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

An MCP server for Indian legal work that enables case-law research with verified citations, limitation and deadline calculations, legal document drafting, matter tracking, and contract search.

Enables legal research and procedural analysis from verified Swiss legal sources, with tools for case resolution, legal drafting, and multirole argument evaluation.

Enables append-only maintenance of a legal developments tracker stored as CSV, with duplicate checks, dry-run proposals, fingerprint-safe appends, digest views, and transparent candidate scoring.

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.

Official European law, expanding globally: 20M+ documents, 35+ jurisdictions, verifiable citations.

Local document intelligence for AI agents — extract text, detect tables, read metadata, analyze structure, search keywords, and detect language from PDF and DOCX files. No cloud API required, no API key needed.

Document Comparison AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Universal MCP server for extracting text from various document formats including PDF, Excel, Word, CSV, and more, with support for streaming, limits, and markdown conversion.

Parses various document formats (PDF, Word, Excel, PowerPoint) into Markdown content using NiuTrans API, enabling extraction and reading of document text through natural language interactions.

Enables AI agents and MCP clients to heuristically parse multi-column document dumps, aligned spacing, and CSV/TSV input, converting them into clean GitHub Flavored Markdown tables and typed JSON. Runs fully offline on the Python standard library with zero external dependencies, returning deterministic results without LLM round-trips.

Enables AI agents and MCP clients to convert ASCII/OCR text dumps, aligned spacing, and CSV/TSV data into clean GitHub Flavored Markdown tables and typed JSON deterministically.

A persistent document management and research assistant powered by Groq, enabling AI-driven document analysis, professional formatting, and long-term memory across sessions.

Enables reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.

Enables legal research across 3,352 U.S. courts using the CourtListener API, providing access to case search, precedent analysis, judge patterns, citation validation, and federal PACER dockets through natural language queries.

MCP server that enables intelligent analysis of legal spend data across multiple sources (LegalTracker, databases, CSV/Excel files), providing features like spend summaries, vendor performance analysis, and budget comparisons.

An AI-powered MCP server that extracts structured data from Indian identity documents (Aadhaar, Passport, PAN, Driving License) using OCR, enabling Claude Desktop to read and process document images locally.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.