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

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.

Enables interactive chat with AI models, including document retrieval and command-based prompts via the Model Control Protocol.

Enables AI assistants to create Evidence reports and dashboards by providing tools to query database schema, read documentation, edit pages, and debug code.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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.

Public MCP research for AI finance and trading agents: funding, bank risk and liquidity evidence. Companion SDK: persistent Python MCP sessions and Python/JS source-status streams. Setup: https://beepboop2025.github.io/financial-evidence-skills/distribution/ai-trading-tools.html. No data API key. Keep source dates, rights and gaps. No live quotes or execution.

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.

Enables agents to search and reference trusted, out-of-band ingested source state, run claim-bound document reviews, validate evidence-status proposals against admissibility guards, and build evidence matrices. It keeps proposal, evidence, admissibility, and adjudication separate so agents can propose epistemic statuses without creating the source facts, page locators, provenance, or missingness records that support them.

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.

Enables auditing emails for internal contradictions and reporting detected incoherences with literal textual evidence, without issuing a phishing verdict.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

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.

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.

AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.

Enables MCP-capable AI clients to fetch read-only Microsoft Graph audit evidence for security posture, MFA coverage, stale accounts, and privileged access.

Provides comprehensive tools for searching UK case law, legislation, parliamentary Hansard debates, and HMRC tax guidance. It features a specialized OSCOLA citation parser to extract and resolve legal references directly from text.

Enables local-first, versioned evidence retrieval from papers without loading the whole library into a conversation, with optional Zotero, writing, fixed-commit code, and experiment record integration returning bounded excerpts and page images.

Provides AI assistants with access to Taiwan's public legal data, including court judgments, regulations, and constitutional court interpretations, via 8 MCP tools.

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

FastMCP server for image analysis providing OCR, metadata, and EXIF extraction.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

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

Compiles ISO 20022 readiness findings, remediation diffs, and simulated bank responses into sealed, tamper-evident audit evidence packs with Ed25519 signing and verification.

Enables AI agents to query SOC 2 and ISO 27001 control evidence with server-enforced authorization, including scoped access, column masking, and audit logging.

MCP server for managing product documentation as markdown files. Supports creating, reading, updating, deleting, and searching docs with optional semantic search.

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

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

MCP server for image analysis, providing OCR text extraction, image metadata, and EXIF/GPS data as structured JSON for downstream processing.

Enables clients to inspect local PDFs by searching text, rendering pages, and cropping selected regions at high resolution directly from the source document. It runs locally over stdio without requiring models, embeddings, GPUs, or API keys, and does not modify source PDFs or send network requests.