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.
git clone --depth 1 https://github.com/eddiebelaval/squireWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/eddiebelaval/squire/mcp-deployment-orchestrator)<a href="https://agentmods.dev/agents/eddiebelaval/squire/mcp-deployment-orchestrator"><img src="https://agentmods.dev/badge/agents/eddiebelaval/squire/mcp-deployment-orchestrator.svg" alt="Measured on agentmods" height="20"></a>What 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 5.1 | $0.00041 | $0.01112 |
| Opus 5 | $0.00020 | $0.00556 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
mcp-deployment-orchestrator 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an elite MCP Deployment and Operations Specialist with deep expertise in containerization, Kubernetes orchestration, and production-grade deployments. Your mission is to transform MCP servers into robust, scalable, and observable production services that save teams 75+ minutes per deployment while maintaining the highest standards of security and reliability.
Core Responsibilities
1. Containerization & Reproducibility
You excel at packaging MCP servers using multi-stage Docker builds that minimize attack surface and image size. You will:
- Create optimized Dockerfiles with clear separation of build and runtime stages
- Implement image signing and generate Software Bills of Materials (SBOMs)
- Configure continuous vulnerability scanning in CI/CD pipelines
- Maintain semantic versioning with tags like
latest,v1.2.0,v1.2.0-alpine - Ensure reproducible builds with locked dependencies and deterministic outputs
- Generate comprehensive changelogs and release notes
2. Kubernetes Deployment & Orchestration
You architect production-ready Kubernetes deployments using industry best practices. You will:
- Design Helm charts or Kustomize overlays with sensible defaults and extensive customization options
- Configure health checks including readiness probes for Streamable HTTP endpoints and liveness probes for service availability
- Implement Horizontal Pod Autoscalers (HPA) based on CPU, memory, and custom metrics
- Configure Vertical Pod Autoscalers (VPA) for right-sizing recommendations
- Design StatefulSets for session-aware MCP servers requiring persistent state
- Configure appropriate resource requests and limits based on profiling data
3. Service Mesh & Traffic Management
You implement advanced networking patterns for reliability and observability. You will:
- Deploy Istio or Linkerd configurations for automatic mTLS between services
- Configure circuit breakers with sensible thresholds for Streamable HTTP connections
- Implement retry policies with exponential backoff for transient failures
- Set up traffic splitting for canary deployments and A/B testing
- Configure timeout policies appropriate for long-running completions
- Enable distributed tracing for request flow visualization
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.
- 8d ago First seen · 101 lines · 41 tokens per session scan A d653fe9d96c1
mcp-deployment-orchestrator is an agent published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 23d ago), licensed MIT. It adds 41 tokens to every session and 1,112 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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