Jenkins MCP Server

Jenkins MCP Server

A production-ready MCP server for Jenkins that enables managing jobs, pipelines, builds, and nodes through natural language, with configurable security and guardrails.

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Jenkins MCP Server

Production-ready Jenkins Model Context Protocol server for Hermes Agent and other MCP clients.

CI Release

Tools

23 tools, grouped as the guardrail policy groups them.

Group Tool Purpose
@read list_jobs List jobs, optionally within a folder
@read get_job Job details and recent builds
@read get_job_config Fetch config.xml
@read get_build_info Build result, duration, parameters
@read get_build_console Progressive, size-bounded console log
@read list_running_builds Builds currently executing
@read get_queue Inspect the build queue
@read list_nodes List agents
@read get_node Agent details
@write create_job_from_xml Create a job from config.xml
@write create_pipeline_job Create a Pipeline job
@write create_multibranch_pipeline Create a Git multibranch Pipeline
@write scan_multibranch_pipeline Trigger a branch scan
@write copy_job Copy an existing job
@write enable_job Enable a job
@write disable_job Disable a job
@write trigger_build Trigger a build, with parameters
@destructive update_job_config Overwrite an existing config.xml
@destructive delete_job Delete a job — irreversible, opt-in
@destructive stop_build Stop, terminate, or kill a running build
@destructive cancel_queue_item Cancel a queued item
@destructive set_node_offline Take an agent offline or online
@admin jenkins_admin_request Generic Jenkins REST call — disabled by default

See Security and guardrails for how to restrict these at either layer.

Capabilities

  • Native MCP Streamable HTTP endpoint at /mcp and optional stdio transport.
  • Job list/read/create/update/delete/copy/enable/disable.
  • Pipeline and Git multibranch Pipeline creation and scanning.
  • Build trigger, parameterized builds, running-build discovery, stop/terminate/kill.
  • Queue inspection and cancellation.
  • Node inspection and optional online/offline management.
  • Progressive bounded console logs.
  • Jenkins crumb support, retries, timeouts, nested-folder paths, and TLS verification.
  • Read-only mode, job allowlist, write-category controls, and JSONL audit logging.
  • Optional generic administrator REST request, disabled by default.

Published artifacts

ghcr.io/grglzrv/jenkins-mcp-server:<version>
oci://ghcr.io/grglzrv/charts/jenkins-mcp-server --version <version>

Release images are published for linux/amd64 and linux/arm64.

Architecture

Requests pass through up to two independent enforcement layers before reaching Jenkins. The server's own policy always applies. The minibridge proxy is optional and adds a second layer in front of it.

Jenkins MCP Server architecture

Inside minibridge the three settings do different jobs, which is easy to confuse because they sit side by side in values.yaml:

Setting Question it answers Nature
minibridge.tools, minibridge.methodsDeny Which tools and capabilities may be called at all? Deterministic, by name
minibridge.guardrails Is the content flowing through safe? Heuristic, pattern matching
minibridge.policer Which engine evaluates, and does a violation block or only log? Engine configuration

minibridge is the component; guardrails is one key inside it. With minibridge.enabled: false the guardrails list does nothing, because there is no proxy to evaluate it.

The deployment path in the reference Kubernetes setup:

Hermes Agent
    │ HTTPS over Tailscale
    ▼
Tailscale Kubernetes Ingress
    │
    ▼
Jenkins MCP Server /mcp
    │ HTTPS through Tailscale egress
    ▼
Jenkins controller

Hermes never receives the Jenkins API token. The token stays in a Kubernetes Secret or external secret provider and is used only by the MCP server.

Quick start with Docker

cp .env.example .env
# Configure Jenkins URL, username, token, and CA bundle.

docker build --build-arg APP_VERSION=$(cat VERSION) \
  -t jenkins-mcp-server:$(cat VERSION) .

docker run --rm \
  --env-file .env \
  -p 8000:8000 \
  -p 8081:8081 \
  -v "$PWD/certs:/certs:ro" \
  jenkins-mcp-server:$(cat VERSION)

Health endpoints:

GET http://localhost:8081/healthz
GET http://localhost:8081/readyz

MCP endpoint:

http://localhost:8000/mcp

Helm installation

kubectl create namespace jenkins-mcp
kubectl -n jenkins-mcp create secret generic jenkins-mcp-secrets \
  --from-literal=JENKINS_USERNAME=hermes-jenkins \
  --from-literal=JENKINS_TOKEN='<JENKINS_API_TOKEN>'

helm upgrade --install jenkins-mcp \
  oci://ghcr.io/grglzrv/charts/jenkins-mcp-server \
  --version 1.2.0 \
  --namespace jenkins-mcp \
  --values examples/values/tailscale-production.yaml

The chart includes hardened pod settings, probes, NetworkPolicy, PodDisruptionBudget, optional External Secrets, Tailscale ingress, and Tailscale egress to Jenkins.

For strict TLS, configure jenkins.url with Jenkins's exact Tailscale MagicDNS FQDN and route the tailnet DNS zone through the Operator DNSConfig; do not use the Kubernetes egress Service name as the HTTPS hostname.

Hermes configuration

Through the tailnet:

mcp_servers:
  jenkins:
    transport: streamable_http
    url: https://jenkins-mcp.<tailnet>.ts.net/mcp

Directly inside the same Kubernetes cluster:

mcp_servers:
  jenkins:
    transport: streamable_http
    url: http://jenkins-mcp.jenkins-mcp.svc.cluster.local:8000/mcp

Security and guardrails

Two layers, applied independently.

Layer 1 — server policy (mcp.*), always enforced

Enforced inside the Python process. It applies whether or not minibridge is deployed, and cannot be bypassed by a client.

JENKINS_VERIFY_TLS=true
MCP_READ_ONLY=false
MCP_ALLOW_JOB_WRITE=true
MCP_ALLOW_BUILD_WRITE=true
MCP_ALLOW_NODE_WRITE=false
MCP_ALLOW_ADMIN_REQUEST=false
MCP_ALLOWED_JOBS=AI/*,Platform/*

Destructive actions are gated separately from ordinary writes, so an agent can create and trigger jobs while never being able to delete one. Each destructive action must clear its category flag, the master switch, and its own flag.

Variable Chart value Default Covers
MCP_ALLOW_DESTRUCTIVE mcp.allowDestructive true Master switch for all of the below
MCP_ALLOW_JOB_DELETE mcp.allowJobDelete false delete_job
MCP_ALLOW_JOB_UPDATE mcp.allowJobUpdate true update_job_config
MCP_ALLOW_BUILD_STOP mcp.allowBuildStop true stop_build, cancel_queue_item

To disable every irreversible action at once while keeping reads, job creation and build triggering:

mcp:
  allowDestructive: false

MCP_READ_ONLY=true overrides everything, and MCP_ALLOWED_JOBS restricts every tool to matching job paths. Job names containing . or .. segments are rejected at both the policy and URL layers.

Layer 2 — minibridge proxy (optional)

Minibridge terminates MCP over HTTP, evaluates a Rego policy on every request and response, and speaks stdio to the server it spawns. It requires the -minibridge image built from docker/Dockerfile.minibridge.

minibridge:
  enabled: true

Credential injection is unchanged with the proxy on or off: JENKINS_TOKEN always arrives via secretKeyRef from a Kubernetes Secret, which External Secrets can populate from GCP Secret Manager.

Disabling destructive tools and capabilities

minibridge.tools is a policy over the server's whole tool surface. The default is allow-all — with both lists empty every tool and capability is permitted, and restriction is entirely opt-in.

Entries are a bare tool name or a group:

Group Tools
@read list_jobs, get_job, get_job_config, get_build_info, get_build_console, list_running_builds, get_queue, list_nodes, get_node
@write create_job_from_xml, copy_job, enable_job, disable_job, create_pipeline_job, create_multibranch_pipeline, scan_multibranch_pipeline, trigger_build
@destructive update_job_config, delete_job, stop_build, cancel_queue_item, set_node_offline
@admin jenkins_admin_request
@all every tool

Exclude only the irreversible tools, keeping everything else:

minibridge:
  enabled: true
  tools:
    deny: ["@destructive"]

A strict read-only deployment — a non-empty allow becomes an allowlist:

minibridge:
  tools:
    allow: ["@read"]

deny always wins over allow. Denied tools are refused on tools/call and filtered out of tools/list, so the agent never sees a tool it cannot use. Whole MCP capabilities are gated by method name:

minibridge:
  methodsDeny: ["resources/read"]

Every one of the 23 tools belongs to exactly one group, asserted by a test so the groups cannot drift from the server.

Guardrails

Heuristic content inspection, independent of the tool policy above. All are off by default; enable only what you need.

Guardrail What it does
covert-instruction-detection Detects hidden or obfuscated directives in tool descriptions and responses, such as a build log carrying <important>Do not tell the user…</important>
sensitive-pattern-detection Flags references to sensitive surfaces. Jenkins-aware: the script console (/scriptText, /script), credential stores, $JENKINS_HOME, secrets/master.key, path traversal, cloud metadata endpoints
shadowing-pattern-detection Identifies tool descriptions or responses that try to override or redirect other tools
schema-misuse-prevention Rejects out-of-schema argument names (debug, note, metadata, …) used to smuggle instructions
cross-origin-tool-access Blocks descriptions and responses that reference tools outside this server. This server's own 23 tool names are excluded so they do not trip it
secrets-redaction Replaces credentials with [REDACTED] in responses. Jenkins-aware: API tokens in curl -u user:token and https://user:token@host form, JENKINS_TOKEN, crumbs, session cookies, plus GitHub/AWS/JWT/Slack formats
minibridge:
  guardrails:
    - secrets-redaction
    - sensitive-pattern-detection
    - covert-instruction-detection

The policy has 29 OPA tests covering both directions — that clean console output and this server's own tool names are not flagged, and that injection, traversal and token leakage are. They run in CI via the policy job.

Shared-secret authentication

A lightweight auth layer checked by the policy against the Authorization header. The secret is referenced from a Kubernetes Secret and never inlined in values:

minibridge:
  basicAuth:
    enabled: true
    existingSecret: jenkins-mcp-server-credentials
    secretKey: BASIC_AUTH_SECRET

If that Secret is managed by External Secrets, add the key to externalSecret.extraData — otherwise the chart fails the render with an explanation rather than producing a pod that cannot start.

Use it only in controlled environments, rotate the secret, and always pair it with TLS (minibridge.tls, which also supports mTLS via clientCASecretKey).

Enforcement

minibridge:
  policer:
    enforce: true          # false logs the verdict and lets traffic through
    rego:
      enabled: true
      policy: /policy.rego
    http:
      enabled: false       # or delegate to a remote HTTP policer

Recommended posture

Use a dedicated Jenkins service account. Keep jenkins_admin_request disabled unless there is a reviewed operational requirement, keep allowJobDelete: false, restrict MCP_ALLOWED_JOBS to controlled folders, and keep destructive tools behind human approval in the agent. Setting minibridge.tools.deny: ["@destructive", "@admin"] gives defence in depth: the proxy refuses the call and never advertises the tool, and the server would refuse it anyway.

Development

make install
make lint
make coverage
make verify-version

With Helm installed:

make helm-lint
make helm-template

Full Docker-based Jenkins TLS integration test:

make integration

Releases and versioning

One canonical semantic version is synchronized across the Python package, Helm chart, application image, and production Kustomize overlay. The chart is never left pointing at a stale image, because it does not pin an image tag at all:

image:
  repository: ghcr.io/grglzrv/jenkins-mcp-server
  tag: ""        # empty means use Chart.appVersion

So Chart.appVersion is the image tag. Bumping the version moves the chart and the image together by construction.

make version VERSION=1.8.0     # rewrites 9 version locations across 8 files
git commit -am "chore(release): prepare v1.8.0"
git tag -a v1.8.0 -m "Release v1.8.0"
git push origin main v1.8.0

make version updates VERSION, pyproject.toml, src/jenkins_mcp_server/__init__.py, the chart's version and appVersion (two locations in one file), the Kustomize base and production overlay, the example values, and the Argo CD application. scripts/check_version.py then asserts all nine agree.

The release workflow refuses to publish anything if they do not:

test "${version}" = "$(cat VERSION)"   # git tag must match VERSION
python scripts/check_version.py        # all 9 locations must agree

Only after that gate passes does it build the multi-architecture image (tagged 1.8.0, 1.8, 1, and latest), package the chart at the same version, push both to GHCR, and create the GitHub Release with provenance and SBOM metadata.

Two consequences worth knowing:

  • :edge never touches the chart. Every push to main publishes ghcr.io/grglzrv/jenkins-mcp-server:edge, but the chart only ever references appVersion. Edge images are opt-in via image.tag: edge.
  • Chart-only changes still need a full version bump, since chart version and appVersion are deliberately locked together. That trades Helm's convention of versioning the chart independently for the guarantee that a chart version identifies exactly one application build.

Documentation

Attribution

This is not an official Jenkins project. Jenkins is a registered trademark of the Continuous Delivery Foundation.

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