MCP servers and skills: search, filter by where they run, and compare.
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, Gi
PythonApache-2.0★ 17No key
PythonGPL-3.0★ 1Few starsNo key
A lightweight, powerful, and flexible workflow engine that executes tasks defined in YAML configuration files.
PythonMIT★ 4Few starsNo key
Local-first, multi-agent development and security engine with parallel swarm execution. Optimized for low-parameter models. Every action cryptographically signed.
PythonMIT★ 5No key
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
PythonMIT★ 28No key
Parallel and sequential task-tree runner with matrix expansion and effects plugins.
PythonMIT★ 5No key
GNS3 MCP Server - Model Context Protocol server for AI assisted GNS3 network simulation
PythonMIT★ 15No key
A mcp server that enables Claude Code to spawn child Claude Code sessions for parallel task execution.
PythonMIT★ 6No key
PythonMITFew starsNo key
A powerful Model Context Protocol (MCP) server offering a broad set of practical tools across multiple categories — built with FastMCP.一款强大的模型上下文协议（MCP）服务器，提供覆盖多个类别的丰富实用工具——基于 FastMCP 构建。
PythonMIT★ 4Few starsNo key
MCP server for Keshro. Exposes plans, tasks, and project state as MCP tools for any MCP-compatible coding agent.
PythonMITFew starsNo key
Spec-Driven Development Framework - Developer tooling for AI-assisted development, 15,500+ LOC, 168 tests, MCP server integration
PythonMIT★ 1Few starsNo key
Open-source AI code review engine + unified quality CLI orchestrating 15+ linters. CLI, GitHub Action, and MCP server.
PythonMIT★ 1Few starsNo key
PythonMIT★ 1Few starsNo key
Talk2YourData MCP is a production-ready AI orchestrator that enables natural language querying of DHIS2 health data.
PythonMIT★ 1Few starsNo key
Develop, Test, and Benchmark Agentic Workflows before they hit production.
PythonApache-2.0★ 4Few starsNo key
Build AI software architecture with 6 specialist agents, 15 modes, and parallel planning from idea to infrastructure
PythonMITFew starsNo key
PythonMIT★ 1Few starsNo key
Self-hosted multi-agent orchestration for autonomous software development — LLM-driven DAG planning, agent memory, self-learning, impact analysis, MCP/A2A integration
PythonApache-2.0★ 2Few starsNo key
ARCHON — Your Frontier AI Architect. 6 autonomous specialist agents audit your codebase in parallel, combining RAG + live web research to deliver complete Architecture Review Packages with ADRs, IaC s
PythonMIT★ 1Few starsNo key
Code-first Python framework for AI agents: LLM tool calling, structured outputs with Pydantic, multi-agent orchestration, pause/resume workflows, and MCP tools. Works with OpenAI, Anthropic, DeepSeek,
PythonMITFew starsNo key
Multi-model orchestrator-worker MCP extension for Goose. VRAM-aware model hot-swapping with specialized worker roles.
PythonMIT★ 1Few starsNo key
PythonMIT★ 1Few starsNo key
Who stands behind it
