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The Chancery Lane Project

by The Chancery Lane Project

Overview

The Chancery Lane Project (TCLP) Knowledge Graph MCP is a connector that gives AI assistants like Claude searchable access to TCLP's knowledge graph: a curated body of climate-aligned contract clauses, glossary terms, and practical guides. Think of it as a Swiss Army knife of TCLP tools — search, explore, and understand the taxonomy — all from inside the assistant you already use. It is read-only: the connector searches and returns content, and never changes anything. It won't replace a lawyer, or the experience and judgement you bring. But it clears the boilerplate and the initial drafting: surfacing relevant clauses, comparing and benchmarking content you want to make more sustainable, and helping you spot where there might be greenwashing risk or where an obligation to cut emissions lacks teeth — so you can spend your time on the work that needs you.

Tools

entity_lookup

Claude
Find TCLP content (clauses, glossary terms, guides) 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. Each hit's "references" lists the instruments it cites: pass a reference's work_id to get_legal_resource for details. A reference's edge (governs, references, describes) says how the content relates to the instrument; it is not a statement of the instrument's legal effect. If meta.degraded contains "lrsf", references could not be loaded: do not conclude that a hit cites no instruments.

taxonomy_content

Claude
List TCLP content (clauses, guides) or legal resources 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 (ClauseName only), guide (Guide only), legal_resource (laws, regulations, standards and frameworks; facets jurisdiction and sector only), or all (clauses and guides, the 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). content_type is clause, guide or legal_resource, the same values that search returns.

taxonomy_facets

Claude
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), legal_resource (laws, regulations, standards and frameworks; facets jurisdiction and sector only), or all (clauses and guides, 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).

App Stats

6

Tools

Claude

Platforms

Works with

Claude

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