically configured in your Supabase backend directly with
call_postgres_function.
The Supabase Vector MCP Server exposes 7 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Supabase Vector to Cline via MCP
Follow these steps to integrate the Supabase Vector MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Supabase Vector
Ask Cline: "Using Supabase Vector, help me...". 7 tools available
Why Use Cline with the Supabase Vector MCP Server
Cline provides unique advantages when paired with Supabase Vector through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Supabase Vector + Cline Use Cases
Practical scenarios where Cline combined with the Supabase Vector MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Supabase Vector and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Supabase Vector tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Supabase Vector and generates snapshot tests or mocks based on actual payloads
Incident response: query Supabase Vector for real-time status and let Cline generate hotfix patches based on the findings
Supabase Vector MCP Tools for Cline (7)
These 7 tools become available when you connect Supabase Vector to Cline via MCP:
call_postgres_function
Calls a custom Postgres function (RPC) with parameters
delete_table_rows
This action is irreversible. Deletes rows from a table based on a column value
get_table_row
Retrieves a specific row by matching a column value
insert_table_rows
Provide a JSON array of row objects. Inserts new rows into a specific table
list_tables
Lists all tables in the Supabase project
match_vectors
Requires a valid RPC function name and an embedding array. Performs a vector similarity search via Postgres RPC
query_table_rows
Provide table name and optional select/limit. Queries rows from a specific table
Example Prompts for Supabase Vector in Cline
Ready-to-use prompts you can give your Cline agent to start working with Supabase Vector immediately.
"Using the 'match_docs' vector RPC natively, analyze my embedding representation returning seamlessly the top 5 matches."
"Browse my schema directly to identify active vector tables and delete any legacy testing embeddings from 'test_docs' securely."
"Insert a new embedding natively calling `insert_table_rows` with the corresponding context efficiently."
Troubleshooting Supabase Vector MCP Server with Cline
Common issues when connecting Supabase Vector to Cline through the Vinkius, and how to resolve them.
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Supabase Vector + Cline FAQ
Common questions about integrating Supabase Vector MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
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Connect Supabase Vector to Cline
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.