"Document analysis tools for legal documents and evidence" matching MCP servers:

A no-server MCP toolkit that organizes project wikis from Feishu documents, messages, and more, enabling AI clients to answer questions with cited evidence to prevent hallucinations.

Enables analysis of legal document changes by constructing a dependency graph and simulating impact propagation, with risk level assessment.

Enables agents to create, append to, search, validate, withdraw, export, and summarize JSON Lines evidence ledgers through MCP tools, including full, masked, or locator exports and printable HTML summaries.

Enables AI assistants to read and write a self-hosted Gramps Web family tree through the REST API, creating facts with citations attached and auditing unsourced or duplicate data with 83 evidence-disciplined tools. It also exposes legacy GEDCOM exports as a read-only reference layer of untrusted hints, with living-person privacy filtering on by default.

An MCP server providing an append-only, hash-chained evidence ledger for agent actions, where every record is a tamper-evident receipt cryptographically bound to all prior records and persisted as human-readable JSONL local state. It exposes tools to append records, verify chain integrity (pinpointing tampering), query records by actor/action/target/time, and fetch ledger stats—with no update or delete capabilities by design.

Enables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.

A local legal knowledge base construction factory that provides a consultation agent with multi-source retrieval, supporting MCP server for external services.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Private local stdio MCP server for metadata-only discovery, recording, and querying of Markdown and PDF documents.

A lightweight MCP server for intelligent, non-invasive analysis of Obsidian vaults.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

MCP server for persistent project knowledge management, enabling AI assistants to store, search, and reuse project analysis insights with freshness checking and impact analysis.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

Enables AI agents to extract PDF text, search with PDF++ citations, access vault files, manage tags, and run Dataview queries in Obsidian via MCP.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

MCP server that parses aviation accident reports (PDF/DOCX/TXT) and injects their content into extraction prompt templates for knowledge graph construction.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.

Enables searching, reading, and appending change notes in an Obsidian vault through local MCP tools.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables qualitative analysis through a strict TypeDB ontology that verifies evidence quotes and refuses method-breaking changes, while agents use MCP tools to add concepts, themes, dimensions, memos, and checkpoints. Supports append-only event logs for replay, forking, and comparison across staged analysis runs.

Enables 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.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

Enables AI agents to retrieve and explore evidence from 3GPP meeting documents through MCP, including temporal knowledge graph queries, document section navigation, and citation-backed answers.

Extends VS Code Copilot with MCP tools for persistent semantic memory, code indexing and RAG search, sandboxed Python/shell execution, web fetch/search, dynamic tool management via a web UI, and structured multi-step reasoning.

Enables natural language interaction with Obsidian vaults through an MCP server, providing hybrid search, file management, and AI-powered analysis.

Provides MSP support tools (ticket search, draft response, KB search, update) with a deterministic security guardrail that refuses to draft responses for security tickets based on content scanning, even if mislabeled.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.