Packages

An MCP server package intended to let an AI agent access Strava activity data by exposing MCP tools/endpoints for querying and retrieving Strava activities (e.g., listing activities, fetching activity details), likely using Strava’s API and an OAuth-based connection.

Unity-focused template for creating AI Model Context Protocol (MCP) tools that integrate with Unity Editor/Runtime, including scaffolding for an MCP plugin tool surface (via annotated C# methods) and helper scripts for packaging/versioning/deployment.

MCP server wrapper for Wolfram|Alpha, exposing Wolfram|Alpha capabilities as MCP tools so AI agents can query for mathematical/scientific answers via the MCP protocol.

Provides an MCP server that exposes WorkOS GitHub-related functionality to AI agents via the Model Context Protocol, enabling tools/actions against GitHub (as supported by the underlying WorkOS GitHub integration).

The xhs-bailian-mcp-server package provides an MCP (Model Context Protocol) server that exposes tools/actions related to the “bailian” (as suggested by the package name) domain for use by MCP-capable AI agents.

ai-mate is an MCP (Model Context Protocol) server intended for Symfony/PHP development, enabling AI assistants to interact with PHP applications via standardized MCP tools. The README positions it as a development tool rather than for production use.

Provides guides and helper scripts to connect a Burp Suite MCP Server to different AI backends (Codex CLI, Gemini CLI, Ollama, LM Studio), including a recommended Caddy reverse proxy setup for MCP over SSE and reusable prompt templates for analyzing real (passively observed) Burp traffic.

clickhouse-server is the server component of ClickHouse, a column-oriented DBMS that provides SQL query processing over large analytical datasets. It supports running as a standalone service with HTTP and native TCP interfaces for clients.

Colab-mcp is a Python MCP server intended to let an MCP-capable agent interact with Google Colab (e.g., to run or manage Colab-related actions). It’s distributed as a CLI script (colab-mcp) and is designed to be launched by an MCP client configuration (mcp.json-style).

Grocy is a self-hosted web application for managing household tasks, shopping, inventory, and related chores (pantry/fridge stock management, meal planning-style workflows, etc.). It typically runs as a server you deploy (often via Docker) and exposes a web UI and underlying HTTP endpoints.

lhci-server runs the server component of Lighthouse CI, providing an HTTP API/UI to receive upload results from Lighthouse CI runners, store them, and serve reports/insights and project history.

Open-source data catalog that helps teams discover and manage data assets across an organization. Ships as a single binary and catalogs databases, APIs, message queues, and data pipelines with full-text search, interactive lineage graphs, and metadata management.

Provides an MCP (Model Context Protocol) server with tools to fetch and analyze Reddit content such as hot threads and detailed post content (including comments) across post types.

A Python command-line security research tool that uses the Shodan API to discover potentially exposed Model Context Protocol (MCP) servers, probes them over HTTP and Server-Sent Events (SSE), verifies MCP protocol compliance, enumerates available tools/capabilities, and writes JSON/CSV/log outputs.

mcpsec is a Python CLI toolchain for security scanning and fuzzing of MCP (Model Context Protocol) servers. It can scan MCP servers via stdio or HTTP, enumerate attack surface, run SAST-like checks (Semgrep rules), and perform runtime fuzzing/generation to find crashes and application-layer vulnerabilities (e.g., SSRF/path traversal/RCE-class indicators), with optional AI-assisted payload generation.

A Java/Spring AI example that provides an MCP server image intended to be run as a local MCP tool for clients (e.g., Claude Desktop or VS Code). The README describes building a Docker image and configuring an MCP client to invoke the server’s tools.

openclaw-superpowers is a plug-and-play skill library for the OpenClaw persistent AI agent runtime. It provides a large set of predefined “skills” (core methodology, OpenClaw-native persistent/cron workflows, and security guardrails) plus companion scripts and an install script that symlinks skills, initializes local state directories, and registers cron jobs. It also describes agent abilities to self-modify by writing new skills during conversation via a create-skill mechanism.

MCP server for integrating with Zendesk via the Model Context Protocol, exposing Zendesk-related capabilities to AI agents.

MCP server package intended to expose Azure pricing-related capabilities to an AI agent via the Model Context Protocol. (Exact methods/behavior and pricing data sources cannot be confirmed from the provided information.)

An MCP server that exposes PolarDB-related operations via an MCP interface, likely leveraging an OpenAPI definition to provide structured actions/tools for agents to call against PolarDB resources.