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mcp-starter is a secure, starter framework for building MCP servers with JWT-based authentication, multi-tenant enforcement, and schema validation. Built with Node.js and Docker

A local MCP server that parses codebases into semantic chunks, indexes them in SQLite with vector embeddings, and exposes MCP tools for LLM agents to query.

Enables interaction with the DorkFi lending protocol on Voi and Algorand, supporting market discovery, position queries, liquidation scanning, and transaction preparation without signing or broadcasting.

STRING protein-protein interaction networks across ~12k organisms

Enables querying batch status, traceability, and compliance through natural language by connecting SYD to AI assistants via the Model Context Protocol.

Exposes Sway window manager commands as native tools for Claude Code, enabling window management, workspace navigation, and display configuration through natural language.

MCP server for Bill4Time providing API coverage for legal billing and time tracking, enabling natural language interaction with clients, projects, time entries, invoices, payments, and more from Claude Desktop.

Publish websites from AI agents using Revdoku buckets.

JSONPlaceholder MCP — wraps JSONPlaceholder fake REST API (free, no auth)

A Model Context Protocol server that enables AI assistants to interact with iTerm2 terminals, allowing creation and management of terminal sessions, command execution, and reading terminal output.

Bridges AI assistants with native macOS functionality through the Model Context Protocol (MCP).

Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.

MCP-compatible server that gives AI agents access to alternative sports data across 30+ leagues — odds, events, probabilities, settlement, and futures for prediction markets, DFS platforms, and sportsbooks.

A FastMCP-powered server for programmatically creating, editing, and rendering PowerPoint (PPTX) presentations with features for slide creation, content insertion, and PNG rendering.

This MCP server, developed by Artem Moskvin, provides a persistent environment for executing Python code and shell commands within AI conversations. Built with Python and leveraging tools from Anthropic's computer-use-demo, it offers a String Replace Editor for file manipulation and a Bash tool for running shell commands. The implementation stands out by providing a stateful workspace that persists across interactions, enabling complex multi-step tasks. It's particularly useful for developers and system administrators who need to perform file operations, run scripts, or manage systems through AI-assisted workflows, allowing for seamless integration of coding and system management tasks into conversational AI interfaces.

Curated Korean AEC expertise for AI agents — codes, practice, and the reasoning between them.

Exposes hash-anchored file edits to MCP-compatible AI coding agents, enabling safe read and write operations with stale edit detection.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

An MCP server for the Unsplash API that enables searching, downloading, and inserting high-quality images with automatic photographer attribution into local projects.

Lingo.dev MCP server enables AI assistants to translate content across multiple languages through the Model Context Protocol. Built by the Lingo.dev team, it provides a 'translate' tool that leverages advanced language models to handle app localization, website content, and other text data. The implementation can be run via npx command with an API key from the Lingo.dev platform, making it accessible from various AI tools including Cursor, Claude desktop, and Cline for VS Code. This integration is particularly valuable for developers and content creators who need to translate materials without leaving their AI assistant workflow.