CloudBrain MCP Servers

TalkOps MCP Servers

A suite of Model Context Protocol (MCP) servers for DevOps tools and technologies, enabling AI assistants and automation to interact with modern infrastructure and deployment technologies.

This repository serves as the central hub and MCP registry for all MCP servers built to support a wide range of DevOps tools and workflows. Each MCP server provides a standardized interface for AI agents and automation platforms to interact with specific tools, services, or platforms, making it easier to integrate, automate, and extend DevOps operations across diverse environments.

• Kubernetes Package Management: For managing Kubernetes workloads, the Helm MCP Server enables AI-driven Helm chart operations and best practices.
• CI/CD, Build & Release: Dedicated MCP servers (e.g., ArgoCD MCP Server, Argo Rollout MCP Server, Jenkins MCP Server) provide automation and orchestration for continuous integration, delivery, and deployment pipelines.
• Cloud Orchestration: Dedicated MCP Servers like Terraform MCP Server provide comprehensive infrastructure as code management with secure command execution, semantic document search, and intelligent document ingestion for AWS, Azure, Google Cloud, and more.
• Integration & Traffic: Dedicated MCP Servers like Traefik MCP Server enables AI-driven edge routing, weighted canary traffic, traffic mirroring, NGINX-to-Traefik migration, and instant middleware protections (rate limit, circuit breaker).
• Observability & Monitoring: For monitoring and observability, specialized MCP servers are available for Prometheus, Alertmanager, Loki, Tempo, and OpenTelemetry, enabling deep, cross-pillar diagnostics across metrics, logs, traces, and pipelines.

The vision for TalkOps MCP Servers is to offer a modular, extensible, and unified platform where each DevOps domain—whether infrastructure as code, CI/CD, cloud orchestration, or observability—can be managed through a dedicated MCP server. This approach empowers AI agents and automation tools to deliver intelligent, context-aware DevOps workflows, regardless of the underlying technology stack.

Table of Contents

• TalkOps MCP Servers
  • Table of Contents
  • Available MCP Servers
    • 📦 Kubernetes Package Management
    • 🚀 CI/CD & GitOps
    • 📡 Integration & Traffic
    • 🏗️ Cloud Orchestration & Infrastructure
    • 🔗 Agent Discovery & Registry
  • Contributing
  • License
  • Support

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Installation

Every TalkOps MCP server can be installed in three ways:

Method	Command	Best for
pip	pip install talkops-<server-name>	Quick local setup
uv	uv pip install talkops-<server-name>	Fast, modern Python
uvx	uvx talkops-<server-name>	Run without installing
Docker	docker run talkopsai/<server-name>:latest	Production / HTTP mode

After installation, each server provides a CLI command (e.g., prometheus-mcp-server) that runs in stdio mode by default or HTTP mode with MCP_TRANSPORT=http.

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Available MCP Servers

Each table lists MCP servers by DevOps domain. Use Quick Install for the recommended setup (Docker preferred; CLI if no Docker), README for full documentation, and Config for MCP client configuration in that server's README.

📦 Kubernetes Package Management

Server Name	Description	Quick Install	README	Config	Video
Helm MCP Server	Search charts, install/upgrade/rollback releases, validate manifests, monitor deployments. Full Helm lifecycle with dry-run and multi-cluster support.	pip install talkops-helm-mcp-server or docker run -p 8765:8765 -v ~/.kube/config:/app/.kube/config:ro talkopsai/helm-mcp-server:latest	README	Config	▶ Watch

🚀 CI/CD & GitOps

Server Name	Description	Quick Install	README	Config	Video
ArgoCD MCP Server	Manage ArgoCD applications, sync deployments, onboard repositories, create projects, debug with guided workflows. GitOps with credential isolation.	pip install talkops-argocd-mcp-server or docker run -p 8770:8770 -e ARGOCD_SERVER_URL=... -e ARGOCD_AUTH_TOKEN=... -e MCP_ALLOW_WRITE=true talkopsai/argocd-mcp-server:latest	README	Config	▶ Overview ▶ Demo
Argo Rollout MCP Server	Convert K8s Deployments to Argo Rollouts, orchestrate canary/blue-green deployments, promote/pause/abort, integrate AnalysisTemplates. Zero-YAML onboarding with built-in playbooks.	pip install talkops-argo-rollout-mcp-server or docker run -p 8768:8768 -v ~/.kube:/app/.kube:ro -e K8S_KUBECONFIG=/app/.kube/config talkopsai/argo-rollout-mcp-server:latest	README	Config	▶ Quick Walk ▶ Migration ▶ Canary ▶ Blue-Green ▶ A/B Testing
Kargo MCP Server	Continuous promotion orchestration for Kubernetes with Kargo. Manage stages, promotions, freight, and warehouses.	docker run talkopsai/kargo-mcp-server:latest	README	Config	—

📊 Observability & Monitoring

Server Name	Description	Quick Install	README	Config	Video
Prometheus MCP Server	AI-native Prometheus observability — query metrics, manage alerting rules, analyze cardinality, deploy exporters, configure ServiceMonitors and Probes.	pip install talkops-prometheus-mcp-server or docker run -p 8767:8767 talkopsai/prometheus-mcp-server:latest	README	Config	—
Alertmanager MCP Server	AI-native alert management — list/silence/route alerts, audit routing, manage silences with safety guardrails.	pip install talkops-alertmanager-mcp-server or docker run -p 8769:8769 talkopsai/alertmanager-mcp-server:latest	README	Config	—
Loki MCP Server	AI-native log analysis — explore, query, and analyze logs with LogQL query construction, cardinality-aware schema exploration, and guardrails.	pip install talkops-loki-mcp-server or docker run -p 8770:8770 talkopsai/loki-mcp-server:latest	README	Config	—
Tempo MCP Server	AI-native distributed tracing — search, correlate, and summarize traces with TraceQL, RED metrics analysis, and service topology mapping.	pip install talkops-tempo-mcp-server or docker run -p 8768:8768 talkopsai/tempo-mcp-server:latest	README	Config	—
OpenTelemetry MCP Server	AI-native OpenTelemetry pipelines — discover, provision, instrument, validate, and govern OTel on K8s with cardinality control and sampling optimization.	pip install talkops-opentelemetry-mcp-server or docker run -p 8771:8771 talkopsai/opentelemetry-mcp-server:latest	README	Config	—

📡 Integration & Traffic

Server Name	Description	Quick Install	README	Config	Video
Traefik MCP Server	Manage K8s traffic via Traefik: weighted canary routing, traffic mirroring, NGINX-to-Traefik migration, rate limit and circuit breaker middlewares. Works with Argo Rollouts for progressive delivery.	pip install talkops-traefik-mcp-server or docker run -p 8769:8769 -v ~/.kube/config:/app/.kube/config:ro talkopsai/traefik-mcp-server:latest	README	Config	—

🏗️ Cloud Orchestration & Infrastructure

Server Name	Description	Quick Install	README	Config	Video
Terraform MCP Server	Execute Terraform commands, semantic doc search via Neo4j, document ingestion. Multi-provider AI (OpenAI, Anthropic, Ollama).	cd src/terraform-mcp-server && uv pip install -e . && uv run agents-mcp-server	README	Config	—

🔗 Agent Discovery & Registry

Server Name	Description	Quick Install	README	Config	Video
Agents Central Registry	Discovery hub for Google A2A agents and MCP servers. Natural language queries, capability matching, real-time registry updates.	cd src/agents-mcp-server && uv pip install -e . && uv run -m agents_mcp_server	README	Config	—

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Contributing

Contributions are welcome! Please open an issue or pull request on the project repository.

License

This project is licensed under the Apache-2.0 License.

📞 Support

• Open an issue on GitHub
• Join our Discord server
• See each server's README for documentation and guides