Sazabi
CLI

sazabi mcp

Command reference for sazabi mcp.

sazabi mcp — Search and execute connected MCP tools. Subcommands: search, execute.

sazabi mcp

Search and execute connected MCP tools

sazabi mcp <subcommand>
sazabi mcp search "create issue" --json  # Discover connected tools
sazabi mcp execute linear_abc123/save_issue --arguments-file issue.json --json  # Execute a discovered tool

Search connected MCP tools

sazabi mcp search [query] [options]
FlagTypeRequiredDescription
--tokenstringNoOverride token
--api-base-urlstringNoOverride API base URL
--jsonbooleanNoOutput as JSON
--project-idstringNoOverride active project ID
--namespacestringNoRestrict results to one connection key
--include-input-schemabooleanNoInclude the exact selected tool input schema
--limitstringNoMaximum results to return (default: 10, max: 100)
--offsetstringNoResults to skip (default: 0)
sazabi mcp search --json  # List connected namespaces
sazabi mcp search "create issue" --json  # Search all connected tools
sazabi mcp search save_issue --namespace linear_abc123 --include-input-schema --json  # Load one exact schema

sazabi mcp execute

Execute one connected MCP tool

sazabi mcp execute <connection-key>/<tool-name> [options]
FlagTypeRequiredDescription
--tokenstringNoOverride token
--api-base-urlstringNoOverride API base URL
--jsonbooleanNoOutput as JSON
--project-idstringNoOverride active project ID
--argumentsstringNoTool arguments as a JSON object
--arguments-filestringNoRead tool arguments from a JSON file or - for stdin
sazabi mcp execute linear_abc123/save_issue --arguments '{"title":"Fix CLI","team":"ENG"}' --json  # Execute with inline arguments
sazabi mcp execute linear_abc123/save_issue --arguments-file issue.json --json  # Execute with file arguments
sazabi mcp execute planetscale_prod/planetscale_execute_read_query --arguments-file - --json  # Read arguments from stdin