Tests connectivity to a Couchbase cluster and optionally verifies access to a specific bucket, returning connection status and cluster information.
Python
184,844 tools. Last updated 2026-06-08 20:05
"Couchbase" matching MCP tools:
- Retrieves the schema of a Couchbase collection by executing an INFER query, returning the collection name and inferred schema.Python
- List indexes in a Couchbase cluster, filtered by bucket, scope, collection, or index name. Returns index definition, status, and last scan time.Python
- Retrieve server status and configuration to verify if the server is running, without establishing a connection.Python
- Retrieve cluster health status and list all running services with latency and connection details; optionally ping services from a specific bucket.Python
- Analyzes a SQL++ query and provides recommendations for optimal indexes, including current, recommended secondary, and covering indexes to improve query performance.Python
Matching MCP Servers
- Python
- Alicense-qualityCmaintenanceA server that enables natural language interactions with Couchbase databases through the Model Context Protocol, allowing users to perform SQL++ queries on Couchbase Capella clusters using conversational commands.Last updated1MIT
- Retrieve the names of all accessible buckets in a Couchbase cluster.Python
- Execute a SQL++ query on a specified bucket scope and return results as a list of JSON objects.Python
- Retrieve the names of all scopes and their collections within a specified bucket. Returns a dictionary mapping scope names to lists of collection names.Python
- Identify performance bottlenecks by retrieving the longest running queries from the Couchbase system:completed_requests catalog.Python
- Retrieve the most frequent queries from the completed requests catalog to identify common query patterns.Python
- Retrieve the names of all scopes within a specified Couchbase bucket.Python
- Retrieve a document from a Couchbase bucket, scope, and collection using its ID. Returns the document or raises an exception if not found.Python
- Generate and evaluate EXPLAIN plans for SQL++ queries within a Couchbase bucket and scope to understand query execution.Python
- Identifies completed queries that did not utilize a covering index, helping optimize query performance by pinpointing indexing issues.Python
- Identify queries that consume the most bandwidth by retrieving those with the largest response sizes from the system catalog, helping optimize performance.Python
- Retrieve completed queries that rely on primary indexes from the system:completed_requests catalog to identify potential performance bottlenecks.Python
- List all collection names within a specified bucket and scope in a Couchbase cluster.Python
- Identify queries with low selectivity from completed requests to optimize database performance. Pinpoint and analyze non-selective queries for tuning.Python
- Identify queries with the highest result counts in the system:completed_requests catalog to analyze and optimize performance.Python