Redis Vector MCP Server for Claude Code 6 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Redis Vector as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add redis-vector --transport http "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 Redis Vector MCP Server
Connect your Redis database (equipped with the RediSearch module) to your AI agent, turning it into an advanced Vector Database administrator. Activating this integration grants your conversational interface the power to interact directly with your semantic search engine, enabling tasks like querying mathematical embeddings for similar records, configuring fresh vector indexes, and managing geometric data structures without needing dedicated external database clients.
Claude Code registers Redis Vector as an MCP server in a single terminal command. Once connected, Claude Code discovers all 6 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Redis Vector data drives decisions without human intervention.
What you can do
- Similarity Vector Search (KNN) — Let the AI perform rapid native vector comparisons (
search_vectors). Provide an embedding array via prompt or code, and retrieve the absolute nearesttop_kneighbors securely cached in your infrastructure. - Index Management — Actively discover all loaded RediSearch vector indexes, investigate their configured dimensions (
get_index_info), or command the AI to instantiate new KNN indexes (create_vector_index) tailored for fresh AI workloads. - Embedding Administration — Inject and modify geometric vector components associated with a document key (
upsert_vector), or purge legacy embeddings efficiently (delete_vector) to keep semantic records clean and operational.
The Redis Vector MCP Server exposes 6 tools through the Vinkius. Connect it to Claude Code 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 Redis Vector to Claude Code via MCP
Follow these steps to integrate the Redis Vector MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Redis Vector
Ask Claude: "Using Redis Vector, show me...". 6 tools are ready
Why Use Claude Code with the Redis Vector MCP Server
Claude Code provides unique advantages when paired with Redis Vector through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Redis Vector tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Redis Vector + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Redis Vector MCP Server delivers measurable value.
CI/CD integration: embed Redis Vector tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Redis Vector nightly and generate reports without human intervention
Shell scripting: pipe Redis Vector outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Redis Vector status endpoints and alert on anomalies
Redis Vector MCP Tools for Claude Code (6)
These 6 tools become available when you connect Redis Vector to Claude Code via MCP:
create_vector_index
Specify the name and vector dimensions. Creates a new RediSearch vector index
delete_vector
Deletes a vector document from Redis
get_index_info
Retrieves details for a specific vector index
list_indexes
Lists all RediSearch vector indexes
search_vectors
Provide the query vector as a JSON array of floats. Performs a KNN similarity search in a vector index
upsert_vector
Specify the document key and the vector as a JSON array. Inserts or updates a vector in a Redis hash
Example Prompts for Redis Vector in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with Redis Vector immediately.
"Search the index 'customer-support-vector' for the top 3 similar records to this embedding vector: [0.12, -0.45, 0.08, 0.99...]"
"Insert a new embedding into the database with the key 'user:439:preference' containing the vector `[0.2, -0.1...]`."
"Retrieve the index information logic and schema mapping for 'docs-semantic-index'."
Troubleshooting Redis Vector MCP Server with Claude Code
Common issues when connecting Redis Vector to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Redis Vector + Claude Code FAQ
Common questions about integrating Redis Vector MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Redis Vector with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Redis Vector to Claude Code
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
