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Enables AI assistants to fetch live, dated prices for LLM models and cloud compute instances across providers, compare and recommend models, and estimate monthly costs based on workload-specific token shapes and constraints.

Search and download 3D models from Sketchfab using the Sketchfab API.

Reference MCP server giving coding agents shell access done right: foreground commands with timeouts, background processes with PIDs, live output inspection and graceful termination

MCP server that lets an AI agent read a Salesforce pipeline (opportunities, accounts, contacts) and write back to it safely through a narrow set of guarded tools.

Enables users to play virtual-chip poker games like Texas Hold'em and Zha Jin Hua against bot opponents within Codex, with interactive UI or text commands.

Serves as a lazy-loading proxy for multiple MCP servers to prevent tool schema bloat and reduce context token usage. Exposes 4 lightweight gateway tools that start backend servers on demand rather than loading all schemas at startup.

Enables AI agents to query Polymarket data such as top wallets, live trades, market details, and smart money flows using natural language through MCP tools.

Provides persistent memory (L1/L2/L3 encrypted), web-search savings, and thread memory for AI agents, enabling token savings and context retention across MCP clients.

Enables AI agents to retrieve real-time, trusted-source competitive intelligence from the CaSee platform, offering tools for source search, trend analysis, source aggregation, and statistics with T-Score credibility scoring.

MCP server for Archivarix's YouTube archive search service, enabling AI agents to search over 1.5 billion indexed YouTube videos since 2005, including deleted content. Features full-text search across titles and descriptions, subtitle retrieval, AI-generated summaries, and historical video metadata.

This MCP server provides a simple notification system that allows AI agents to play audio chimes when tasks are completed, built by Pink Pixel using TypeScript and the Model Context Protocol SDK. The implementation offers a single play_notification tool that triggers platform-specific audio playback (using afplay on macOS and start on Windows) with five built-in chime sounds (cosmic, fairy, gentle, pleasant, retro) and supports custom sound files through environment variables. It's designed for scenarios where users want audible feedback when AI assistants finish long-running tasks or reach important milestones, providing a non-intrusive way to stay informed without constantly monitoring chat interfaces.

An MCP server for reading, editing, and creating Hangul Word Processor (.hwpx) files. It enables users to extract text, perform find-and-replace operations, and modify font styles through automated XML patching.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

An MCP client and a retrieval MCP server over a production RAG corpus. Typed responses instead of JSON strings, so a drifting tool schema fails loudly instead of returning a confident wrong answer. 83 tests, 4 ADRs.

This ARM64 browser automation server enables AI assistants to control Chromium browsers on ARM64 devices like Raspberry Pi, addressing the common issue where standard browser automation tools like Puppeteer fail on ARM architecture due to x86_64 binary dependencies. Built specifically for budget AI development setups, it uses system-installed Chromium with optimized launch flags for headless operation, providing tools for navigation, screenshots, JavaScript execution, form interaction, and content extraction. The implementation is particularly valuable for SaaS testing automation, competitive analysis, and web scraping workflows on low-cost ARM64 hardware, democratizing browser automation capabilities that were previously limited to expensive x86_64 development environments.

Enables shopping Ametller Origen online groceries through Claude, allowing catalog browsing, cart management, and order history access, with payment handled directly on the retailer's site.

MCP App that renders 2D molecular structures from SMILES using RDKit.js.

Enables semantic search across multiple AI library documentations to keep coding assistants up-to-date.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

Enables searching and retrieving Czech legal acts from the e-Sbirka database via SPARQL, including metadata and full consolidated text with verifiable citations.