A.D.A.M. is an intelligent document assistant that combines the power of Any LLM with the Model Control Protocol (MCP) to provide natural language document analysis and management. Built with Python, it offers a sophisticated command-line interface for uploading, processing, and chatting about your documents using advanced AI capabilities.

MCP server for token-efficient large document analysis via the use of REPL state

Multi-agent MCP server providing smart documentation lookup, repository analysis, and web research with relevance-focused filtering

Native Codex plugin plus Claude Code workflows and installer for video analysis, document extraction and cited research

MCP server for Zig — AI-powered code analysis, validation, and documentation with fine-tuned LLM

A comprehensive Model Context Protocol (MCP) Server that provides advanced git analysis and documentation tools, including powerful commit, Excel, XML, YAML and JSON search capabilities. Designed to be used as a Copilot Agent in VS Code for comprehensive repository analysis and documentation generation.

MCP tools and Claude Code workflows for video analysis, cited research, document extraction, knowledge storage, and optional explainer video production.

Hosted MCP tools for Oruk transcription, emotion and speaking-style analysis. Python/TypeScript SDKs and the separate Resonance-2 REST route are documented in the README.

DocuMCP is an intelligent Model Context Protocol (MCP) server that revolutionizes documentation deployment for open-source projects. It provides deep repository analysis, intelligent static site generator recommendations, and automated GitHub Pages deployment workflows.

The unofficial MCP server for Scrivener — connect your novels, screenplays, and manuscripts to Claude, ChatGPT, and any AI assistant. 53 tools: document management, writing analysis, content enhancement, offline semantic search, and character/plot tracking.

Frame Check MCP server: deterministic structural framing analysis for AI-generated documents, with default-on frame-divergence block per FRAME_DIVERGENCE_CONTRACT_v1 c1.0. MCP surface delegates V4.2 judgment to the caller's agent model; zero Frame Check LLM cost per query.

cibo.hk — HK IPO allotment analysis API & MCP server documentation

A sub-harness (both an MCP server and an MCP client). Delegates documentation and source code analysis, as well as interactions with related context-providing MCP servers, to a local or inexpensive OpenAI-compatible LLM. Drastically reduces token usage and context size for coding agents on the top-tier LLM.

A multi-agent NLP system that analyzes, summarizes, and compares insurance policy documents. It enables intelligent document understanding, semantic search, and comparative analysis between Tunisian and international insurance standards

LkSG/CSDDD Supply Chain Due Diligence Compliance u2014 BAFA risk assessment, supplier screening, gap analysis, documentation checklist, and EU CSDDD readiness checks.

Real estate investment analysis for AI agents: deal search across German portals, reproducible yield and financing figures, document extraction and due diligence.

A multi-layered cybersecurity platform combining machine learning, real-time Gmail analysis, and community intelligence to detect phishing across URLs, emails, documents, and messaging platforms.

Streamable HTTP MCP server for searching NPLG Iverieli, reading DSpace metadata, downloading public documents, and rendering PDF pages and tiles as JPEG for visual analysis.

A Model Context Protocol (MCP) server that provides Zig language tooling, code analysis, and documentation access. This server enhances AI capabilities with Zig-specific functionality including code optimization, compute unit estimation, code generation, and best practices recommendations.

MCP server for Tuteliq — 87 tools for child safety, fraud detection, synthetic content forensics, identity verification, grooming, bullying, sextortion, document analysis, and content moderation. Interactive UI widgets for Claude, Cursor, and MCP-compatib

MCP server for NexusBridge — a unified AI API brokerage. Access 200+ AI models and 10 service categories (LLM chat, code generation, image generation, embeddings, web search, document parsing, sentiment analysis, translation, summarization, code execution

MCP server for the AI Patent Search Generator — patent dossiers, prosecution history, Office Action AI analysis, citation/family/CPC lookups, and Google Patents search. Works in Claude Code, Claude Desktop, Cursor, ChatGPT-with-MCP, and any other MCP-compatible client. ## Tools (11) - **dossier** — full patent intelligence: bibliographic, claims, citations, family, classifications, examiner stats. 3 credits fresh; free on 24h cache hit. - **prosecution** — USPTO file-wrapper documents (Office Actions, responses, amendments). Free. - **oa_analyze** — AI analysis of USPTO Office Actions (rejection grounds, cited prior art, suggested response arguments). First 5/application free; 1 credit each thereafter. - **search** — multi-strategy patent search against Google Patents (telescoping / onion-ring / faceted). 1 credit. - **query** — Boolean query generator (manual paste into Google Patents). 1 credit. - **similar** — Google Patents similar-documents ranking. Free. - **citations** — backward + forward citation graph, examiner-cited flagged. Free. - **family** — patent family (continuations, divisionals, foreign counterparts). Free. - **examiner** — name, art unit, allowance rate, average pendency. Free. - **cpc** — CPC classification code lookup. Free. - **balance** — credit + subscription status. Free. Requires an API key minted from the AI Patent Search Generator Chrome extension's Admin tab.

# Metis FCA Handbook AI Harness — MCP Server An MCP (Model Context Protocol) server that integrates the Metis FCA Handbook AI Harness into Claude Desktop and other MCP-compatible agents. **Tool name:** `evaluate_fca_handbook_applicability` Use this tool to analyze FCA Handbook applicability for a product, service, or firm. Returns structured compliance reasoning with verbatim handbook citations. ## Why choose The Metis FCA Handbook AI Harness? - **Efficiency** Multiplies effectiveness of compliance advice. Saves £80+ in token fees per Harness run. - **Deals with "Hard Problem"**, in which LLMs' token incentives prioritise training data so results are unreliable. - **Verbatim citations** Quotes verbatim entries from the FCA Handbook. Other AI systems struggle to do this. - **Matches real-world need** You do not have to start off knowing which sections you are looking for. Carries out structured searches across all 10,000+ FCA Handbook entries. - **Secure Design** Harness compartmentalisation, one-shot structure, and statelessness fits natively with emerging AI agent security standards such as OWASP Top 10 for Agentic Applications 2026. - **AI Accessible** Integrates easily with AI workflows and agents. Your LLM can use it as a tool. ## Design Principles The Harness is built on proven principles: - **Stateless** — Each request is independent; no session coupling - **One-shot** — Complete analysis in a single call; no multi-turn state - **Clear contract** — Explicit input/output schemas for easy integration - **Hosted** — Single canonical source; no version drift or stale data ## Use Cases ### Compliance AI Platforms Embed FCA reasoning as a service within your compliance platform. Users ask natural-language questions; your platform calls the Harness and presents structured reasoning. ### AI Agent Workflows Agents building compliance workflows can include FCA Handbook reasoning as a composed tool—no external API calls, just MCP configuration. ### Compliance Review Automation Integrate into document review or due-diligence pipelines. Automatically screen new rules against FCA applicability. ## For Regulatory Screening FS firms screening MCP servers will find: - **Simple model:** Stateless, no hidden state, no background jobs - **Clear contract:** Explicit input schema, output schema, error modes - **Transparent updates:** Version pinning; no automatic upgrades - **Single point of failure:** If the Harness is down, it is obvious; no cascading config issues - **Audit-friendly:** All calls logged centrally, not distributed

Python CLI and MCP for evidence-driven product research: document citations, research reports, lifecycle management and portable backups | 知微

Local-first code and project-text retrieval, source-backed symbol analysis, caller-controlled web discovery, and MCP for SDK clients

Local C4 architecture editor with Magic flows, docs & API contracts. Open-core Community edition by Quiet Grid Labs.

Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.

Domain-specific MCP tooling for legal document workflows

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

Agent document collaboration: versioned PDF pages/annotations/forms, raster frames, DOCX/PPTX, spreadsheets and CSV/TSV, with checked edits, source provenance, CSL citations and wikilink evidence libraries

Recursive Language Model - Process documents larger than LLM context windows

Structural framing analysis as an MCP server with deterministic detection. The caller's agent runs the judge, so Frame Check bears zero LLM cost per query.

MCP server that gives Claude OCR: read receipts, invoices and scanned PDFs, extract structured fields, and search your scans. Runs locally with Tesseract.

Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.

Open-source docs you zoom through: a C4-style model in YAML, step-by-step flows, visualization for performance stats and FMEA creation

Private, evidence-first document agent with persistent local memory, exact citations, reversible actions, and bounded Nemotron reasoning.

Index maps your code offline: how your repositories depend on each other, what calls what inside a repo, and which docs describe which code, as HTML files you open in a browser.

High-performance MCP server for USPTO Patent File Wrapper API with secure document downloads, metadata access, and context reduction

Generic MCP server for Pinecone Assistant API with AI-powered RAG, strategic multi-search, YAML-configurable domains, token optimization, and cross-MCP integration. Reference implementation: USPTO patent examination (MPEP)

Decision-state diagnostics for agent workflows using probability-simplex PGA.

What if your AI agents could talk to your documents, so that you don't have to repeat yourself? What if they could lookup the right data in your Excel sheets, eBooks or PDFs?

Free, open-source Arabic + English requirements document generator (SRS): process model or live e-service to PDF and DOCX. By Nader Alzghoul (NJ-Burrito)

PineScript v6 MCP Server - 6 tools for docs lookup, code validation, and code generation. 1751 entries, 100% local.

Ever been told to RTFM only to find there's no FM to R? MCP-RTFM is the solution - it helps you CREATE the F*ing Manual that people keep telling everyone to read! Transform your non-existent or unreadable docs into an intelligent, searchable knowledge bas

Akıllı Dosya ve Proje Yönetim MCP Server - AI asistanlarının proje analizi, kod metrikleri, dokümantasyon ve Git işlemlerini yönetebileceği kapsamlı bir Model Context Protocol server

A fact base and lenses for any codebase. Zero-LLM-cost indexing, MCP server for coding agents, BYOK.

Persistent belief graph from document sequences. Extracts entities/claims, resolves duplicates via two-pass entity resolution (alias + cosine similarity), detects contradictions across sources, answers questions with citations. 936 entities from 173 pages using 9 API calls. MCP server for Claude Desktop/Cursor.

Read and edit Excel workbooks with your AI assistant, and know which numbers are calculated, cached or missing.

High-performance MCP server for USPTO Final Petition Decisions API with context reduction and cross-MCP integration

MCP server: gives your AI agent the real sources, public API and KDoc of any Maven/Gradle-published Kotlin or Java library

MCP server that reverse engineers a locked rebuild spec (CLAUDE.md, .claude config, mutation tested tests) from an existing app

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Claude Code plugin that turns your projects into a living architecture graph — scan, explore, and query your codebase as a map.

High-performance MCP server for USPTO Patent Trial and Appeal Board (PTAB) with context reduction, progressive disclosure workflows, and seamless cross-MCP integration

MCP server for validating legal citations against CourtListener's 9M+ opinion database — detects AI-hallucinated citations, name mismatches, and ambiguous reporters with an interactive citation panel.

High-performance MCP server for USPTO Enriched Citation API v3 with AI-powered data extraction, token-saving context reduction, progressive disclosure workflows, and seamless cross-MCP integration

Deterministic navigation maps over code AND markdown for AI agents — one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). map the whole project, read one function or one doc-section, 99% less context. Merges codelens + docslens.

CrawlForge MCP Server - Professional Model Context Protocol server with 31 web scraping, crawling, deep-research, and autonomous-extraction tools. Returns clean Markdown and structured JSON for Claude, Cursor, and any MCP client. Defaults to local Ollama

Analyzes a repository, discovers evidence-backed engineering improvement initiatives, and generates planning documents for them. CLI + MCP server.

Finds the lines in your docs that a code change made wrong, and proves each one, with a fix you approve. Measured on changes planted in 30 real Python projects and on their real history. A command, a GitHub Action, and an MCP server; no AI unless you ask.