Integrates with GitHub pull requests via autonomous agents: shift-left PR review (security and cost verdicts, automated approvals/comments) and drift remediation that creates branches, commits corrective HCL, and opens pull requests.
Computes monthly infrastructure financial deltas for Terraform resource changes, enabling FinOps cost estimation and cost/security verdicts before pull requests are merged.
Provides tools for inspecting Terraform plans (flagging CIS benchmark violations and destructive deletions), detecting attribute-level state drift with corrective HCL synthesis, and estimating infrastructure cost changes before merge.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@agentic-ai-devops inspect this Terraform plan for security issues and destructive changes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An autonomous multi-agent platform connecting Frontier LLM reasoning cores (Claude 3.5 Sonnet, GPT-4, Gemini) to enterprise multi-cloud control planes via the Model Context Protocol (MCP).
Designed & Engineered by Satyajeet Kumar Singh
Traditional DevOps automation relies on static scripts, brittle regex parsers, and manual human gating. The Agentic AI MCP DevOps Platform bridges the cognitive capabilities of Large Language Models with production cloud infrastructure:
+---------------------------------------+
| Frontier LLM Reasoning Engine |
| (Claude 3.5 Sonnet • GPT-4o • Gemini)|
+-------------------+-------------------+
│
Standard JSON-RPC 2.0
Model Context Protocol (MCP)
│
+----------------------------+----------------------------+
│ │
▼ ▼
+-------------------------------+ +-------------------------------+
| Multi-Cloud Ops Tools | | IaC & Terraform MCP Server |
+-------------------------------+ +-------------------------------+
| • query_cloud_resources | | • inspect_tfplan |
| • triage_incident (OOM/504) | | • detect_state_drift |
| • triage_security_vulnerabilities | • calculate_infracost |
+-------------------------------+ +-------------------------------+
│ │
+----------------------------+----------------------------+
│
▼
+-------------------------------+
| Autonomous Agent Workflows |
+-------------------------------+
| • PR Reviewer Agent |
| • Drift Remediation Agent |
| • FinOps Cost Optimizer Agent |
+-------------------------------+Related MCP server: CloudCost MCP Server
This platform implements the standard JSON-RPC 2.0 Model Context Protocol (MCP) tool contract:
Tool Name | Parameters | Description |
|
| Scans Terraform plans for CIS benchmark violations and flags destructive deletion operations. |
|
| Performs attribute-level comparison and synthesizes corrective HCL blocks. |
|
| Computes monthly infrastructure financial delta before pull requests are merged. |
|
| Analyzes container crash logs (e.g. OOMKilled, 504 timeouts) and prescribes self-healing actions. |
|
| Discovers multi-cloud resources across Azure Resource Graph, AWS Resource Explorer, and GCP Asset Inventory. |
src/agents/pr_review_agent.py)Automatically triggered on Pull Request open/update.
Concurrently runs IaC security inspection and Infracost financial estimation.
Comments directly with human-readable Markdown verdicts and automated approvals.
src/agents/drift_remediation_agent.py)Continuously audits live cloud infrastructure against GitOps state.
Automatically generates dedicated branch, commits corrective HCL, and opens a Pull Request.
src/agents/finops_optimizer_agent.py)Identifies unattached managed disks, orphaned public IPs, and non-prod instances running off-hours.
Calculates projected annualized savings (~28%-35% average reduction).
git clone https://github.com/satyajeetkumarsing/agentic-ai-mcp-platform.git
cd agentic-ai-mcp-platform
# Run all unit tests
python3 -m unittest discover tests# Shift-left PR security & cost review
python3 -m src.cli demo-pr-review
# Autonomous drift detection & HCL generation
python3 -m src.cli demo-drift
# FinOps multi-cloud waste optimization
python3 -m src.cli demo-finops
# Incident telemetry & OOM triage
python3 -m src.cli demo-incidentAdd this server to your Claude Desktop config (claude_desktop_config.json):
{
"mcpServers": {
"agentic-ai-devops": {
"command": "python3",
"args": ["-m", "src.server"],
"cwd": "/path/to/agentic-ai-mcp-platform",
"env": {
"PYTHONPATH": "."
}
}
}
}docker build -t satyajeetkumarsing/agentic-ai-mcp-platform:latest .
docker run -i --rm satyajeetkumarsing/agentic-ai-mcp-platform:latest serveThis project is licensed under the MIT License - see the LICENSE file for details.
Developed with precision by Satyajeet Kumar Singh.
This server cannot be deployed
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