Packages

pine-mcp-server is a local MCP server (Python) that exposes tools for managing Pine AI assistant sessions and task execution. It supports authentication via Pine access token/user id or via an email-based code flow, and provides MCP tools for creating/listing/getting/deleting sessions, sending conversation messages/forms/location responses, starting/stopping tasks, uploading/deleting attachments, and handling call reminders/social sharing.

reprompt-cli (re:prompt) is a local-first CLI tool to scan and analyze prompts generated in AI coding tools. It provides a prompt dashboard, prompt scoring (research-calibrated), conversation distillation/compression, privacy checks for sensitive content exposure, and optional integrations such as a browser extension and an MCP server for certain tools. It claims analysis runs locally with no LLM calls/network requests for the scoring flows.

The microsoft/skills repository provides a curated catalog of “agent skills” (copy/installable templates) and related assets (custom agents/AGENTS.md templates and MCP configurations) aimed at AI coding agents working with Azure SDKs and Microsoft AI Foundry. It includes a “skills.sh” installer/wizard, plus a “mcp-builder” skill to help create MCP servers for LLM tool integration.

Provides a local, read-only Model Context Protocol (MCP) server that exposes Snapchat Ads data to AI clients by wrapping a CData JDBC Driver connection as MCP tools (get tables, get columns, run SELECT queries).

Provides a Spring Boot implementation of an MCP (Model Context Protocol) server exposing crypto/news-related tools (search/get latest news, token tracking, sentiment analysis) over HTTP (JSON-RPC) and SSE transports, with SQLite persistence and Caffeine caching.

TUUI is a desktop “local AI playground” client built around the Model Context Protocol (MCP). It can connect to different LLM backends (including hosted APIs) and manage MCP servers to provide tools/prompts/resources and related MCP client features. It also supports discovery/registry and (via configuration) running local or remote MCP servers (e.g., Cloudflare mcp-remote).

zeromcp is a minimal, zero-dependency (stdlib-only) Python implementation of the Model Context Protocol (MCP) that lets you expose typed Python functions as MCP tools/resources/prompts, and serve them over HTTP/SSE or over stdio.

adb-tui is a Go-based Android debugging terminal UI (TUI) and an MCP server that exposes broad Android Debug Bridge (ADB) functionality as AI-agent tools (stdio and HTTP/SSE transports). It also provides a scriptable CLI for common ADB operations (devices, shell, screenshot, install, and starting MCP).

Provides a local, read-only Model Context Protocol (MCP) server that exposes Databricks data through CData’s JDBC driver as MCP tools (e.g., get_tables, get_columns, run_query) for LLM clients like Claude Desktop.

An MCP server that connects to Garmin Connect (via the python-garminconnect library) and exposes fitness/health data and related operations as a large set of MCP tools for MCP-compatible clients (e.g., Claude Desktop). Includes an auth CLI to pre-authenticate and persist OAuth tokens for MFA and subsequent use.

Provides a read-only MCP (Model Context Protocol) server that exposes IBM DB2 data to local AI clients via CData JDBC Driver. It runs as a stdio-based MCP server and offers tools to list tables/columns and execute SQL SELECT queries against DB2 without requiring end users to write SQL.

knowledge-mcp is a Python MCP server plus CLI for creating, managing, and querying local knowledge bases backed by LightRAG (hybrid vector + knowledge graph retrieval). Users configure an embedding/LLM provider (e.g., OpenAI), ingest documents into per-KB directories, and query the resulting index via an MCP (FastMCP) interface for use by MCP-capable AI clients.

Provides a read-only MCP (Model Context Protocol) server that exposes LDAP data via a CData JDBC Driver as MCP tools, enabling an MCP-capable client (e.g., Claude Desktop) to discover tables/columns and run SQL SELECT queries against LDAP data (no SQL required in typical usage).

mcp-hub is a local (or self-hosted) management and routing server for Model Context Protocol (MCP). It centralizes lifecycle management of multiple MCP servers (STDIO for local processes and streamable-http/SSE for remote) and exposes a unified MCP endpoint (/mcp) plus a management REST API (/api/*) and event stream (/api/events) for monitoring status and capability changes.

NetBox is an open-source infrastructure resource planning (IPAM/DCIM) web application for managing data center and network assets such as racks, devices, circuits, IP addresses, and related operational metadata.

AIO Sandbox is an all-in-one Docker-based sandbox for AI agents that exposes browser automation (VNC/CDP plus MCP tools), shell execution, file read/write/list/search operations, Jupyter code execution, and an MCP hub. It also provides a web-based VSCode Server and integrates pre-configured MCP servers (browser, file, shell, markitdown) running within the same container with a shared filesystem.

ssh-mcp is a local MCP (Model Context Protocol) server that connects to a remote Linux/Windows host over SSH and exposes tools to run remote shell commands (exec and sudo-exec) from an MCP client.

cdpilot is a CLI for local browser automation using Chrome DevTools Protocol (CDP), offering many browser-control commands (navigation, clicking, typing, screenshots/PDF, console/network/diagnostics, network throttling/proxy, request interception, device emulation, geolocation, cookies/storage, tabs, etc.). It also advertises an MCP server/tool mode so AI agents can invoke the CLI. It launches an isolated browser profile/session locally and communicates with the browser over local CDP endpoints (127.0.0.1 by default).

chatgpt-mcp is an MCP (Model Context Protocol) server for macOS that lets MCP-compatible AI assistants send prompts to the ChatGPT desktop app and retrieve responses. It uses Python/FastMCP and automates interaction with the local desktop app (and notes limited language support).

Kilntainers is an MCP server that provides LLM agents isolated, ephemeral Linux-like execution sandboxes for running shell commands via a single MCP tool (sandbox_exec). It supports multiple backend runtimes including local OCI containers (Docker/Podman), cloud micro-VM sandboxes (Modal/E2B), and WebAssembly-based sandboxes (BusyBox/WASM).