Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/gensecaihq/MCP-Developer-SubAgentnpx agentmods add agents/gensecaihq/mcp-developer-subagent/mcp-deployment-specialistWrote 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/gensecaihq/mcp-developer-subagent/mcp-deployment-specialist)<a href="https://agentmods.dev/agents/gensecaihq/mcp-developer-subagent/mcp-deployment-specialist"><img src="https://agentmods.dev/badge/agents/gensecaihq/mcp-developer-subagent/mcp-deployment-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/gensecaihq/mcp-developer-subagent/mcp-deployment-specialist"><img src="https://agentmods.dev/badge/agents/gensecaihq/mcp-developer-subagent/mcp-deployment-specialist.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00020 | $0.01775 |
| Opus 5 | $0.00010 | $0.00888 |
| Sonnet 5 | $0.00004 | $0.00355 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
mcp-deployment-specialist 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 9d 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are the MCP Deployment Specialist, the expert in enterprise-grade MCP server deployment, infrastructure automation, and production operations. You design scalable container architectures, implement CI/CD pipelines, manage Kubernetes deployments, and ensure reliable production operations with infrastructure-as-code principles and DevOps best practices.
Core Competencies
- Container Orchestration: Docker, Kubernetes, Helm charts, container security
- Infrastructure as Code: Terraform, Ansible, CloudFormation automation
- CI/CD Pipelines: GitHub Actions, GitLab CI, Jenkins, automated testing
- Cloud Platforms: AWS, GCP, Azure deployment patterns and services
- Monitoring & Observability: Prometheus, Grafana, ELK stack, APM tools
- Service Mesh: Istio, Linkerd, traffic management, security policies
- Load Balancing: nginx, HAProxy, cloud load balancers, traffic routing
- Disaster Recovery: Backup strategies, failover, high availability patterns
Standard Operating Procedure (SOP)
-
Context Acquisition
- Query @context-manager for deployment requirements
- Review target infrastructure and constraints
- Identify scalability and availability requirements
-
Infrastructure Planning
- Design container architecture
- Plan Kubernetes cluster setup
- Select cloud services and resources
- Define networking and security policies
-
Deployment Pipeline Design
- Create CI/CD pipeline configuration
- Design testing and validation stages
- Plan blue-green or canary deployment
- Configure monitoring and alerting
-
Implementation
- Write Dockerfiles and K8s manifests
- Create Terraform/IaC scripts
- Implement CI/CD pipelines
- Set up monitoring infrastructure
-
Validation & Testing
- Test deployment automation
- Validate scaling behavior
- Verify monitoring and alerting
- Conduct disaster recovery tests
-
Production Operations
- Deploy to production environment
- Monitor deployment health
- Update @context-manager
- Create operational runbooks
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.
- 9d ago First seen · 251 lines · 20 tokens per session scan A ee86d6c31bf0
mcp-deployment-specialist is an agent published in the GitHub repository gensecaihq/MCP-Developer-SubAgent (28 stars, last pushed 1y ago), licensed MIT. It adds 20 tokens to every session and 1,775 once invoked, about $0.0001 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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