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MCP server for managing iCloud Drive files via the local sync folder. Provides tools for listing, reading, writing, deleting, moving, searching, and getting metadata for files.

Provides curated science and space feeds (RSS/Atom/RDF) with tools to list feeds, read items, and fetch any feed by URL, enabling AI agents to access the latest scientific news.

An MCP server that turns Claude into a Reddit lead-finding agent: search for buying-intent conversations, score them against your product, and read full threads before drafting a reply.

Claw Compactor v6.0 — 50%+ savings through rule-based compression, dictionary encoding, session observation.

This weather MCP implementation, built with Python, provides a simple interface for retrieving weather data. It leverages the httpx library for efficient HTTP requests and integrates with the MCP CLI for easy command-line usage. The project structure includes test files and development requirements, indicating a focus on code quality and maintainability. While the specific weather API is not evident, the implementation offers a straightforward approach to accessing weather information, making it suitable for AI assistants, chatbots, or applications needing to incorporate weather data into their workflows.

MCP server that enables AI agents to redact text, metadata, annotations, and image areas in documents using GroupDocs.Redaction, with support for various document formats and easy integration with Claude, Cursor, and GitHub Copilot.

Provides web search and page fetching capabilities using Ollama's API.

Provides complete data on Brazilian federal executive servers from CPF, including remuneration and employment bonds via the Transparency Portal.

Access recruitment and hiring data from Ashby, an applicant tracking system designed for modern recruiting teams. Wraps the Ashby ATS API to enable queries against jobs, candidates, and hiring pipeline data using user-provided credentials.

AST-based Python obfuscator with reverse stack-trace mapping — obfuscate before shipping and keep production tracebacks AI-debuggable. MCP + VS Code.

Enables browsing, reading, and searching Flatpak documentation files (.rst and .html) through a standardized MCP interface. Provides tools to list, get content, search across documents, and retrieve documentation structure, along with pre-defined prompts for common topics.

MCP System Monitor provides real-time system metrics through a standardized interface, allowing LLMs to access detailed information about CPU, memory, disk, network, host, and process statistics. Built with Go using the gopsutil library, it exposes six specialized tools that retrieve system performance data in structured JSON format. The implementation is designed for cross-platform compatibility (Windows, macOS, Linux) and includes configurable parameters for customizing data retrieval, such as filtering processes by resource usage or viewing per-core CPU statistics. This server enables AI assistants to perform system diagnostics, resource monitoring, and performance analysis without requiring direct system access.

Provides tools for searching and analyzing online business listings on Flippa.com. Supports filtering by business type, revenue, price, and other criteria to evaluate acquisition opportunities without requiring an API key or account.

MCP server for Steam & Steamworks APIs - 25 tools (18 read + 7 write) for store data, player stats, reviews, pricing, achievements, workshop, leaderboards, inventory, and lobbies.

Access your Convo meetings, transcripts, summaries, and action items from any AI assistant.

Read-only MCP server for the Renology 2026 city-level renovation cost dataset. Enables AI assistants to list markets and project types, retrieve cost ranges, compare costs across cities, and access methodology and citation information.

An MCP server that makes project documentation instantly accessible in Claude Code through @ mentions, allowing Claude to understand your codebase's conventions and architecture.

ScraperAPI MCP — wraps ScraperAPI (scraperapi.com), a proxy-based web

Connects AI agents to 2,800+ APIs via x402 micropayments on Base, enabling automated API calls for $0.01 each without signup or API keys.

InfluxDB-v1-MCP is a powerful Model Context Protocol (MCP) interface specifically designed for InfluxDB v1.x, enabling AI assistants to intelligently manage and query time-series databases.