legal-intake-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables local, on-device legal document analysis including clause extraction, risk flagging, compliance checking, and clause-level version comparison without sending documents externally.106 npm1MIT
- FlicenseNot gradedqualityBmaintenanceEnables MCP clients to resolve legal contract clause cross-references and build defined-term dependency graphs, flagging circular references and substituting statutory definitions. It also parses document layouts and complex financial/legal tables, returning structured matrices and audit telemetry with zero external dependencies.8-
- FlicenseNot gradedqualityDmaintenanceEnables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.-
- FlicenseBqualityAmaintenanceEnables local, offline document extraction and manipulation—PDF first but also HTML, DOCX, XLSX, PPTX, EML, EPUB, Markdown, and plain text—through tools for probing, locating, extracting, converting, assembling, OCR, protecting, and redacting documents, with nothing leaving the machine.7-

EVIDIQ Clauseofficial
AlicenseNot gradedqualityBmaintenanceDecodes agreements and policy documents into plain language with verified citations, risk flags, obligation calendars, and comparisons, running in TEE-attested enclaves and producing cryptographically sealed, anchored reports.MIT- FlicenseNot gradedqualityAmaintenanceEnables contract analysis by resolving cross-references between legal clauses and analyzing defined-term graphs to detect circular references, audit formulas, and substitute statutory definitions.7-
TDQS
Scored across 6 tools
Each tool has a clearly distinct stage in the intake pipeline: load, segment, extract dates, extract parties, summarize, and search clauses. Although segment_clauses and find_clauses both involve clauses, one is structural segmentation and the other is semantic retrieval of actual wording, so there is no real ambiguity.
Five tools follow a clean verb_noun snake_case pattern (load_document, segment_clauses, extract_dates, extract_parties, find_clauses). document_summary breaks the verb pattern and reads as a noun, which is a minor deviation but still readable and consistent in style.
Six tools is a well-scoped set for a legal contract intake server. It covers ingestion, structural segmentation, date extraction, party extraction, summarization, and semantic clause retrieval without redundancy or unnecessary bloat.
The surface covers the full intake pipeline: load and normalize the document, segment clauses, extract dates and parties, build a structured summary, and retrieve the actual wording of relevant clauses. There are no obvious dead ends or missing operations that would prevent an agent from completing a contract intake workflow.