Available Agents and MCP Servers
Autonomous AI agents and standardized tool protocols built specifically for production cloud infrastructure.
🤖Available Agents
OpsCode Agent
Open-source terminal AI coding agent for DevOps, SRE, and Platform Engineers. Features custom subagents, extensible plugin system, human-in-the-loop approval gates, autonomous rubric self-grading, and 20+ LLM providers.
View Documentation →Kubernetes Agent
Multi-domain lifecycle automation (k8s-autopilot) — Helm chart generation, active cluster operations, ArgoCD onboarding, observability setup, and cluster diagnostics. Powered by the Deep Agent pattern with safety gates.
View Documentation →CI-Copilot
Multi-agent framework that generates, modifies, and debugs CI/CD pipelines through conversation. Scans repositories for context, infers CI intent, validates security policies, and renders production-ready GitHub Actions YAML.
View Documentation →AWS Orchestrator
Autonomous multi-agent system with 7+ specialized sub-agents that generates enterprise-grade AWS Terraform modules. Features deep research analysis, A2A protocol integration, and compliance validation.
View Documentation →SRE Agent
Incident commander and cross-agent coordination layer. Orchestrates triage across K8s, cloud, and monitoring agents. Executes runbooks, tracks SLO/error budgets, and conducts post-incident analysis.
View Documentation →🔌Available MCP Servers (10)
OpenTelemetry MCP Server
Kubernetes observability automation — intent-driven collector provisioning, polyglot auto-instrumentation, processor ordering validation, and SpanMetrics cardinality control. 19 tools + 9 resources.
View Documentation →Loki MCP Server
LogQL query construction, structural pattern discovery, JSON/logfmt field analysis, and production-safe query guardrails. 9 tools + 8 resources for full log lifecycle control.
View Documentation →Tempo MCP Server
TraceQL searching, critical path summarization, RED metrics analysis, cross-pillar pivots (logs/metrics to traces), and service dependency graphs. 16 tools + 11 resources.
View Documentation →Prometheus MCP Server
Full Prometheus lifecycle management — safe PromQL execution with counter enforcement, exporter deployment (19 exporters), rule authoring, TSDB FinOps, and multi-backend support. 28 tools + 14 resources.
View Documentation →Alertmanager MCP Server
Alert triage, silence lifecycle management with safety guardrails, routing introspection and simulation, governance audit trails, and notification pipeline testing. 14 tools + 11 resources.
View Documentation →Helm MCP Server
Full Helm chart lifecycle management — repository operations, release management, values configuration, and rollback capabilities. 18 tools for comprehensive Helm operations.
View Documentation →ArgoCD MCP Server
GitOps-powered continuous deployment — application sync, health monitoring, rollback support, and multi-cluster management. 29 tools for complete ArgoCD control.
View Documentation →Argo Rollout MCP Server
Progressive delivery lifecycle for Kubernetes — convert Deployments to Rollouts, orchestrate canary and blue-green deployments, promote or abort rollouts, and integrate Prometheus analysis.
View Documentation →
Traefik MCP Server
AI-driven Kubernetes edge traffic management — weighted canary routing, middleware generation, traffic mirroring, TCP routing, and automated NGINX-to-Traefik migrations. 11 tools + 12 resources.
View Documentation →Terraform MCP Server
Secure Infrastructure as Code operations — semantic document search, intelligent ingestion, and enterprise-grade execution. Multi-provider AI support with Neo4j integration.
View Documentation →Use Cases
How modern engineering teams deploy TalkOps multi-agent workflows across the software delivery lifecycle.
Terminal AI & DevOps Coding
Accelerate IaC authoring, refactoring, and CI/CD pipelines directly from your CLI.
- Generate: Produce production-grade Terraform, Helm, and GitHub Actions YAML.
- Grade: Autonomous rubric self-evaluation against infrastructure best practices.
- Extend: Customize domain behavior with specialized subagents and plugin toolkits.
Kubernetes Lifecycle & GitOps
Autonomous cluster operations, Helm packaging, and zero-downtime rollouts.
- Manage: Handle pod lifecycles, configuration drifts, and version upgrades.
- Sync: Declarative GitOps synchronization with ArgoCD and Argo Rollouts.
- Safeguard: Execute Blue/Green and progressive Canary deployments safely.
Cloud-Native Observability
Unified AI-driven telemetry across metrics, logs, traces, and alert governance.
- Pipelines: Intent-driven OpenTelemetry collector provisioning and validation.
- Query: Safe PromQL, LogQL, and TraceQL execution with built-in guardrails.
- FinOps: TSDB cardinality analysis and cost governance across monitoring stacks.
Intelligent SRE Operations
Resolve complex production incidents before they impact customers.
- Investigate: Correlate cross-signal telemetry to isolate root causes in seconds.
- Remediate: Execute pre-approved operational runbooks within strict guardrails.
- Escalate: Generate rich post-incident context and automated summary reports.
Multi-Cloud IaC Orchestration
Unified control plane for multi-cloud infrastructure with compliance-first architecture.
- Abstract: Standardize cloud resource definitions without provider lock-in.
- Optimize: Cross-cloud cost, capacity, and placement recommendations.
- Standardize: Enforce Well-Architected Framework security and networking defaults.
Continuous Compliance & Safety
Enterprise guardrails, immutable audit trails, and human-in-the-loop control.
- Approve: Granular human-in-the-loop approval gates for destructive changes.
- Audit: Cryptographic trace history of every agent decision, tool call, and diff.
- Verify: 365-day continuous audit readiness across cloud and K8s environments.
How It Works
Get from zero to operational in three phased steps — with enterprise guardrails built in at every stage.
Connect Your Clouds
Securely connect your AWS, Azure, and GCP accounts. Configure credentials, IAM policies, and validate compliance.
- Standard Setups: Rapid integration via secure, read-only initial access.
- Regulated Industries: Native support for HIPAA/SOC 2 governance validation.
- Result: Agents gain secure, audited access across all infrastructure.
Deploy Specialized Agents
Roll out specialized agents in phases. Start with read-only observability, then advisory assistants.
- Training: Agents learn your specific cloud patterns, tools, and workflows.
- Gradual Autonomy: Start with routine tasks; progress to complex orchestration.
- Security: Governance and safety checks embedded at every stage.
Start Talking to Your Infrastructure
Command via natural language. Review plans in Git, approve, and let agents execute your intent.
- Routine Ops: Low-risk actions (scaling, restarts) execute with notifications.
- Critical Ops: Deployments and migrations wait for your Git-based approval.
- Collaborative: Human control. Machine efficiency. Fully audited and rollback-able.
Technology Architecture
Powered by LangChain, LangGraph & Deep Agents SDK
Deterministic multi-agent orchestration, the Model Context Protocol (MCP), open A2A/A2UI standards, and enterprise-grade safety gates.
LangGraph & Deep Agents SDK Orchestration
State-machine-based multi-agent execution engine with deterministic DAG workflows and persistent checkpointing.
- DAG State Machines: Workflows run as checkpointed nodes with typed state aggregation and error handling.
- Isolated Subagent Memory: BranchMemoryStore isolates subagent contexts to prevent token drift.
- Resilient Checkpoints: Human-in-the-loop pause nodes, time-travel debugging, and rollback capabilities.
Model Context Protocol (MCP) Ecosystem
Standardized open protocol connecting AI agents securely to Kubernetes, clouds, and observability backends.
- 10 Production MCP Servers: Native tools for Helm, Prometheus, Alertmanager, OpenTelemetry, Loki, Tempo, ArgoCD, Argo Rollouts, Traefik, and Terraform.
- 4-Tier Tool Guardrails: Strict parameter schemas, query byte thresholds (FinOps), and PromQL rate-counter enforcement.
- Dynamic MCP Resources: Live operational runbooks, schema discovery, and real-time backend health endpoints.
Open Protocols: A2A & A2UI
Open standard protocols for cross-agent collaboration and safe declarative user interface streaming.
- A2A (Agent-to-Agent): Secure JSON-RPC 2.0 inter-agent messaging with Agent Cards for capability discovery.
- A2UI (Agent-to-UI): Declarative JSON component streaming for rich interactive cards without XSS or script injection risks.
- Multi-Turn Streaming: Stateful dialogues with async event push notifications and disconnected operation support.
Enterprise Safety, AST Scanners & GitOps
Multi-tier guardrail system enforcing the principle: "Produce Diffs & Plans, Not Blind Deployments".
- 3-Tier Approval Modes: Configurable human-in-the-loop policies (suggest, auto-edit, full-auto).
- AST Security Scanners: Preflight static scanners intercepting dangerous bash commands, Unicode exploits, and secret leakage.
- GitOps Reconciliation: Immutable audit trails with all infrastructure modifications committed as reviewable pull requests.
Need Help Getting Started?
We help teams integrate AI automation into their existing DevOps stack — no rip-and-replace required. Your tools, your environment, your data.
DevOps Assessment
We audit your toolchain, find where your team spends the most time on repetitive work, and deliver a practical roadmap
AI Agent Integration
We deploy agents configured for your stack — integrated with your existing tools, not replacing them
Team Enablement
We transfer full ownership to your team. Our goal is to work ourselves out of a job