"MTR" matching MCP servers:

MCP server for the Monei API that gives AI agents access to wallets, transfers, crypto sends, swaps, offramp, and bill payments through natural language.

Provides AI assistants with 69 tools, 19 prompts, and 21 resources for deep access to Magic: The Gathering, including card data, combos, draft analytics, Commander metagame, competitive constructed, sideboard strategy, deck building, and rules engine, working with any MCP client.

Provides read-only access to Quran data — reciters, surahs, full-text search, ayah retrieval, prayer times, live radio stations, and Hijri dates — so AI agents can answer Islamic content queries. Runs locally via stdio or remotely over stateless HTTP for Claude, ChatGPT, and other MCP clients.

Enables MCP clients like Claude to build and tune Magic: The Gathering decks using live card data — Scryfall search and lookups, decklist parsing and analysis (legality, mana curve, roles, price), Commander Spellbook combo detection, and EDHREC recommendations. Supports Commander-focused tasks such as finding combos, checking card prices, and surfacing new high-synergy cards by theme or budget.

Provides Model Context Protocol tools for interacting with eToro's public API endpoints, allowing users to fetch portfolios, look up instrument details, and search for instruments while handling CORS restrictions.

Enables LLM agents to compile, deploy, backtest, and analyze MetaTrader 4/5 MQL sources without touching the MetaTrader UI, leveraging the build pipeline.

Enables text translation between different languages using the Lingvanex Translator API. Supports integration with Claude Desktop for natural language translation requests.

Enables AI-driven batch refactoring of Movable Type content via the MT Data API using natural language instructions. It provides a secure workflow featuring automated backups, visual diff reports, and rollback capabilities for safe HTML transformations.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

A self-hosted MCP server for building a reusable AI-video reference library. It stores named Elements as structured reference images and provides them to MCP-compatible agents via @tags.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Provides DNS and network-reconnaissance tools that let agents run lookups for records, reverse DNS, ping, passive subdomain discovery, shared nameservers, geolocation, reverse IP, ASN, HTTP headers, subnet arithmetic and page links, plus key-gated WHOIS, MTR and traceroute. Responses are parsed into structured JSON with verbatim raw text, and it runs either through a hosted gateway or as a local stdio server.

Enables AI assistants to create, manage, and analyze Google Forms with all question types, sections, quiz mode, and Google Drive/Sheets integration.

Enables AI assistants to discover, search, and interact with REST APIs by parsing OpenAPI/Swagger specifications with intelligent fuzzy search across endpoints, supporting both local and remote API sources.

Multi-backend AI vision for MCP agents. Analyze images, screenshots, and documents using local Ollama models or cloud APIs like OpenAI, Google Gemini, and OpenRouter.

An MCP server for Jira Data Center that enables searching, analyzing, and managing Jira through its REST API, with permission policy, preview-before-change, audit trail, and reporting tools.

Connects any MCP-compatible AI assistant to a student's Moscow Technological Institute portal (lms.mti.moscow) over stdio or HTTP. Enables reading schedules, courses, assignments, grades, notifications, messages, curriculum and finance data, and safely submitting coursework with dry-run confirmation.

Bridges multiple lyrics providers (LRCLIB, Genius, Musixmatch, Melon) into a single toolchain accessible via MCP, HTTP, or CLI.

Enables AI agents to drive a real Chromium browser over MCP using genuine mouse, keyboard, and wheel input, with accessibility snapshots, diffs, network logs, forked sessions, and replayable traces for bug bounty hunting.

Enables interaction with MetaTrader 5 for market data, technical analysis, Fibonacci calculations, and trading via MCP clients such as Claude.