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RootCause ๐Ÿงญ

Go MCP codecov

AI-native SRE for Kubernetes incidents.

RootCause is a local-first MCP server that turns natural-language requests into evidence-backed incident analysis, Kubernetes diagnostics, and safer operations.

Built in Go as a single binary, RootCause is optimized for low-friction local workflows using your existing kubeconfig identity.


๐Ÿš€ Quick Start | ๐ŸŒ Client Setup | ๐Ÿ› ๏ธ Tools | ๐Ÿ”’ Safety | โš™๏ธ Config | ๐Ÿ—๏ธ Architecture | ๐Ÿค Contributing


Why RootCause ๐Ÿ’ก

RootCause is built for SRE/operator workflows where speed matters, but unsafe automation is unacceptable.

  • ๐Ÿš€ Stop context-switching: investigate incidents, rollout risk, Helm/Terraform/AWS signals, and remediation from one MCP server.

  • ๐Ÿง  AI-powered diagnostics: evidence-first analysis with RCA, timelines, and action-oriented next checks.

  • ๐Ÿ’ธ Built-in cost optimization: combine resource usage, workload best-practice checks, Terraform plan analysis, and cloud context for optimization decisions.

  • ๐Ÿ”’ Enterprise-ready guardrails: role/namespace policy enforcement, redaction, read-only mode, destructive tool controls, and mutation preflight.

  • โšก Zero learning curve: ask natural-language operational questions and use provided prompt templates for common SRE flows.

  • ๐ŸŒ Universal compatibility: works with MCP-compatible clients across Claude, Cursor, Copilot, Codex, and more.

  • ๐Ÿญ Production-grade workflow: single Go binary, kubeconfig-native auth, deterministic structured outputs, and broad test coverage.

Why teams choose it

Need

RootCause answer

"What changed and why did this break?"

rootcause.incident_bundle, rootcause.change_timeline, rootcause.rca_generate

"Is it safe to restart or roll out now?"

k8s.restart_safety_check, k8s.best_practice, k8s.safe_mutation_preflight

"Is my platform ecosystem healthy?"

k8s.*_detect + k8s.diagnose_* for ArgoCD/Flux/cert-manager/Kyverno/Cilium

"Can I standardize SRE responses?"

Prompt templates + structured output from shared render/evidence pipeline

What Can You Do?

Ask your AI assistant in natural language:

  • "Why did this deployment fail after rollout?"

  • "Is this workload safe to restart right now?"

  • "Why are ArgoCD apps out of sync?"

  • "Is Flux healthy in this cluster?"

  • "Why are certs failing to renew?"

  • "Before patch/apply, is this mutation safe?"

RootCause keeps its depth-first model: evidence-first diagnosis, root-cause analysis, and remediation flow instead of raw tool sprawl.

Power users can map these prompts to concrete tools in this README (Complete Feature Set, Toolchains, and Tools sections).

Use Cases

Incident response

  • Build end-to-end incident evidence with rootcause.incident_bundle

  • Generate probable causes with rootcause.rca_generate

  • Export timeline and postmortem artifacts for follow-up

Safe operations before mutation

  • Evaluate rollout/restart risk with k8s.restart_safety_check and k8s.best_practice

  • Run k8s.safe_mutation_preflight before apply/patch/delete/scale operations

Ecosystem-specific health checks

  • ArgoCD: detect installation and diagnose sync/health drift

  • Flux: detect controllers and diagnose reconciliation failures

  • cert-manager / Kyverno / Cilium: detect footprint and diagnose control-plane or policy issues

Feature Highlights

Area

RootCause Capability

Incident analysis

rootcause.incident_bundle, rootcause.rca_generate, rootcause.change_timeline, rootcause.postmortem_export

Kubernetes resilience

k8s.restart_safety_check, k8s.best_practice, k8s.safe_mutation_preflight

Ecosystem diagnostics

ArgoCD/Flux/cert-manager/Kyverno/Cilium via *_detect and diagnose_* tools

Deployment safety

Automatic preflight before k8s mutating operations

Helm operations

Chart search/list/get, release diff, rollback advisor, template apply/uninstall flows

Terraform analysis

Module/provider search + terraform.debug_plan for impact/risk analysis

Service mesh & scaling

Linkerd/Istio/Karpenter diagnostics with shared evidence model

Complete Feature Set

Category

Representative capabilities

Kubernetes core (k8s.*)

CRUD, logs/events, graph-based debug flows, restart safety, best-practice scoring, mutation preflight

Ecosystem diagnostics

ArgoCD, Flux, cert-manager, Kyverno, Cilium via *_detect and diagnose_*

Incident intelligence (rootcause.*)

Incident bundle orchestration, timeline export, RCA generation, remediation playbook, postmortem export

Helm operations (helm.*)

Chart registry search/list/get, release status/diff, rollback advisor, install/upgrade/uninstall, template apply/uninstall

Terraform analysis (terraform.*)

Modules/providers/resources/data source discovery + plan debugging

Service mesh (istio.*, linkerd.*)

Proxy/config/status diagnostics, policy/routing visibility, mesh resource health

Cluster autoscaling (karpenter.*)

Provisioning, nodepool/nodeclass, interruption and scheduling diagnostics

Cloud context (aws.*)

IAM, VPC, EC2, EKS, ECR, STS, KMS diagnostics for cross-layer incident analysis

Safety and controls

Read-only mode, destructive gating, explicit confirmation, auto preflight checks before mutating K8s operations

MCP Resources

Access Kubernetes data as browsable resources:

Resource URI

Description

kubeconfig://contexts

List all available kubeconfig contexts

kubeconfig://current-context

Get current active context

namespace://current

Get current namespace

namespace://list

List all namespaces

cluster://info

Get cluster connection info

cluster://nodes

Get detailed node information

cluster://version

Get Kubernetes version

cluster://api-resources

List available API resources

manifest://deployments/{namespace}/{name}

Get deployment YAML

manifest://services/{namespace}/{name}

Get service YAML

manifest://pods/{namespace}/{name}

Get pod YAML

manifest://configmaps/{namespace}/{name}

Get ConfigMap YAML

manifest://secrets/{namespace}/{name}

Get secret YAML (data masked)

manifest://ingresses/{namespace}/{name}

Get ingress YAML

MCP Prompts

Pre-built workflow prompts for Kubernetes and platform operations:

Prompt

Description

troubleshoot_workload

Comprehensive troubleshooting guide for pods/deployments

deploy_application

Step-by-step deployment workflow

security_audit

Security scanning and RBAC analysis workflow

cost_optimization

Resource optimization and cost analysis workflow

disaster_recovery

Backup and recovery planning workflow

debug_networking

Network debugging for services and connectivity

scale_application

Scaling guide with HPA/VPA best practices

upgrade_cluster

Kubernetes cluster upgrade planning

sre_incident_commander

Severity-based SRE incident coordination workflow

istio_mesh_diagnose

Diagnose Istio control-plane and traffic policy issues

linkerd_mesh_diagnose

Diagnose Linkerd control-plane, proxy, and policy health

helm_release_recovery

Recover failed Helm install/upgrade with rollback strategy

terraform_drift_triage

Investigate Terraform drift and plan safety

aws_eks_operational_check

EKS health, nodegroup, and IAM integration diagnostics

karpenter_capacity_debug

Debug Karpenter provisioning and scheduling issues

Custom prompt overrides are also supported. Resolution order:

  1. MCP_PROMPTS_FILE

  2. ROOTCAUSE_PROMPTS_FILE

  3. [prompts].file in config.toml

  4. Default files: ~/.rootcause/prompts.toml, ~/.config/rootcause/prompts.toml, ./rootcause-prompts.toml

Example custom prompt file:

[[prompt]]
name = "security_audit"
title = "Custom Security Audit"
description = "Org-specific security policy checks"
template = "Run custom security audit for {{namespace|all namespaces}} with CIS and policy controls"

  [[prompt.arguments]]
  name = "namespace"
  description = "Target namespace"
  required = false

Custom prompts override built-ins with the same name.

Key Capabilities

  • ๐Ÿค– Powerful tool catalog - Kubernetes, ecosystem diagnostics, incident workflows, Helm, Terraform, service mesh, and AWS context.

  • ๐ŸŽฏ Prompt-driven workflows - Repeatable runbook templates for incident and reliability analysis.

  • ๐Ÿ“Š MCP Resources support - Readable resource URIs for kubeconfig, namespace, cluster, and manifest access.

  • ๐Ÿ” Security first - Non-destructive modes, policy enforcement, secret masking, and mutation preflight checks.

  • ๐Ÿฅ Advanced diagnostics - Root-cause oriented outputs with evidence and recommended next actions.

  • ๐ŸŽก Strong Helm + Terraform coverage - Chart lifecycle and plan/debug analysis in one server.

  • ๐Ÿ”ง CLI-first operations - Single binary, local kubeconfig usage, and toolset-level controls.

Getting Started

1) Run RootCause

go run ./cmd/rootcause --config config.toml

2) Connect your MCP client

Use stdio transport and point your MCP client to the rootcause command.

3) Try high-signal prompts

  • "Generate an incident bundle for namespace payments and summarize the likely root cause."

  • "Run best-practice checks for deployment payment-api and list critical findings."

  • "Run safe mutation preflight for this apply operation before execution."

Quick Start ๐Ÿš€

  1. Run the server:

go run ./cmd/rootcause --config config.example.toml
  1. Use your existing kubeconfig (default) or point to one:

  • Uses KUBECONFIG if set, otherwise ~/.kube/config.

  • Override with --kubeconfig and --context.

  1. Connect your MCP client using stdio.

RootCause is built for local development. No API keys are required in this version.

Safe-by-default workflow: diagnose read-only first, then run mutation preflight before any write operation.


Installation

Homebrew:

brew install yindia/homebrew-yindia/rootcause

Curl install:

curl -fsSL https://raw.githubusercontent.com/yindia/rootcause/refs/heads/main/install.sh | sh

Go install:

go install ./cmd/rootcause

Or build a local binary:

go build -o rootcause ./cmd/rootcause

Supported OS: macOS, Linux, and Windows.

Windows build example:

go build -o rootcause.exe ./cmd/rootcause

Usage

Run with a config file:

rootcause --config config.toml

Enable a subset of toolchains:

rootcause --toolsets k8s,istio

Enable read-only mode:

rootcause --read-only

MCP Client Setup ๐ŸŒ

All MCP clients use the same core values:

  • command: rootcause

  • args: usually --config /path/to/config.toml

  • env: optional KUBECONFIG

Universal template

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

All Supported AI Assistants

Claude Desktop

File: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

Claude Code

File: ~/.config/claude-code/mcp.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

Cursor

File: ~/.cursor/mcp.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

GitHub Copilot (VS Code)

File: VS Code settings.json (MCP-enabled builds)

{
  "mcp.servers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

OpenAI Codex / Codex CLI

Format can vary by release. Equivalent TOML entry:

[mcp.servers.rootcause]
command = "rootcause"
args = ["--config", "/Users/you/.config/rootcause/config.toml"]
env = { KUBECONFIG = "/Users/you/.kube/config" }

Goose

File: ~/.config/goose/config.yaml

extensions:
  rootcause:
    command: rootcause
    args:
      - --config
      - /Users/you/.config/rootcause/config.toml

Gemini CLI

File: ~/.gemini/settings.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

Roo Code / Kilo Code

File: ~/.config/roo-code/mcp.json or ~/.config/kilo-code/mcp.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

Windsurf

File: ~/.config/windsurf/mcp.json

{
  "mcpServers": {
    "rootcause": {
      "command": "rootcause",
      "args": ["--config", "/Users/you/.config/rootcause/config.toml"],
      "env": { "KUBECONFIG": "/Users/you/.kube/config" }
    }
  }
}

Other MCP-compatible clients

Use the universal template and map keys to the client's schema.

MCP Client Compatibility

Works seamlessly with MCP-compatible AI assistants:

Client

Status

Client

Status

Claude Desktop

โœ… Native

Claude Code

โœ… Native

Cursor

โœ… Native

Windsurf

โœ… Native

GitHub Copilot

โœ… Native

OpenAI Codex

โœ… Native

Gemini CLI

โœ… Native

Goose

โœ… Native

Roo Code

โœ… Native

Kilo Code

โœ… Native

Amp

โœ… Compatible

Trae

โœ… Compatible

OpenCode

โœ… Compatible

Kiro CLI

โœ… Compatible

Antigravity

โœ… Compatible

Clawdbot

โœ… Compatible

Droid (Factory)

โœ… Compatible

Any MCP Client

โœ… Compatible

Validate setup (all providers)

  1. Restart your client after editing MCP config.

  2. Ask: "List RootCause tools".

  3. Ask: "Run k8s.argocd_detect".

  4. If tools are missing, verify rootcause path, --toolsets, and KUBECONFIG.

Suggested first prompts (RootCause context)

  • "Run incident bundle for namespace payments and summarize root cause."

  • "Check deployment payment-api restart safety before rollout."

  • "Diagnose ArgoCD health in namespace argocd."

  • "Preflight this patch operation before mutation."

MCP Client Example (stdio)

rootcause --config config.toml

Point your MCP client to run the command above and use stdio transport.


Example Operator Flows ๐Ÿงช

Incident RCA flow

  1. "Create incident bundle for namespace payments"

  2. "Generate RCA from latest incident bundle"

  3. "Export postmortem draft"

Tools behind this flow:

  • rootcause.incident_bundle

  • rootcause.rca_generate

  • rootcause.postmortem_export

Safe rollout flow

  1. "Run restart safety check for deployment payment-api"

  2. "Run best-practice check for payment-api"

  3. "Run mutation preflight for rollout restart"

Tools behind this flow:

  • k8s.restart_safety_check

  • k8s.best_practice

  • k8s.safe_mutation_preflight

Ecosystem diagnosis flow

  1. "Detect Flux in this cluster"

  2. "Diagnose Flux reconciliation health in namespace flux-system"

  3. "Summarize top issues and next actions"

Tools behind this flow:

  • k8s.flux_detect

  • k8s.diagnose_flux


Toolchains

Enabled by default:

Toolchain

Primary Purpose

Typical Requirement

k8s

Core Kubernetes operations and diagnostics

Kubernetes API access

linkerd

Linkerd health and policy diagnostics

Linkerd control plane

karpenter

Node provisioning and scaling diagnostics

Karpenter controller

istio

Service mesh configuration and proxy diagnostics

Istio control plane

helm

Chart registry/release workflows and diffing

Helm 3 and cluster access

aws

EKS/EC2/VPC/IAM/ECR/KMS/STS diagnostics

AWS credentials

terraform

Registry and plan impact analysis

Terraform workflows

rootcause

Incident bundles, RCA, timeline, postmortem export

Kubernetes access

browser (optional)

Browser automation via agent-browser

MCP_BROWSER_ENABLED=true + agent-browser install

Optional toolchains return "not detected" when the control plane is absent. Additional toolchains can be registered via the plugin SDK; see PLUGINS.md.

Enable only what you need:

rootcause --toolsets k8s,helm,rootcause

Optional: Browser Automation (26 Tools)

Automate web-based Kubernetes operations with agent-browser integration.

Quick setup:

# Install agent-browser
npm install -g agent-browser
agent-browser install

# Enable browser tools
export MCP_BROWSER_ENABLED=true
rootcause

What you can do:

  • ๐ŸŒ Test deployed apps via Ingress URLs

  • ๐Ÿ“ธ Screenshot Grafana, ArgoCD, or any K8s dashboard

  • โ˜๏ธ Automate cloud console operations (EKS, GKE, AKS)

  • ๐Ÿฅ Health check web applications

  • ๐Ÿ“„ Export monitoring dashboards as PDF

  • ๐Ÿ” Test authentication flows with persistent sessions

26 available tools: browser_open, browser_screenshot, browser_click, browser_fill, browser_test_ingress, browser_screenshot_grafana, browser_health_check, and 19 more.

Full list: browser_open, browser_screenshot, browser_click, browser_fill, browser_test_ingress, browser_screenshot_grafana, browser_health_check, browser_snapshot, browser_get_text, browser_get_html, browser_evaluate, browser_pdf, browser_wait_for, browser_wait_for_url, browser_press, browser_select, browser_check, browser_uncheck, browser_hover, browser_type, browser_upload, browser_drag, browser_new_tab, browser_switch_tab, browser_close_tab, browser_close.

Advanced features:

  • Cloud providers: Browserbase, Browser Use

  • Persistent browser profiles

  • Remote CDP connections

  • Session management


Tools

Prompt templates for common debugging flows are in prompts/prompt.md.

Core Kubernetes (k8s.* + kubectl-style aliases)

  • CRUD + discovery: k8s.get, k8s.list, k8s.describe, k8s.create, k8s.apply, k8s.patch, k8s.delete, k8s.api_resources, k8s.crds

  • Ops + observability: k8s.logs, k8s.events, k8s.context, k8s.explain_resource, k8s.ping, k8s.events_timeline

  • Workload operations and safety: k8s.scale, k8s.rollout, k8s.restart_safety_check, k8s.best_practice, k8s.safe_mutation_preflight

  • Ecosystem detection: k8s.argocd_detect, k8s.flux_detect, k8s.cert_manager_detect, k8s.kyverno_detect, k8s.cilium_detect

  • Ecosystem diagnostics: k8s.diagnose_argocd, k8s.diagnose_flux, k8s.diagnose_cert_manager, k8s.diagnose_kyverno, k8s.diagnose_cilium

  • Debugging: k8s.overview, k8s.crashloop_debug, k8s.scheduling_debug, k8s.hpa_debug, k8s.vpa_debug, k8s.storage_debug, k8s.config_debug, k8s.permission_debug, k8s.network_debug, k8s.private_link_debug, k8s.debug_flow

  • Maintenance + topology: k8s.cleanup_pods, k8s.node_management, k8s.graph, k8s.resource_usage

Linkerd (linkerd.*)

  • linkerd.health, linkerd.proxy_status, linkerd.identity_issues, linkerd.policy_debug, linkerd.cr_status, linkerd.virtualservice_status, linkerd.destinationrule_status, linkerd.gateway_status, linkerd.httproute_status

Istio (istio.*)

  • istio.health, istio.proxy_status, istio.config_summary, istio.service_mesh_hosts, istio.discover_namespaces, istio.pods_by_service, istio.external_dependency_check

  • istio.proxy_clusters, istio.proxy_listeners, istio.proxy_routes, istio.proxy_endpoints, istio.proxy_bootstrap, istio.proxy_config_dump

  • istio.cr_status, istio.virtualservice_status, istio.destinationrule_status, istio.gateway_status, istio.httproute_status

Karpenter (karpenter.*)

  • karpenter.status, karpenter.node_provisioning_debug, karpenter.nodepool_debug, karpenter.nodeclass_debug, karpenter.interruption_debug

Helm (helm.*)

  • Repo/registry: helm.repo_add, helm.repo_list, helm.repo_update, helm.list_charts, helm.get_chart, helm.search_charts

  • Release operations: helm.list, helm.status, helm.diff_release, helm.rollback_advisor, helm.install, helm.upgrade, helm.uninstall, helm.template_apply, helm.template_uninstall

AWS IAM (aws.iam.*)

  • aws.iam.list_roles, aws.iam.get_role, aws.iam.get_instance_profile, aws.iam.update_role, aws.iam.delete_role

  • aws.iam.list_policies, aws.iam.get_policy, aws.iam.update_policy, aws.iam.delete_policy

AWS VPC (aws.vpc.*)

  • aws.vpc.list_vpcs, aws.vpc.get_vpc, aws.vpc.list_subnets, aws.vpc.get_subnet, aws.vpc.list_route_tables, aws.vpc.get_route_table

  • aws.vpc.list_nat_gateways, aws.vpc.get_nat_gateway, aws.vpc.list_security_groups, aws.vpc.get_security_group

  • aws.vpc.list_network_acls, aws.vpc.get_network_acl, aws.vpc.list_internet_gateways, aws.vpc.get_internet_gateway

  • aws.vpc.list_vpc_endpoints, aws.vpc.get_vpc_endpoint, aws.vpc.list_network_interfaces, aws.vpc.get_network_interface

  • aws.vpc.list_resolver_endpoints, aws.vpc.get_resolver_endpoint, aws.vpc.list_resolver_rules, aws.vpc.get_resolver_rule

AWS EC2 (aws.ec2.*)

  • aws.ec2.list_instances, aws.ec2.get_instance, aws.ec2.list_auto_scaling_groups, aws.ec2.get_auto_scaling_group, aws.ec2.list_load_balancers, aws.ec2.get_load_balancer

  • aws.ec2.list_target_groups, aws.ec2.get_target_group, aws.ec2.list_listeners, aws.ec2.get_listener, aws.ec2.get_target_health

  • aws.ec2.list_listener_rules, aws.ec2.get_listener_rule, aws.ec2.list_auto_scaling_policies, aws.ec2.get_auto_scaling_policy, aws.ec2.list_scaling_activities, aws.ec2.get_scaling_activity

  • aws.ec2.list_launch_templates, aws.ec2.get_launch_template, aws.ec2.list_launch_configurations, aws.ec2.get_launch_configuration

  • aws.ec2.get_instance_iam, aws.ec2.get_security_group_rules, aws.ec2.list_spot_instance_requests, aws.ec2.get_spot_instance_request

  • aws.ec2.list_capacity_reservations, aws.ec2.get_capacity_reservation, aws.ec2.list_volumes, aws.ec2.get_volume, aws.ec2.list_snapshots, aws.ec2.get_snapshot, aws.ec2.list_volume_attachments

  • aws.ec2.list_placement_groups, aws.ec2.get_placement_group, aws.ec2.list_instance_status, aws.ec2.get_instance_status

AWS EKS (aws.eks.*)

  • aws.eks.list_clusters, aws.eks.get_cluster, aws.eks.list_nodegroups, aws.eks.get_nodegroup, aws.eks.list_addons, aws.eks.get_addon

  • aws.eks.list_fargate_profiles, aws.eks.get_fargate_profile, aws.eks.list_identity_provider_configs, aws.eks.get_identity_provider_config

  • aws.eks.list_updates, aws.eks.get_update, aws.eks.list_nodes, aws.eks.debug

AWS ECR (aws.ecr.*)

  • aws.ecr.list_repositories, aws.ecr.describe_repository, aws.ecr.list_images, aws.ecr.describe_images, aws.ecr.describe_registry, aws.ecr.get_authorization_token

AWS STS (aws.sts.*)

  • aws.sts.get_caller_identity, aws.sts.assume_role

AWS KMS (aws.kms.*)

  • aws.kms.list_keys, aws.kms.list_aliases, aws.kms.describe_key, aws.kms.get_key_policy

Terraform (terraform.*)

  • terraform.debug_plan

  • terraform.list_modules, terraform.get_module, terraform.list_module_versions, terraform.search_modules

  • terraform.list_providers, terraform.get_provider, terraform.list_provider_versions, terraform.get_provider_package, terraform.search_providers

  • terraform.list_resources, terraform.get_resource, terraform.search_resources

  • terraform.list_data_sources, terraform.get_data_source, terraform.search_data_sources

RootCause (rootcause.*)

  • rootcause.incident_bundle, rootcause.change_timeline, rootcause.rca_generate, rootcause.remediation_playbook, rootcause.postmortem_export

Browser (browser_*, optional)

  • browser_open, browser_screenshot, browser_click, browser_fill, browser_test_ingress, browser_screenshot_grafana, browser_health_check

  • browser_snapshot, browser_get_text, browser_get_html, browser_evaluate, browser_pdf, browser_wait_for, browser_wait_for_url

  • browser_press, browser_select, browser_check, browser_uncheck, browser_hover, browser_type, browser_upload, browser_drag

  • browser_new_tab, browser_switch_tab, browser_close_tab, browser_close

Kubectl-style aliases

  • kubectl_get, kubectl_list, kubectl_describe, kubectl_create, kubectl_apply, kubectl_delete, kubectl_logs, kubectl_patch, kubectl_scale, kubectl_rollout, kubectl_context, kubectl_generic, kubectl_top, explain_resource, list_api_resources, ping


Safety Modes

  • --read-only: removes apply/patch/delete/exec tools from discovery.

  • --disable-destructive: removes delete and risky write tools unless allowlisted (create/scale/rollout remain available).

  • Mutating tools are documented in this README under Complete Feature Set and Safety Modes.

Default safety policy:

  • If a user does not explicitly request a mutating action, treat the request as read-only diagnostics.

  • Do not run mutating tools implicitly during analysis.

  • For investigation-first workflows, prefer running RootCause in --read-only mode.

  • K8s mutating tools create/apply/patch/delete/scale/rollout/cleanup_pods/node_management run an automatic k8s.safe_mutation_preflight check before execution.

Safety workflow recommendation:

  1. Run read-only diagnosis (k8s.*_debug, k8s.*_detect, k8s.diagnose_*, rootcause.incident_bundle)

  2. Run k8s.safe_mutation_preflight for intended mutation

  3. Execute mutation only after preflight passes and confirm=true


Config and Flags

rootcause --config config.example.toml --toolsets k8s,linkerd,istio,karpenter,helm,aws

Flags

  • --kubeconfig

  • --context

  • --toolsets (comma-separated)

  • --config

  • --read-only

  • --disable-destructive

  • --transport (stdio|http|sse)

  • --host (for HTTP/SSE)

  • --port (for HTTP/SSE)

  • --path (for HTTP/SSE)

  • --log-level

If --config is not set, RootCause will use the ROOTCAUSE_CONFIG environment variable when present.


AWS Credentials

The AWS IAM tools use the standard AWS credential chain and region resolution. Set AWS_REGION or AWS_DEFAULT_REGION (defaults to us-east-1), optionally select a profile with AWS_PROFILE or AWS_DEFAULT_PROFILE, and use any of the normal credential sources (env vars, shared config/credentials files, SSO, or instance metadata).


Kubeconfig Resolution

If --kubeconfig is not set, RootCause follows standard Kubernetes loading rules: it uses KUBECONFIG when present, otherwise defaults to ~/.kube/config.

Authentication and authorization use your kubeconfig identity only in this version.


Troubleshooting

kubeconfig not found

  • Verify KUBECONFIG or ~/.kube/config

  • Override explicitly with --kubeconfig /path/to/config

tools not visible in MCP client

  • Confirm server is running and client points to rootcause

  • Check selected toolsets with --toolsets

  • If using --read-only, mutating tools will be hidden by design

ecosystem tools return not detected

  • This usually means the ecosystem control plane is not installed in the cluster

  • Run k8s.<ecosystem>_detect first, then k8s.diagnose_<ecosystem>

mutation blocked by preflight

  • Run k8s.safe_mutation_preflight explicitly and inspect failed checks

  • Fix policy/namespace/resource issues, then retry with confirm=true


Architecture at a Glance

AI Client
  -> MCP stdio server
  -> Tool registry (k8s/linkerd/istio/karpenter/helm/aws/terraform/rootcause)
  -> Shared internals (kube clients, evidence, policy, rendering, redaction)
  -> Target APIs (Kubernetes + cloud providers)

Why this matters:

  • consistent evidence format across toolsets

  • reusable diagnostics instead of duplicated logic

  • safer operations through centralized policy and preflight checks


Architecture Overview

RootCause is organized around shared Kubernetes plumbing and toolsets that reuse it.

  • Shared clients (typed, dynamic, discovery, RESTMapper) are created once in internal/kube and injected into all toolsets.

  • Common safeguards live in internal/policy (namespace vs cluster enforcement and tool allowlists) and internal/redact (token/secret redaction).

  • internal/evidence gathers events, owner chains, endpoints, and pod status summaries used by all toolsets.

  • internal/render enforces a consistent analysis output format (root causes, evidence, next checks, resources examined) and provides the shared describe helper.

  • Toolsets live under toolsets/ and register namespaced tools (k8s.*, linkerd.*, karpenter.*, istio.*, helm.*, aws.iam.*, aws.vpc.*) through a shared MCP registry.

The MCP server runs over stdio using the MCP Go SDK and is designed for local kubeconfig usage. Optional in-cluster deployment is intentionally out of scope for Phase 1.

Config Reload

Send SIGHUP to reload config and rebuild the tool registry. On Windows, SIGHUP is not supported; restart the process to reload config.


MCP Transport

RootCause supports MCP over stdio (default), http (streamable HTTP), and sse.

Examples:

# stdio
rootcause --config config.toml --transport stdio

# HTTP (streamable)
rootcause --config config.toml --transport http --host 127.0.0.1 --port 8000 --path /mcp

# SSE
rootcause --config config.toml --transport sse --host 127.0.0.1 --port 8000 --path /mcp

Design focus today:

  • best-in-class local reliability for AI-assisted SRE workflows

  • deterministic, auditable outputs for incident review

  • safe mutation gates instead of broad write-by-default behavior


Future Cloud Readiness

AWS IAM support is now available. The toolset system is designed to add deeper cloud integrations (EKS/EC2/VPC/GCP/Azure) without changing the core MCP or shared Kubernetes libraries.


Contributing Guide ๐Ÿค

We welcome code, docs, tests, and operational feedback.

Ways to contribute

  • ๐Ÿ› Report bugs with reproducible steps and expected behavior

  • ๐Ÿ’ก Propose features with concrete operator scenarios

  • ๐Ÿงช Improve tests for safety, policy, and ecosystem diagnostics

  • ๐Ÿงฉ Add or improve toolsets via shared SDK and internal libraries

Contributor workflow

  1. Fork and create a feature branch

  2. Implement focused changes with tests

  3. Run local verification:

go test ./...
  1. Update docs (README.md, prompts/prompt.md) if behavior changed

  2. Open PR with problem statement, approach, and verification notes

Development references

  • Contribution rules: CONTRIBUTING.md

  • Plugin SDK and external toolsets: PLUGINS.md

  • Config example: config.toml

PR quality checklist

  • Behavior matches user/operator expectations

  • Safety model preserved (read-only, destructive gating, preflight)

  • Tests added/updated for new behavior

  • Tool/docs consistency checked (README.md)

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