Couchbase (Vector & NoSQL) MCP Server
Manage vector search and NoSQL via Couchbase — execute N1QL queries, perform KNN vector searches, and audit documents directly from any AI agent.
Vinkius AI Gateway supports streamable HTTP and SSE.
Works with every AI agent you already use
…and any MCP-compatible client
Couchbase MCP Server: see your AI Agent in action
Built-in capabilities (7)
execute_n1ql_query
Provision a highly-available JSON Payload generating generic N1QL constraints
fts_search
Perform structural text-based extraction matching asynchronous Content Trees
get_document
Fetch elaborate internal mapped properties limiting Couchbase KV documents
list_buckets
Identify bounded routing spaces inside the Headless Couchbase DB
list_indexes
Enumerate explicitly attached structured rules exporting active Search Indexes
list_scopes
Retrieve explicit UX logging tracing explicit Scope and Collection Object limits
vector_search
Execute static listing mapping structural KNN Vector similarities via Index
What this connector unlocks
Connect your Couchbase (Capella or self-hosted) cluster to any AI agent and take full control of your NoSQL and vector data through natural conversation.
What you can do
- Vector Search (KNN) — Execute direct searches mapping AI embeddings to locate textual similarities using native vector indices
- N1QL SQL-for-JSON — Push absolute explicit querying using N1QL (SQL for Couchbase) to retrieve complex JSON structures across your buckets
- Document CRUD — Fetch elaborate internal properties and retrieve exact Data maps from specific collections using unique document keys
- Full-Text Search (FTS) — Perform structural text-based extraction matching query strings across advanced FTS search indexes
- Schema Navigation — Identify bounded routing spaces including Buckets, Scopes, and Collections to understand your data organization
- Index Auditing — Enumerate explicitly registered Search Indexes and verify vector definitions and cluster configurations
How it works
1. Subscribe to this server
2. Enter your Couchbase URL, Database Username, and Database Password
3. Start querying your NoSQL and vector data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- AI Developers — test and debug vector similarity searches and semantic matching for RAG applications
- Data Architects — audit NoSQL data structures and verify collection organization across environments
- Database Administrators — monitor search indexes and execute N1QL queries to verify data consistency
- Product Teams — quickly prototype search features and audit JSON document schemas through natural language
Frequently asked questions
Give your AI agents the power of Couchbase
Access Couchbase and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
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