motley-mcp.yml
SLayer runs as a Model Context Protocol (MCP) server so AI agents (Claude, Cursor, etc.) can discover and query data conversationally. It exposes the same tools across two transports.
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Documentation
Documentation link · transport
Tools
create_datasource— Create a DB connection, test it, and auto-ingest models.list_datasources— List configured datasources (no credentials shown).describe_datasource— Show details, test connection, list schemas/tables.edit_datasource— Edit an existing datasource config.delete_datasource— Remove a datasource config.ingest_datasource_models— Auto-generate models from DB schema with rollup joins.models_summary— Brief summary of all non-hidden models in a datasource.inspect— Single-entity point lookup (datasource/model/column/measure/aggregation/memory); supports batch and collection views.inspect_model— (Deprecated — use inspect) Complete view of a single model.create_model— Create a model from a table/SQL definition or from a query.edit_model— Edit an existing model (upsert columns, measures, aggregations, joins).delete_model— Delete a model entirely.query— Execute a semantic query (measures, dimensions, filters, time_dimensions).query_nested— Execute a multi-stage DAG of named sub-queries.search— Three-channel RRF-fused retrieval over memories and canonical entities.save_memory— Persist a free-form learning tagged with canonical entities or a query.forget_memory— Delete a memory by id (cascade-strips references).
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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