Horus Flow Intelligence

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Grade and percentile for any prompt. No API key needed. - optimize_prompt: $0.025 USDC. Returns optimized prompt with full dimension breakdown. - compare_models: $1.25 USDC. Side-by-side scoring across multiple models. HTTP API (x402-native on Base): - /api/score/free: Free. Grade and percentile, no payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/score/compare: $1.25 USDC. Multi-model side-by-side scoring. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt.

A Serper MCP Server

MantleKit Launch Planner helps founders, freelancers, and agencies turn a plain-English SaaS idea into a launch-ready MantleKit setup plan. It recommends the best tier, theme, feature set, install path, and next steps using MantleKit’s real product structure, pricing, themes, and setup flow.

Location services, directions, and place details

Search, retrieve, and verify structured entity data for businesses on the Nordax AI Entity Network. Provides AI systems and agents with machine-readable business profiles, JSON-LD structured data, and entity verification status for over 360,000 businesses.

Extract structured JSON from video, images, and PDFs using local LLMs (Ollama, LM Studio, oMLX) or via OpenRouter. Runs fully offline.

Convert URLs to PDF, screenshot, or markdown — and convert document and image files — directly from Claude Code,Cursor, Windsurf, and Claude Desktop

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Plan Swiss train journeys from your AI assistant. Live SBB schedules with delays, prices in CHF with Halbtax / GA discounts, one-click booking on sbb.ch. Opens directly in the SBB Mobile app on phones.

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due. Built as a voice-first tutor (LiveKit + Deepgram + ElevenLabs); the MCP surface exposes the same primitives the voice agent uses internally, so your agent gets production-grade grading, STT-aware answer parsing, and the same FSRS scheduler that powers the consumer app. Three use cases: 1. "Quiz me on X." Call quiz_me(topic) — a composite tool that builds the deck and starts the quiz in one step. Then loop submit_answer → end_quiz. Grading is tier-1 exact match → phonetic fuzz → short LLM fallback (the same pipeline that ships in the voice product). 2. Study from a YouTube lecture. create_deck_from_youtube pulls the transcript, clusters it into concepts, and generates cards proportional to the video length. Poll get_job_status, then run the quiz loop. 3. Daily spaced-repetition review. get_study_recommendations returns exactly the cards due under the user's FSRS schedule, prioritised across all decks. Quizlar is the scheduler of record — your agent executes the plan instead of reinventing one each session. Auth: Bearer token (sk-qz-<32 chars>) for headless installs, or full OAuth 2.1 / DCR / PKCE for one-click clients (Smithery, Claude Connector). Mint keys at https://quizlar.app/settings/api-keys. 22 tools total. Voice and text equal-status. Education-first.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Web content fetching and conversion for efficient LLM usage

QueueSim is a free MCP server that gives Claude, Cursor, and any MCP-speaking AI the ability to run real discrete event queueing simulations. Nine tools cover direct M/M/c, four preset scenarios (call center, ER, coffee shop, single server), staffing recommendations, scenario comparisons, theory explainers, and result interpretation. By ChiAha — 35 years of Discrete Event Simulation.

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira and more. Built by the team behind GitLens, the Git tool that 48 million developers chose, from first-time contributors to enterprise teams at Netflix and Adobe.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Independent verification for the AI agent economy. C2PA-signed reviews of AI agents with structured Laddoo Scores. 9 MCP tools: trust_check, find_similar_agents, get_scorecard, request_quick_audit, verify_claim, compare_agents, find_trusted, report_review_issue, submit_agent.

Secure file operations with configurable access controls

Lightweight MCP server for providing user prompts defined in Markdown with argument support.

Bridge between Ableton Live and AI models. Inspect tracks, analyze audio (LUFS, spectrograms), and control mixing parameters in real-time via MCP.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Real-time gold price API + MCP server. 8 tools: get_spot_price, list_commodities, get_metadata, get_historical, search_news, search_docs, get_prediction_market_view, get_prediction_market_arb. Pyth + WGC + CME + Stooq sources, prediction-market view layered on top. Free tier available; Pro tier ($50/mo) for futures + multi-asset (silver, copper). MCP available on every tier, no paywall on AI agent integration.

Local-first memory firewall and MCP server for AI agents. Audrey gives coding agents recall, memory capsules, preflight checks, reflexes, validation, tool-trace learning, contradiction handling, and SQLite/sqlite-vec storage.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Agent-first skill marketplace MCP server. AI agents discover, install, and share reusable skills across 7 platforms (Claude, Cursor, Windsurf, Cline, VSCode, Copilot, OpenAI) via MCP protocol. 15 tools including skill search, download, upload, and agent discovery.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.