Borrowing it
Nothing to install: this file belongs to vishnu2kmohan/mcp-server-langgraph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vishnu2kmohan/mcp-server-langgraph/main/.claude/commands/deploy.mdgit clone --depth 1 https://github.com/vishnu2kmohan/mcp-server-langgraphWrote 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/commands/vishnu2kmohan/mcp-server-langgraph/deploy)<a href="https://agentmods.dev/commands/vishnu2kmohan/mcp-server-langgraph/deploy"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/deploy/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/commands/vishnu2kmohan/mcp-server-langgraph/deploy"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/deploy.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 | $0.00018 | $0.03751 |
| Opus 5.5 | $0.00007 | $0.01500 |
| Sonnet 5.5 | $0.00004 | $0.00750 |
| Haiku 4.5 | $0.00002 | $0.00375 |
Grade A, and why
deploy scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.langgraph.com/v1/deployments \ How it starts
The opening of the file, as written. The whole thing — 542 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unified Deployment Command
You are tasked with deploying the mcp-server-langgraph application to various targets. This command provides a unified interface for deploying to Kubernetes, GKE, Cloud Run, Helm, and Kustomize.
Deployment Context
Available Targets:
- Kubernetes (kubectl + Kustomize): GCP, Azure, AWS overlays
- GKE Staging: Google Kubernetes Engine (preview-gke overlay)
- Cloud Run: Google Cloud Run serverless
- Helm: Kubernetes package manager with dependencies
- Kustomize Overlays: dev, staging, production
- LangGraph Platform: LangGraph Cloud deployment
Deployment Structure:
deployments/
├── base/ # Base Kubernetes manifests
├── cloudrun/ # Cloud Run deployment
├── helm/ # Helm charts
├── kubernetes/ # K8s overlays (GCP, Azure, AWS)
├── overlays/ # Kustomize overlays (dev, staging, prod)
├── langgraph-platform/ # LangGraph Cloud
└── kong/ # Kong API Gateway
Your Task
Step 1: Gather Deployment Information
Ask the user using the AskUserQuestion tool:
Question 1: What is your deployment target?
- Header: "Target"
- Options:
- Kubernetes (GCP): Deploy to GKE or GCP Kubernetes
- Kubernetes (Azure): Deploy to AKS
- Kubernetes (AWS): Deploy to EKS
- GKE Staging: Staging environment on GKE
- Cloud Run: Google Cloud Run serverless
- Helm: Package manager deployment
- Kustomize Overlay: Dev/Staging/Production overlay
Question 2: What environment?
- Header: "Environment"
- Options:
- dev: Development environment
- staging: Staging environment
- production: Production environment
Question 3: Deployment mode?
- Header: "Mode"
- Options:
- Full Deploy: Complete deployment with all dependencies
- App Only: Deploy only the application (skip dependencies)
- Dry Run: Show what would be deployed (no actual deployment)
- Validate Only: Validate manifests without deploying
Step 2: Pre-Deployment Validation
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.
- 1mo ago First seen · 542 lines · 18 tokens per session scan A 95e22d053559
deploy is a command published in the GitHub repository vishnu2kmohan/mcp-server-langgraph (4 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 3,751 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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