Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/sandraschi/plexmcp/mcp-server-developernpx skills add sandraschi/plexmcp --skill mcp-server-developergit clone --depth 1 https://github.com/sandraschi/plexmcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00040 | $0.03116 |
| Opus 5 | $0.00020 | $0.01558 |
| Sonnet 5 | $0.00008 | $0.00623 |
| Haiku 4.5 | $0.00004 | $0.00312 |
Grade A, and why
mcp-server-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to mcp-server-architect — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Architect
Overview
Master the complete MCP server development lifecycle with FastMCP 2.14.3, covering architecture design, implementation best practices, ecosystem integration, and production deployment across Claude Desktop, Cursor, Windsurf, and all agentic IDEs.
When to Use This Skill
Activate for:
- Designing MCP server architecture and tool organization
- Implementing FastMCP 2.14.3 features (sampling, cooperative patterns)
- Following Anthropic MCP standards and best practices
- Integrating with MCPB packaging and distribution
- Publishing to Glama.ai, LobeHub, and MCP marketplaces
- Supporting multiple IDEs (Claude, Cursor, Windsurf, Zed)
- Troubleshooting MCP server deployment and compatibility
Core Capabilities
🏗️ Architecture & Design
- FastMCP 2.14.3 Architecture: Latest framework features and patterns
- Tool Design Patterns: Portmanteau tools, cooperative patterns, sampling workflows
- Security & Reliability: Error handling, authentication, rate limiting
- Performance Optimization: Async patterns, connection pooling, caching
🛠️ Development Workflow
- MCPB Packaging: Build, distribution, and installation standards
- IDE Integration: Claude Desktop, Cursor, Windsurf, Zed compatibility
- Testing Strategies: Unit tests, integration tests, MCP protocol testing
- Debugging Tools: MCP Inspector, logging, error diagnostics
🌐 Ecosystem Integration
- Marketplace Publishing: Glama.ai, LobeHub, skillsmp.com submission
- Community Standards: Following established MCP patterns and conventions
- Cross-Platform Support: Windows, macOS, Linux deployment
- Version Management: Semantic versioning, backward compatibility
📊 Production Operations
- Monitoring & Observability: Health checks, metrics, logging
- Scaling Strategies: Connection handling, resource management
- Update Mechanisms: Auto-updates, migration strategies
- Support & Maintenance: User feedback, bug fixes, feature requests
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _toc.md 807 B
- modules/ai-ide-development.md 3.4 KB
- modules/architecture-and-standards.md 5.0 KB
- modules/core-guidance.md 23 KB
- modules/development-workflow.md 3.6 KB
- modules/distribution-and-installation.md 5.2 KB
- modules/ecosystem-and-publishing.md 2.8 KB
- modules/innovation-playbook.md 3.2 KB
- modules/known-gaps.md 830 B
- modules/mcp-history-and-outlook.md 5.3 KB
- modules/minimal-mcp-server.md 7.1 KB
- modules/release-readiness.md 2.7 KB
- modules/research-checklist.md 11 KB
- modules/tooling-strategy.md 3.4 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 434 lines · 40 tokens per session scan A cfcf152fc92f
mcp-server-architect is a skill published in the GitHub repository sandraschi/plexmcp (2 stars, last pushed 15d ago), licensed MIT. It adds 40 tokens to every session and 3,116 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mcp-server-architect, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
blender-expert
Expert Blender 3D modeling, animation, rendering, and pipeline automation. Use for any Blender-related task from simple primitives to complex procedural workflows.
autonomous-modeling
Use this skill to autonomously design and model complex 3D objects in Blender. Perfect for generating chassis, robots, and environment props from natural language.
pipeline-automation
Automate 3D asset pipelines, including batch optimization, material baking, and exports for platforms like Unity and VRChat.
blender-mcp
Blender 3D automation via FastMCP — modeling, animation, rendering, scene management, materials, and more.
discord-moderation
Moderation workflow for Discord guilds. Covers ban/kick/timeout operations, audit log review, ban list management, and role-based access control.
discord-rag
Retrieval-Augmented Generation over Discord message history. Ingest channel messages into a local LanceDB vector database, then search semantically — find messages about a topic even when the exact words don't match.