No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NicholasGoh · MCP Server · ★ 559
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fastapi-mcp-langgraph-template safe to install? View the security audit →
FastAPI MCP LangGraph Template A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more. Visit the Github: [!NOTE] Read the docs with demo videos here. This repo will not contain demo videos. FastAPI MCP LangGraph Template Core Features Technology Stack and Features Planned Features Architecture Inspector Template Setup Reverse Proxy Planned Features Diagrams Monitoring and Observability
| Stars | 559 |
| Forks | 87 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.7913294019778/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-03 |
| Created | 2025-04-16 |
| Platforms | mcp, python |
| Est. Tokens | ~472k |
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fastapi-mcp-langgraph-template is A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.. It is categorized as a MCP Server with 559 GitHub stars.
fastapi-mcp-langgraph-template is primarily written in Python. It covers topics such as compose, fastapi, grafana.
You can find installation instructions and usage details in the fastapi-mcp-langgraph-template GitHub repository at github.com/NicholasGoh/fastapi-mcp-langgraph-template. The project has 559 stars and 87 forks, indicating an active community.
fastapi-mcp-langgraph-template is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fastapi-mcp-langgraph-template on Agent Skills Hub include Construction-Hazard-Detection, YC-Killer, Aix-DB. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: