Packages

Backlog MCP server that exposes Backlog (project management) functionality as an MCP server with tools for reading and, optionally, writing to issues, PRs/comments, wiki pages, documents, shared files, and listing users/status/custom fields.

cachebro provides a local file cache for AI coding agents. It stores file versions in an embedded Turso/SQLite-compatible database, hashes file contents to detect changes, and returns either full content (first read), an 'unchanged' response, a unified diff for updated files, or partial unchanged/updated ranges for offset/limit reads. It can be run as a CLI that exposes an MCP server with caching tools, or used as a TypeScript SDK.

An open-source toolkit that connects AI assistants to civic/public data sources via the Model Context Protocol (MCP). It includes (or wires up) MCP servers for Socrata-based NYC Open Data (e.g., 311, inspections, housing) and Google Data Commons, enabling natural-language querying and generation of analyses/visualizations against live civic datasets.

Graph-based RAG system that parses multi-language codebases using Tree-sitter, builds knowledge graphs in Memgraph, and enables natural language queries about code structure and relationships. Supports parsing 11+ languages, AI-powered Cypher query generation, surgical code editing with AST targeting, shell command execution, and real-time graph updates via file watching. Includes an MCP server for Claude Code integration.

MCP server that enables AI assistants to interact with multiple databases simultaneously through a unified interface. Dynamically generates per-connection tools for querying, executing statements, managing transactions, exploring schemas, and analyzing performance across MySQL, PostgreSQL, SQLite, Oracle, and TimescaleDB.

Transform old technical PDFs (e.g medical interfaces or niche technical documentations) into agent-readable `skill.md` files.

Provides an MCP server for Industrial IoT/SCADA/PLC that unifies MQTT sensors/actuators and Modbus TCP/RTU device operations, with optional time-series storage (InfluxDB) and caching (Redis). Exposes MCP tools via HTTP endpoints using FastAPI (with /docs, /health, /metrics) for agent orchestration (e.g., PolyMCP). Includes a simulation mode for running without external hardware.

Ludus FastMCP is a Python-based Model Context Protocol (MCP) server that automates Ludus cyber range (v1 and v2) management via a large set of MCP tools (190+). It supports range lifecycle tasks (create/configure/deploy/manage), templates and YAML generation, scenario deployment, v2 blueprints, v2 groups, diagnostics/migration (v2), and SIEM/security monitoring integrations.

An MCP (Model Context Protocol) server that provides a single tool to look up authoritative Svelte 5/SvelteKit definitions extracted from TypeScript declarations, with caching and fuzzy matching for identifier queries.

Subcog is a persistent memory system for AI coding assistants. It captures decisions/learned context during coding sessions, stores them in SQLite (default) plus indexing (FTS5) and vector search (usearch HNSW), supports hybrid retrieval (BM25 + vector with RRF fusion), provides a knowledge-graph layer, and exposes an MCP server for agent interoperability. It also offers optional HTTP serving with JWT auth and Claude Code hook integration.

XHS-Downloader extracts and downloads images, videos, and metadata from Xiaohongshu (RedNote/小红书) posts, profiles, and search results, with support for TUI, REST API, MCP server, and browser UserScript interfaces.

An open-source workflow automation platform (Zapier alternative) with 280+ integrations, a visual no-code builder, AI agent capabilities, and MCP server support that exposes all pieces as MCP-compatible tools.

Async video messaging platform API for managing, sharing, and embedding screen recordings and video messages within team workflows.

An open-source platform for building and deploying fully-managed AI agents and long-running workflows in TypeScript, with durable task execution, automatic retries, queues, human-in-the-loop pauses, and full observability.

aelf-skills is a client-agnostic hub for discovering, downloading, bootstrapping, and indexing an “aelf agent skill” ecosystem. It provides a machine-readable skills catalog (skills-catalog.json), a bootstrap.sh CLI for fetching/installing selected skills, and health/security checks plus routing documentation for multiple agent clients.

Agency Swarm is a Python framework for building multi-agent (swarm) applications by defining specialized agents, tool functions (Pydantic-typed), and directional inter-agent communication flows. It is built on top of the OpenAI Agents SDK / Responses API and provides helpers for running demos and persisting thread/state.

Aguara is a local security scanner (CLI + library + Docker) that statically analyzes AI agent skills and MCP server/tool configurations to detect issues such as prompt injection, data exfiltration, credential leaks, and supply-chain/persistence/rug-pull patterns. It supports decoded/obfuscated content scanning, cross-file taint/risk flow analysis within an MCP server directory, and produces terminal/JSON/SARIF/Markdown outputs suitable for CI.

Provides an MCP stdio server that automates AutoCAD LT (Windows) via AutoLISP dispatch using a File IPC backend, and alternatively generates/render DXF headlessly via an ezdxf backend. Exposes consolidated MCP tools for drawing/entity/layer/block/annotation/P&ID/view/system operations, plus an execute_lisp escape hatch (File IPC only).

Starter template for building an MCP Apps (Model Context Protocol) application with a Node.js/Express MCP server and React-based widget resources. Includes an example “echo” tool with Zod input validation, resource/widget registration, UI capability negotiation, inline/PIP/fullscreen display mode support, and local dev/testing tooling (Storybook, Vitest) plus Docker support. Also documents how to expose the MCP endpoint publicly for hosts such as ChatGPT via Pomerium SSH tunnel and how to connect via the host’s connector UI.

An MCP server that provides versioned, hot-reloadable Claude prompt templates (YAML), validation rules ("gates"), reasoning frameworks ("methodologies"), and response styles, plus a workflow/operator syntax to chain steps, run verification loops, and (optionally) hand off mid-chain steps to subagents with shared context.