Packages

[Marketplace](https://marketplace.visualstudio.com/items?itemName=acomagu.vscode-as-mcp-server)

MCP server for web search and content extraction with multiple URL support and memory optimizations

world-intel-mcp is an MCP (Model Context Protocol) server and companion CLI/dashboard/collector for pulling and analyzing publicly available global intelligence across 30+ domains (markets, FX, bonds, SEC filings, conflict/security, military/aviation, geospatial datasets, news, cyber threats, etc.). It exposes many MCP tools (100+ per README) and supports semantic retrieval using a Qdrant vector store.

<!-- mcp-name: io.github.asklokesh/xero-mcp-server -->

A Model Context Protocol (MCP) server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.

[](https://www.python.org/downloads/release/python-3130/)

A design reference implementation for building compliant, modern financial REST APIs using ASP.NET Core 10, including an MCP server layer that exposes API tools to AI assistants like Claude and GitHub Copilot.

An API gateway platform that mediates between applications/AI agents and external APIs. Provides traffic visibility, policy enforcement, rate limiting, retries, circuit breakers, and cost optimization. Lunar MCPX aggregates multiple MCP servers into a single gateway with unified access control.

mcp-ppt is an MCP server that lets an agent create and modify PowerPoint (.pptx) presentations through natural-language-driven tool calls. It supports creating presentations, adding slide types (title, content, section divider, image, table), exporting/saving outputs, and generating SVG-to-image slides.

Provides a Python Model Context Protocol (MCP) server that lets AI assistants search and retrieve Stack Overflow content (questions/answers) and perform related helpers like searching by query or error text, fetching a question by ID, and analyzing stack traces. It wraps Stack Exchange API access and includes configurable rate limiting.

Unreal Engine Code Analyzer MCP server that lets an MCP-capable AI assistant analyze C++ Unreal Engine (or custom C++ codebases) using Tree-sitter parsing. It provides tools for class analysis, hierarchy mapping, code search, reference finding, subsystem analysis, and Unreal best-practice/pattern detection, plus an internal documentation query/search capability.

Zammad-MCP is an MCP (Model Context Protocol) server that exposes Zammad helpdesk capabilities to AI assistants via tools for managing tickets, users, organizations, groups/system lists, and attachments (including listing, downloading as base64, and deleting attachments). It supports both stdio and an HTTP transport mode for remote MCP deployments.

Gamified habit and task tracking app with a free REST API for creating habits, dailies, and to-dos, tracking their completion, and integrating with the game mechanics (XP, gold, HP system).

Twilio's cloud-based email delivery platform for sending transactional and marketing emails at scale with delivery tracking, templates, and analytics.

trueline-mcp is an MCP plugin for AI coding agents that performs hash-verified, targeted file reads and edits. It reduces token usage by using AST-based outlines and range reads/search, and prevents silent corruption by requiring content hashes and rejecting edits when the target content or line ranges don't match what was read.

BizGigz provides two [Model Context Protocol](https://modelcontextprotocol.io/) (MCP) servers that allow AI agents to interact with the BizGigz platform programmatically.

MCP server that enables AI agents to deploy applications to Google Cloud Run. Provides tools to deploy file contents or local folders, list and inspect Cloud Run services, retrieve service logs, list GCP projects, and create new projects. Supports local and remote (on Cloud Run itself) deployment modes.

[danubeai.com](https://danubeai.com)

devtap captures stdout/stderr from local build/dev commands, stores pending output per AI adapter, and exposes those captured build errors to AI coding tools via an MCP-compatible stdio server (or via a CLI skill fallback). It can also fan out output to multiple agents and supports cross-machine workflows using an optional GreptimeDB-backed session store.

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