"Legal document templates and contract drafting resources" matching MCP servers:

MCP server for first-pass legal contract review. It loads txt/docx/pdf contracts, detects standard clauses, flags heuristic risks, summarizes, and compares agreements.

Local-first MCP server that generates court-ready pleadings for Bombay High Court and Maharashtra tribunals, using fill-in templates, bench-aware formatting, and a multi-agent drafting pipeline.

Enables LLMs to ingest and analyze legal agreements, compute risk scores, and monitor non-compliant clauses through MCP tools like ingest, fetch_contracts, and run_analysis.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Verifies legal citations by fetching the exact, in-force wording of cited articles from official PL and EU legal sources, preventing hallucination by returning verbatim text.

Enables Claude Desktop and Claude Code users to get AI-powered legal risk classifications for small business decisions, returning structured GREEN/YELLOW/RED verdicts with statute citations and compliant alternatives.

MCP server for AI-driven document creation, enabling generation of PowerPoint decks with consistent design themes and auto-generated images via ComfyUI.

Enables developers to enforce versioned data contracts for MCP tool schemas, with additive-only evolution checked in CI, SHA-256 pinning against rug pulls, and signed handles instead of protocol sessions.

A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.

Provides AI agents with multi-format document indexing, hybrid dense and sparse search with reranking, and relational SQL querying over extracted tables.

A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.

A multi-format MCP server that enables reading and generating Office, PDF, text, EPUB, and presentation documents. It provides unified tools for document processing and creation through AI assistants.

Enables deterministic research of Korean tax-law issues by retrieving and scoring official statutory evidence from law.go.kr and other legal sources, with citation verification and provenance, without deciding legal conclusions.

Connects AI assistants to Chilean legal sources, enabling citation of official legal texts, search of doctrine, jurisprudence, and rulings.

Exposes 55 forensic tools over the Model Context Protocol so agents can query Chilean statutes, jurisprudence, administrative dicta and doctrine from official state sources such as BCN, PJUD, CGR and DT, while running locally for confidential casework. It also supports citation-validated drafting, deadline and docket monitoring, judgment deconstruction, OCR dossier compilation and legal knowledge-graph analysis for civil-law practice, teaching and research.

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables AI assistants to query Taiwan's legal databases including court judgments, regulations, constitutional interpretations, and engineering committee letters, with automatic updates and offline caching.