All methods are exposed as MCP tools.
Unified search tool for querying documentation using semantic (vector similarity) or keyword (BM25) search.
MCP Tool: search_docs
{
"results": [
{
"id": 11716,
"content": "CREATE INDEX ...",
"metadata": "{...}", // JSON-encoded metadata
"distance": 0.407 // lower = more relevant
}
]
}{
"results": [
{
"id": 11716,
"content": "CREATE INDEX ...",
"metadata": "{...}", // JSON-encoded metadata
"score": 12.5 // higher = more relevant
}
]
}Retrieves curated skills for common PostgreSQL and TimescaleDB tasks. This tool is disabled when deploying as a claude plugin (which use agent skills directly).
MCP Tool: view_skill
{
"name": "setup-timescaledb-hypertables", // see available skills in tool description
"path": "SKILL.md", // optional, defaults to "SKILL.md"
}{
"name": "setup-timescaledb-hypertables",
"path": "SKILL.md",
"description": "Step-by-step instructions for designing table schemas and setting up TimescaleDB with hypertables, indexes, compression, retention policies, and continuous aggregates.",
"content": "...", // full skill content
}Available Skills: Check the MCP tool description for the current list of available skills or look in the skills directory.
{ "source": "postgres", // required: "postgres", "tiger", or "postgis" "search_type": "semantic", // required: "semantic" or "keyword" "query": "How do I create an index?", // required: search query "version": "17", // required: PostgreSQL version ("14"-"18" or "latest"), ignored for tiger/postgis "limit": 10 // required: maximum results to return }