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LinkedIn MCP Server enables AI assistants to post content directly to LinkedIn through browser automation using Playwright. The implementation connects to a Chrome browser instance running in remote debugging mode, allowing users to authenticate with their LinkedIn credentials and then programmatically create posts with optional image attachments. Built for content creators and social media managers who want to automate their LinkedIn posting workflow without dealing with LinkedIn's API restrictions, it leverages browser automation to interact with LinkedIn's web interface as if a human user were posting manually.

MCP server for GovCon API: six tools over US federal procurement data (SAM.gov opportunities, FPDS contract awards, SAM entities, FFATA subawards, exclusions, solicitation attachment search). Hosted for Claude and ChatGPT, or pipx install for Cursor, Claude Code and any MCP client.

Enables programmatic creation and management of draw.io diagrams through MCP tools. Supports building architecture diagrams, flowcharts, and visualizations with stateless operations that generate VSCode-compatible .drawio.svg files.

Read-only MCP server that allows AI assistants to query and monitor KVM Fleet devices, audit logs, and console sessions through the official REST API.

MCP server for QZone (QQ space) integration, enabling publishing, listing, liking, and commenting on posts through the QzoneUltra daemon and NapCat.

An MCP server that provides a bounded development workflow for ExileAPI plugins, enabling agents to detect compiler references, create linked Git repositories, and read build errors.

Universal MCP server for Mantle yield data, enabling users to fetch health status, dashboard summaries, and detailed opportunity information through natural language.

Enables Claude to interact with HacknPlan project management via the MCP protocol. Provides tools for managing projects, work items, boards, milestones, time logs, design models, and cross-project portfolio views.

A Model Context Protocol (MCP) server implementation for ESP32-CAM that enables integration with a Large Language Model (LLM). The LLM connects using this library to the ESP32-CAM offering remote camera control, LED management, and system monitoring through standardized MCP tools offering AI capabilities.

NASA CMR (Common Metadata Repository) MCP.

Post and manage content on the Moldium blog platform.

Connects to a self-hosted SearXNG instance and extends it with engine targeting for precision searches, multi-page fanout for deep result gathering, and automatic HTML-to-Markdown conversion of retrieved URLs. Designed for workflows that need more than a single search result page.

A Python library to build MCP servers with decorators, auto-generating JSON Schema from type hints and including built-in filesystem and HTTP servers.

An HTTP-based Model Context Protocol server that provides tools and resources for accessing real-time cryptocurrency data from the Binance API. It enables users to fetch prices, analyze market changes, and track activity via a streamable endpoint.

MCP server for AI text detection and humanization via humantext.pro

MCP proxy that bundles flat tool lists into hierarchical subcommand groups, reducing context token usage and improving tool discovery.

Enables real-time pharmacogenomics analysis, including variant clinical significance, drug-gene interactions, and dosing guidelines, by connecting to ClinVar, PharmGKB, gnomAD, and other databases.

Dependency security & health auditing for AI agents with no account or API key required.

This MCP server, developed by Andy Brandt, provides AI assistants like Claude with the ability to access current time information. It offers two key tools: get_time for retrieving local time and timezone data from the user's machine, and get_utc for obtaining UTC time from an NTP server. By bridging AI capabilities with accurate timekeeping, this implementation enables time-aware interactions and calculations. The server is designed for easy integration with the Claude desktop app on both macOS and Windows. It addresses the limitation of AI models lacking inherent time awareness, making it useful for scenarios requiring temporal context, scheduling assistance, or time-based computations in AI-powered conversations and tasks.

A demonstration Model Context Protocol server that provides a configurable 'Hello World' tool with multi-language support and input validation. It supports both local stdio and remote HTTP deployment via Docker, facilitating testing and integration with platforms like Cursor and Manus.