MCP Rancher

Why this exists

Rancher is how real fleets run Kubernetes — and it speaks two APIs (the legacy Norman /v3 plane and the modern Steve /v1 plane), varies by version, and wraps every cluster behind its own proxy. Pointing a generic Kubernetes MCP server at it misses everything Rancher-specific; pointing an agent at raw kubectl gives up auditability, guardrails, and the management-plane view entirely.

MCP Rancher is built for that reality:

• Capability-aware, not version-naive. It detects what each connected Rancher actually supports instead of assuming. One binary spans 2.6.5 → 2.9.3 with the same tool surface.

• Multi-instance first. Lab, staging, prod — configure them all; mark prod read_only: true and every mutation is refused at the config layer, before any guard even has to fire.

• Nothing is out of reach. Curated tools cover the common 95%; the generic engine reaches every resource either API plane exposes — even types nobody wrote a tool for yet.

Related MCP server: kom

The tool surface

321 tools: 178 read-only · 143 writes · 38 destructive — counted from the registry itself, not by hand. docs/tool-manifest.json is generated from the live FastMCP registry (make tool-manifest) and a CI gate fails the build if it ever drifts from the code. Per-tool descriptions, safety annotations, and parameters all live there; the narrative registry with slice tracking is docs/tool-catalog.md.

Domains covered: clusters & nodes · projects & namespaces · workloads · pods & services · storage · networking · config & secrets (values masked) · certificates (keys masked) · RBAC · auth & identity · apps & catalogs · logging pipeline · Prometheus monitoring · policy reports · CIS compliance · backup operator · etcd backups · Longhorn · Fleet · provisioning · settings & features · alerts & notifiers.

Quick start

Requirements

• Python 3.12+ and uv

• A Rancher API token (creating one)

Install & run

# From source
git clone https://github.com/rex/mcp-rancher.git
cd mcp-rancher
make setup                 # deps, .env scaffold, pre-commit hooks
cp .env.example .env       # set RANCHER_URL + RANCHER_TOKEN
make dev                   # run the MCP server (stdio)

Once published to PyPI, it's one line: uvx rancher-mcp.

Claude Code

claude mcp add rancher \
  -e RANCHER_URL=https://rancher.example.com \
  -e RANCHER_TOKEN=token-xxxxx:yyyyyyyyy \
  -- uv run --directory /path/to/mcp-rancher rancher-mcp

Claude Desktop

{
  "mcpServers": {
    "rancher": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-rancher", "rancher-mcp"],
      "env": {
        "RANCHER_URL": "https://rancher.example.com",
        "RANCHER_TOKEN": "token-xxxxx:yyyyyyyyy"
      }
    }
  }
}

Multiple instances

RANCHER_INSTANCES_JSON='{
  "production": {"url": "https://rancher.prod.example.com",    "token": "token-a:xxx", "verify_ssl": true, "read_only": true},
  "lab":        {"url": "https://rancher.lab.example.com",     "token": "token-b:yyy", "verify_ssl": false, "read_only": false}
}'
RANCHER_DEFAULT_INSTANCE=production

Every tool takes an optional instance argument. Instances flagged read_only: true refuse all mutations at the settings layer.

Architecture

flowchart LR
    A[MCP client<br/>Claude Code · Claude Desktop · any] -- stdio --> S

    subgraph S[rancher-mcp]
        direction TB
        L1[Discovery & schema<br/>planes · schemas · capabilities]
        L2[Generic engine<br/>any resource · both planes<br/>CRUD · actions · links · watch]
        L3[Curated tools<br/>typed models · shaped output<br/>next-step hints]
        G[Safety layer<br/>read-only guard · confirmation phrases<br/>audit log · rate limit · masking]
        L1 --> L2 --> L3
        L3 --> G
        L2 --> G
    end

    G -- Norman /v3 --> R1[(Rancher<br/>instance A)]
    G -- Steve /v1 + k8s proxy --> R1
    G -- Norman + Steve --> R2[(Rancher<br/>instance B)]

Three layers, deliberately separate: discovery tells you what an instance can do, the generic engine can touch anything it exposes, and curated tools make the common paths typed, shaped, and self-describing (every response carries suggested_next_steps). Most curated tools are generated from YAML descriptors (catalog/curated_tools/) with a drift gate — the editorial decisions live in descriptors, not boilerplate.

Safety model

Built for the day an agent is pointed at the cluster that pays your salary:

Compatibility

Capability detection bridges version differences at runtime — no version-pinned builds, no "works on my Rancher." Both targets are exercised by the same test suite, and read paths have been validated live against both a 2.6.5 lab and a 2.9.3 production fleet (validation report).

Configuration

Project status

Shipping and stable for read, triage, and guarded write operations. Honest ledger of what's beyond that:

• Destructive workflows (node drain, etcd/backup restore, cert rotation, cluster upgrade/delete) are roadmap — deliberately staged after real-world read-path mileage. The generic engine + confirmation guard already covers these cases for operators who need them today.

• The Alertmanager routes/silences surface needs an in-cluster API integration and is deferred.

• The full per-version compatibility matrix (Track G) is in progress; the first live validation run covers the read matrix on both targets.

Work is tracked to the tool level: docs/tool-catalog.md (every tool has a row, every gap a slice ID) and ROADMAP.md.

Development

make help               # every target, documented
make validate           # codegen drift + manifest drift + architecture + lint + typecheck + tests
make tool-manifest      # regenerate docs/tool-manifest.json from the registry
make lab-up             # local Rancher 2.6.5 lab (kind + helm), fully scripted
make integration-current # isolated Rancher 2.14.3 end-to-end test run
make live-read-matrix   # read-only validation probes against configured instances
make mock-rancher       # fixture-backed mock Rancher for provider-config testing

• Local lab — a self-contained Rancher 2.6.5 on kind with a simulated downstream cluster; repo-local kubeconfigs, never touches your machine state.

• Current integration lab — Rancher 2.14.3 on separate Kind clusters and port 9443; run it serially with make integration-current to avoid overlapping Docker resource demand with the legacy lab.

• Contract fixtures — sanitized captures from live Rancher committed under tests/fixtures/; respx pins the HTTP boundary in tests.

• Codegen — curated tools are emitted from catalog/curated_tools/*.yml descriptors; make check-codegen fails on drift.

• Gates — ruff, pyright strict, 624 tests with coverage floor, architecture line-limits, module-shape checks, secret scanning. All fail closed, all wired into pre-commit.

Stack: Python 3.12 · FastMCP · httpx · Pydantic v2 · structlog · uv

Security

See SECURITY.md for the threat model, token guidance, and how to report vulnerabilities.

License

MIT