"A system for legal document analysis and contract management" matching MCP servers:

A Model Context Protocol server that provides document analysis capabilities to LLM applications, including extraction, chunking, summarization, and semantic search for PDF, DOCX, and plaintext documents.

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.

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.

A remotely callable MCP server for US legal research that provides tools to search, retrieve, and analyze US case law from the CourtListener API, enabling agents to build evidence packs from primary sources without generating legal content.

Enables AI assistants to search and analyze German legal texts using vector embeddings and semantic search.

A Model Context Protocol server for legal document search and retrieval, powered by Azure Cosmos DB and Voyage AI embeddings, exposing 12 tools for semantic search, keyword search, Bates number lookup, claim-specific queries, and statutory citation search over a corpus of vectorized legal documents.

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

Enables US case law search, citation parsing, practice management via Clio, and federal court filings through PACER.

Provides offline access to the French legal corpus (Legifrance/DILA) with full-text search, verbatim article retrieval, and citation grounding to prevent hallucinations.

Provides unified access to German federal and state legislation, court decisions, and European Union legal databases for comprehensive legal research. It enables users to search and retrieve full-text laws, parliamentary documents, and judicial rulings directly through the Model Context Protocol.

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.

Local-first knowledge system for reasoning agents, exposing facts, evidence, documents, retrieval, and audit history through a thin stdio MCP server.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Enables AI agents to search, deep-read, and build knowledge bases from Markdown, PDF, DOCX, and PPTX documents via MCP tools for retrieval, document navigation, and ingestion.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Semantic and exact retrieval over 22M Taiwan court judgments with built-in citation guardrails — bundles carry a read-whitelist so downstream models cannot cite judgments whose reasoning was never read. Also provides exact lookup of administrative interpretations with lifecycle status (repealed / superseded / unverified).

A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.

MCP server for legal research that enables searching US case law via CourtListener, retrieving full opinion text, and looking up legal definitions from Cornell's Wex. Students can connect via a remote connector in Claude.ai to cite real, free legal sources.