Tclp MCP Server

List TCLP content (clauses, guides) filtered by taxonomy facet=value. Multi-facet filters are combined with AND. Call `taxonomy_facets` first to learn which facet names and slugs exist; using a name not in that list returns a 400. Args: filters: Mapping of facet name to value slug, e.g. `{"sector": "real-estate", "practice_area": "commercial"}`. Each facet may appear at most once. scope: `clause`, `guide`, or `all` (default). limit: Maximum results to return (1–100, default 25). offset: Result offset for paging (default 0). sort: `title`, `date_published_desc`, or `date_modified_desc`. Returns: JSON with "meta" (totals, scope, filters echoed back) and "results" (each hit has `id`, `url`, `title`, `content_type`, dates, and a `facets` map of all taxonomy arrays on the node).

List taxonomy facets and their value slugs across TCLP content. Facets are taxonomy categories like `sector`, `practice_area`, `application`, and `jurisdiction`. Each facet returns the list of slugs that actually appear on the graph, with counts. Use this to discover the vocabulary, then call `taxonomy_content` with chosen slugs. Args: scope: Which labels to include — `clause` (ClauseName only), `guide` (Guide only), or `all` (both, the default). Returns: JSON with "meta" and "facets". Each facet has `name`, `applies_to` (list of Neo4j labels carrying it), and `values` (list of `{slug, count}`, sorted by count desc).

Find TCLP content nodes (clauses, glossary terms) associated with a named concept. Unlike `search`, this performs a deterministic name match against Entity nodes in the knowledge graph rather than a relevance-ranked semantic search. Use it when you have a specific term or concept (e.g. "scope 3 emissions", "net zero") and want to retrieve every clause or glossary entry that explicitly references it. Args: name: The entity or concept name to look up (exact match, case-insensitive). limit: Maximum number of results to return (1–50). include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" and "results" where each hit includes the source content node and the entity names that matched.

Search the TCLP knowledge graph using fusion search (semantic + BM25). Args: query: Free-text search query (max 1000 characters). node_type: Content scope — "tclp" (clauses, glossary terms, guides), "lrsf" (laws, regulations, standards, frameworks), or "all". limit: Maximum number of results to return (1–50). rerank: Whether to apply RRF reranking when combining graph and text results. include_full_text: Include each hit's full body text (Markdown). Off by default — bodies are large; request only when you need the content, and prefer a small `limit` when you do. Returns: JSON with "meta" (totals, timing) and "results" (ranked hits with title, url, content_type, scores, and optionally relationships and full_text).