"Information on Unreal Engine" matching MCP servers:

Enables AI agents to extract clean LLM-ready markdown and readable articles from web pages, parse metadata, tables, links, feeds, and contact info, audit paywalls, SEO, and XSS, and access these tools via Streamable HTTP or a stdio bridge.

MCP server for Unreal Engine 5, built into the editor: 2,000+ tools that let AI agents like Claude Code create and edit Blueprints, materials, levels, Niagara and animation, with every change read back and verified.

Provides AI agents with 12 real-time tools for search synthesis, grounded research dossiers, claim verification, citation generation, sentiment analysis, expert ranking, timeline creation, and competitive landscape mapping over Streamable HTTP or stdio.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.

Enables AI assistants to query and manage a local Engine DJ library on macOS, including searching tracks by BPM, key, genre, or comments, auditing duplicates and missing files, reading cues and beatgrids, and building playlists or fixing tags when write access is enabled.

On-chain delivery receipts for x402 AI-agent payments on Solana: anchors SHA-256 digests of delivered content to a PDA after settlement; buyers verify proof of delivery offline with zero trust in the seller. Live MCP endpoint + npm bridge.

Prediction stability engine for AI agents. Evaluate model stability, detect ghosts, probe any LLM for instability, monitor fleet drift. 20 tools + 1 resource. Works with Claude, Cursor, VS Code.

Local web search MCP server, formerly mcp-local-rag. Multi-engine deep research with on-device re-ranking. ✨ no API keys ✨

A persistent world your agents share across sessions and models. MCP memory server with semantic memory retrieval, cross-agent handoff, a hosted remote endpoint with OAuth, a free 24-hour room, and an open-source local stdio server.

Enables an AI client to track a watch list of contacts and retrieve only what changed since the last run — departures, new employers, replacements, and new hires after a role closed — each row carrying match evidence, source dates, and ready-to-use outreach payloads. It runs the analysis on Apify using the caller's own provider keys, supports stored or caller-held state, and can push results to a signed webhook.

Enables calculation of the 2025-2028 federal overtime, tips, and senior deductions — applying IRS caps, MAGI phase-outs, and bracket tables — plus eligibility explanations and estimated federal tax savings.

Local MCP tools to create, preview, inspect, verify, and compile PDF documents from HTML/CSS and structured data with Fullbleed. Python/Rust engine, MIT licensed, with document paths confined to a chosen workspace.

Enables B2B lead generation through Apify's Prospect Engine actor, supporting company enrichment, job discovery, contact finding, and full ICP-gated outreach workflows.

A local MCP server that gives AI assistants a long-term memory by capturing sessions verbatim and surfacing relevant context automatically.

Enables AI coding assistants to access documentation, live API tools, and workflow prompts for integrating a game/app backend service into Godot, Unity, and Unreal Engine projects, including auth, leaderboards, cloud saves, remote config, localization, news, gift codes, feedback, logs, crash reporting, email, and admin dashboard management.

Enables AI coding agents to generate ultra-creative, non-overflowing 4:5 vertical carousels with native Chromium rendering, using modular React primitives, strict design rules, and curated creative archetypes.

A provably read-only SQL layer for AI agents (MCP) and weekly reports — over the database behind an ERP (Logo Tiger, Netsis, Mikro). Statement-checking guard, measured against 28 attacks.

Put your game on Steam with your AI assistant: it scans your Unity, Godot or Unreal project, writes and checks your store page against Valve's rules, and fills Steamworks only after you approve.

An MCP server connecting Claude AI with game engine runtimes (Unity & Godot) for automated testing, log filtering, and scene hierarchy inspection.

Production HTTP 402 micropayment web scraper, Llama-3 digest, and Twitter intelligence engine for AI agents on Base L2. Zero API keys, zero subscriptions.

Adaptive Epistemic Triage & Recall Engine (AETRE) — Bayesian Value-of-Information (VOI) and queueing operations engine for academic peer review, grant study sections, and venture capital dealflow.

Universal HTTP 402 Micropayment Protocol & Autonomous Economic Settlement Engine for AI Agents on Base L2.

MCP server (stdio, official Python SDK) exposing a single tool: quantity_execute. Performs dimensional calculation and unit conversion with evidence. Solves silent unit errors in LLM agent chains: 20 m/s × 3 h returns 216 km.

An ultra-rational A2A protocol for zero-token edge pre-filtering and FEP-driven deadlock prevention. Uses Cloudflare Vectorize (384d cosine similarity) with a 24h deposit model, restricting bargaining to a 4-rally limit before forcing HTTP 402 dimension jumps.

MEOK Governance Engine - MCP server providing AI-powered tools and automation by MEOK AI Labs

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Provides AI agents with 200 deterministic micro-services covering code auditing, 3D/robotics, media processing, cryptography, blockchain settlement, AI safety, networking, and math, with automatic x402 USDC micropayments.

Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.