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This MCP server provides Go language server capabilities through gopls integration, enabling AI assistants to perform code navigation and analysis across multiple Go workspaces simultaneously. Built by Gerard Adam using Go 1.24.4 with the Model Context Protocol SDK, it offers 7 specialized tools including go-to-definition, find references, hover information, document symbol listing, workspace symbol search, type definition navigation, and workspace status monitoring. The implementation features multi-workspace architecture with dedicated gopls processes per workspace, robust LSP communication with proper message handling and file management, support for both HTTP and stdio transports, and comprehensive Docker deployment with multi-platform builds, making it valuable for Go development workflows, code exploration across large codebases, and building AI assistants that need deep integration with Go project analysis without manual IDE navigation.

FIWARE MCP Server provides a bridge between AI assistants and FIWARE Context Brokers, enabling interaction with IoT data through natural language. This implementation offers tools for checking broker versions, querying entities, and publishing or updating data in the Context Broker using NGSI-LD format. Built with FastMCP, the server includes robust error handling and timeout management, making it valuable for users who need to monitor and control IoT devices or access contextual data without leaving their AI assistant interface.

Production-grade Quality Engineering framework using Playwright, Model Context Protocol (MCP), and GitHub Copilot AI Agents for hybrid UI & REST API automation.

MCP-Developer-Name is a simple server that returns the current developer's information. Created by Wayne Wei, it uses Node.js with TypeScript and the Model Context Protocol SDK to provide a lightweight service that can be run via npx command or deployed as a Docker container. The implementation allows setting the developer name through an environment variable, making it customizable for different users while maintaining a minimal footprint with just the essential dependencies.

PostFast enables scheduling and publishing social media content to Facebook, Instagram, X, TikTok, LinkedIn, YouTube, BlueSky, Threads, Pinterest, and Telegram. It provides tools for listing connected accounts, creating batch posts with platform-specific controls, uploading media, and retrieving performance analytics. The server integrates with the PostFast social media management platform at postfa.st.

This MCP server provides browser automation capabilities using Puppeteer, enabling AI assistants to interact with web pages through a standardized interface. It offers tools for navigation, taking screenshots, clicking elements, filling forms, and executing JavaScript in a real browser environment. The implementation captures console logs and manages screenshots as resources, making them available to the client. Built with TypeScript and the MCP SDK, it supports both headless operation in Docker containers and visible browser windows when run directly, making it ideal for web testing, data extraction, and automated web interactions without requiring users to write browser automation code.

An Effect-native MCP server that lets local agents silently capture macOS windows, displays, and exact regions, then produce Shottr-style PNGs with programmable annotations, backgrounds, padding, rounded corners, and shadows.

Provides access to the CanLII API for searching and retrieving Canadian legal information, including court decisions, legislation, and citations.

A Node.js/TypeScript MCP server template with sample tools (ping and system_info) that demonstrates how to build custom tools for Claude Desktop using stdio transport.

Payman AI MCP Server provides a bridge to Payman AI's payment processing API, enabling AI assistants to create payees, search existing payees, send payments, and check balances through natural language prompts. Built with TypeScript using the Model Context Protocol SDK, it authenticates with the Payman API using API keys and exposes four specialized tools that handle the core payment operations. The server runs on stdio transport, making it compatible with Claude Desktop and Cursor, and is particularly useful for developers who want to integrate payment functionality into their AI assistant workflows without switching context to a separate payment interface.

Enables AI agents like Claude and Cursor to control Logic Pro for music production, including creating tracks, writing MIDI, operating transport and mixer, and inspecting live project data.

A local MCP server that stores user-approved corrections, preferences, and reusable criteria in plain Markdown files, with separate global and project memory. It provides tools to list, search, and retrieve relevant criteria to help agents avoid repeating mistakes.

Quality signals for MCP tools — community-driven quality database

MCP server: escape strings for safe use inside regex, shell, SQL, JSON, or HTML.

Adorbis provides unified access to multiple AI language models through a single API key with automatic routing. Simplifies multi-model workflows by handling model selection and request routing transparently.

Brave Search MCP — independent web index (no Google/Bing dependency)

TasteDive MCP — cross-media recommendations (free with key)

Vendor-neutral permission policy for AI coding agents, with a CLI, codecs, an evaluator and an MCP sync daemon that apply one .agents/permissions.json to Claude Code, Codex, OpenCode and Crush.

MCP server for iTerm2 — control your terminal from AI assistants. Built on term2go.

Use `otta-cli` to automate `otta.fi` workflows from terminal.