mcp-helm

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Published: Sep 19, 2026 License: MIT

README

MCP Helm Server

An MCP (Model Context Protocol) server that provides tools for interacting with Helm repositories and charts. This server enables AI assistants to query Helm repositories, retrieve chart information, and access chart values without requiring local Helm installation.

The purpose of using MCP for Helm is to avoid making up format of values.yaml and contents of the charts when working with LLMs. Instead, the server provides a standardized way to access this information, making it easier for AI assistants to interact with Helm charts and repositories.

This MCP server is and will be providing tools for working with Helm repositories only. If you need to work with other Kubernetes resources, consider using a separate MCP server that provides tools for Kubernetes resources.

Features

The MCP Helm server provides the following tools:

  • list_repository_charts - Lists all charts available in a Helm repository (or chart name for OCI registries)
  • list_chart_versions - Lists all available versions/tags for a chart
  • get_latest_version_of_chart - Retrieves the latest stable (non-prerelease) version of a specific chart
  • get_chart_values - Retrieves the values file for a chart (latest version or specific version)
  • get_chart_contents - Retrieves the contents of a chart (including templates, values, and metadata), optionally filtered by file path glob patterns (for example, templates/**)
  • get_chart_dependencies - Retrieves the dependencies of a chart as defined in its Chart.yaml file
  • get_chart_images - Extracts container images used in a Helm chart by rendering templates and parsing Kubernetes manifests
Repository Types

All tools support both traditional HTTP Helm repositories and OCI registries:

Repository Type Example URL
HTTP Repository https://charts.example.com
OCI Registry oci://ghcr.io/org/charts/mychart
OCI (Docker Hub) oci://docker.io/library/mysql
OCI Registry Support

OCI (Open Container Initiative) registries store Helm charts as OCI artifacts. Unlike HTTP repositories where multiple charts share an index, OCI registries typically contain one chart per repository with multiple version tags.

Example usage with OCI:

repository_url: oci://ghcr.io/nginxinc/charts/nginx-ingress
chart_name: (empty - chart name is in the URL)

Try without installation

There is a publicly available instance of the MCP Helm server that you can use to test the features without installing it: https://mcp-helm.zekker.dev/mcp

Installation

Run with docker

You can run the MCP Helm server using Docker. This is the easiest way to get started without needing to install Go or build from source.

docker run -d --name mcp-helm -p 8012:8012 ghcr.io/zekker6/mcp-helm:v1.3.0 -mode=sse

Note that the --mode=sse flag is used to enable Server-Sent Events mode, which used by MCP clients to connect. Alternatively, you can use -mode=http to enable Streamable HTTP mode.

Via pre-build binary

Download binary from the releases page.

Example for Linux x86_64 (note that other architectures and platforms are also available):

latest=$(curl -s https://api.github.com/repos/zekker6/mcp-helm/releases/latest | grep 'tag_name' | cut -d\" -f4)
wget https://github.com/zekker6/mcp-helm/releases/download/$latest/mcp-helm_Linux_x86_64.tar.gz
tar axvf mcp-helm_Linux_x86_64.tar.gz
Via Mise

Mise (mise-en-place) is a development environment setup tool.

mise i ubi:zekker6/mcp-helm@latest
Install with Go

Note: Go 1.26.0 is required.

go install github.com/zekker6/mcp-helm/cmd/mcp-helm@latest
Build from Source

Note: Go 1.26.0 is required.

  1. Clone the repository:

    git clone https://github.com/zekker6/mcp-helm.git
    cd mcp-helm
    
  2. Build the binary:

    go build -o mcp-helm ./cmd/mcp-helm
    
  3. Run the server:

    ./mcp-helm
    

Configuration

Configure your MCP client to connect to this server. The server implements the standard MCP protocol for tool discovery and execution.

Repository index caching

The index of an HTTP Helm repository is downloaded on first use and reused for -repo-index-max-age (default 5m). Once that age is exceeded, the next request downloads the index again, so newly published chart versions show up without a restart. Set -repo-index-max-age=0 to download the index on every request. OCI registries are always queried live.

Authentication

The server supports authentication for both OCI registries and HTTP Helm repositories.

Command-Line Flags
Flag Description
-username Username for basic authentication (HTTP repos, and OCI registries not covered by -registry-credentials)
-password-file Path to file containing password
-registry-credentials Path to Docker-style credentials file (e.g., ~/.docker/config.json); authoritative for the OCI registries it lists
-registry-plain-http Use plain HTTP for OCI registries (insecure, for development only)
-tls-cert Path to TLS client certificate file for HTTP repositories
-tls-key Path to TLS client key file for HTTP repositories
-tls-ca Path to CA certificate file for verifying server certificates
-tls-insecure-skip-verify Skip TLS certificate verification (insecure)
-pass-credentials-all Pass credentials to all domains when following redirects
Basic Authentication

For repositories requiring username/password authentication:

# Create a password file (recommended for security)
echo "your-password" > /path/to/password.txt
chmod 600 /path/to/password.txt

# Run with basic auth
./mcp-helm -username myuser -password-file /path/to/password.txt
OCI Registry Authentication

For private OCI registries, authentication can be configured via:

  1. Docker credentials - The server automatically uses credentials from ~/.docker/config.json
  2. Explicit credentials file - Use -registry-credentials flag
# Using Docker login (credentials stored in ~/.docker/config.json)
docker login ghcr.io
echo $GITHUB_TOKEN | docker login ghcr.io -u USERNAME --password-stdin

# Using explicit credentials file
./mcp-helm -registry-credentials /path/to/docker/config.json

# Using basic auth for OCI registry
./mcp-helm -username myuser -password-file /path/to/password.txt
Combining basic auth with a registry credentials file

A single instance can serve private HTTP repositories and private OCI registries at the same time. When both -username/-password-file and -registry-credentials are set, OCI requests are routed per registry host:

  • If the credentials file resolves a credential for the chart's registry host, that per-host credential is used (auths, credHelpers, and credsStore are all consulted, using the same Docker credential resolution as the Helm CLI, so Docker Hub's canonical https://index.docker.io/v1/ key is matched correctly).
  • Otherwise, the static -username/-password-file basic auth is used.

This lets -registry-credentials stay authoritative for the OCI registries it covers while basic auth still applies to HTTP repositories (and any OCI registry the credentials file does not resolve).

# HTTP repos use basic auth; OCI hosts in config.json use their per-host creds
./mcp-helm \
  -username myuser -password-file /path/to/password.txt \
  -registry-credentials /path/to/docker/config.json

Credentials behind an external credential store (credsStore) or per-registry helper (credHelpers) are resolved by invoking that helper binary at runtime. If the helper is not available in the runtime environment, the affected registries fall back to basic auth; a warning is logged at startup so this is visible. Routing considers only the file passed to -registry-credentials (no implicit ~/.docker/config.json fallback), so list every private OCI registry you need in that file.

TLS/mTLS Configuration

For repositories with custom TLS requirements:

# Custom CA certificate (for self-signed or internal CAs)
./mcp-helm -tls-ca /path/to/ca.crt

# Client certificate authentication (mTLS)
./mcp-helm -tls-cert /path/to/client.crt -tls-key /path/to/client.key

# Combined: mTLS with custom CA
./mcp-helm -tls-cert client.crt -tls-key client.key -tls-ca ca.crt

# Skip TLS verification (development only, not recommended for production)
./mcp-helm -tls-insecure-skip-verify
Docker Configuration

Example with Docker, passing authentication:

# With basic auth
docker run -d --name mcp-helm -p 8012:8012 \
  -v /path/to/password.txt:/secrets/password.txt:ro \
  ghcr.io/zekker6/mcp-helm:v1.3.0 \
  -mode=sse -username myuser -password-file /secrets/password.txt

# With Docker credentials
docker run -d --name mcp-helm -p 8012:8012 \
  -v ~/.docker/config.json:/root/.docker/config.json:ro \
  ghcr.io/zekker6/mcp-helm:v1.3.0 \
  -mode=sse

Observability

The server can export OpenTelemetry traces, metrics and logs over OTLP. It is disabled by default: with OTEL_ENABLED unset nothing is exported, no exporter is constructed, no provider is registered globally and no instrumentation is installed, so the binary behaves exactly as it does today.

OTEL_ENABLED is the only switch. OTEL_SDK_DISABLED is not consulted, and neither is OTEL_EXPORTER_OTLP_PROTOCOL: the wire protocol comes from the endpoint's scheme, described below.

Environment Variables
Variable Default Description
OTEL_ENABLED false Master switch. Telemetry is set up only when this holds a true-ish value (true, 1, t)
OTEL_EXPORTER_OTLP_ENDPOINT - Base endpoint for all three signals. Required when enabled, unless every per-signal endpoint is set
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT base endpoint Traces-only override, used verbatim (include the full path for HTTP)
OTEL_EXPORTER_OTLP_METRICS_ENDPOINT base endpoint Metrics-only override, used verbatim
OTEL_EXPORTER_OTLP_LOGS_ENDPOINT base endpoint Logs-only override, used verbatim
OTEL_SERVICE_NAME mcp-helm Service name reported to the collector
OTEL_RESOURCE_ATTRIBUTES - Extra resource attributes, e.g. deployment.environment.name=production
OTEL_EXPORTER_OTLP_HEADERS - Headers sent with every export, e.g. for authentication. Read by the SDK exporters
OTEL_EXPORTER_OTLP_TIMEOUT 10000 Export timeout in milliseconds. Read by the SDK exporters
OTEL_EXPORTER_OTLP_COMPRESSION - Set to gzip to compress exports. Read by the SDK exporters
OTEL_METRIC_EXPORT_INTERVAL 60000 Metric export interval in milliseconds
OTEL_EXPORTER_OTLP_METRICS_DEFAULT_HISTOGRAM_AGGREGATION base2_exponential_bucket_histogram Histogram aggregation for both OTLP transports. Set to explicit_bucket_histogram for classic buckets
OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE cumulative Counters and histograms accumulate since their start or reset. The SDK also accepts delta and lowmemory
OTEL_ATTRIBUTE_VALUE_LENGTH_LIMIT 4096 Longest span attribute value; longer ones are truncated. The SDK default is unlimited, but several values come from clients. OTEL_SPAN_ATTRIBUTE_VALUE_LENGTH_LIMIT takes precedence, and -1 lifts the cap
OTEL_EXPORTER_OTLP_CERTIFICATE system roots PEM CA bundle used to verify a https:// or grpcs:// collector. Read by the SDK exporters
OTEL_EXPORTER_OTLP_CLIENT_CERTIFICATE - PEM client certificate for mTLS to the collector. Read by the SDK exporters
OTEL_EXPORTER_OTLP_CLIENT_KEY - PEM client key for mTLS to the collector. Read by the SDK exporters

When telemetry is enabled and an endpoint is missing or malformed, the server exits non-zero with an error naming the offending variable; a typo never degrades silently into "no telemetry". With OTEL_ENABLED off the endpoint variables are not parsed at all, so a stale value in the environment cannot break startup.

Resource Attributes

The server sets service.name (from OTEL_SERVICE_NAME, else mcp-helm) and service.version itself, and reads anything else from OTEL_RESOURCE_ATTRIBUTES. The semantic conventions call for more than that, and the rest has to come from the deployment:

Attribute Where it should come from
deployment.environment.name OTEL_RESOURCE_ATTRIBUTES. Note the .name suffix - bare deployment.environment is deprecated
service.instance.id OTEL_RESOURCE_ATTRIBUTES from the downward API. Required once more than one replica runs, or every instance's series collide
service.namespace OTEL_RESOURCE_ATTRIBUTES, when other services share the backend
k8s.pod.uid and other k8s.* The Collector's k8sattributes processor, which is the supported way to add them

On Kubernetes, the first two come from the downward API:

env:
  - name: POD_NAME
    valueFrom:
      fieldRef:
        fieldPath: metadata.name
  - name: OTEL_RESOURCE_ATTRIBUTES
    value: deployment.environment.name=production,service.instance.id=$(POD_NAME)
Endpoint Schemes

The wire protocol and TLS both come from the endpoint's URL scheme:

Endpoint Protocol TLS Exports go to
grpc://collector:4317 OTLP/gRPC no collector:4317
grpcs://otel.example.com:4317 OTLP/gRPC yes otel.example.com:4317
http://collector:4318 OTLP/HTTP no http://collector:4318/v1/traces, /v1/metrics, /v1/logs
https://otel.example.com OTLP/HTTP yes https://otel.example.com/v1/traces, /v1/metrics, /v1/logs

Any other scheme is a startup error naming the four accepted schemes.

  • The base endpoint is a base URL: for HTTP the signal path (/v1/traces, /v1/metrics, /v1/logs) is appended, after trimming a trailing slash. A collector endpoint injected with a trailing slash is handled.
  • A per-signal endpoint is used verbatim, as the OTLP specification requires, so for HTTP it has to carry the full path including /v1/traces and friends.
  • gRPC endpoints keep only host:port; gRPC has no signal path, so any path is dropped.
  • The protocol is resolved per signal, so mixed configurations work: traces over gRPC while metrics and logs go over HTTP is a supported setup.
Configuration Examples

One endpoint for all three signals:

OTEL_ENABLED=true \
OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4318 \
./mcp-helm -mode=http

Traces, metrics and logs are sent to http://otel-collector:4318/v1/traces, /v1/metrics and /v1/logs. Switching that endpoint to grpc://otel-collector:4317 moves all three signals to OTLP/gRPC without any other change.

Per-signal endpoints, mixing protocols and TLS:

OTEL_ENABLED=true \
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=grpc://otel-collector:4317 \
OTEL_EXPORTER_OTLP_METRICS_ENDPOINT=https://metrics.example.com/v1/metrics \
OTEL_EXPORTER_OTLP_LOGS_ENDPOINT=https://logs.example.com/v1/logs \
OTEL_SERVICE_NAME=mcp-helm \
OTEL_RESOURCE_ATTRIBUTES=deployment.environment.name=production \
./mcp-helm -mode=http

With Docker:

docker run -d --name mcp-helm -p 8012:8012 \
  -e OTEL_ENABLED=true \
  -e OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4318 \
  ghcr.io/zekker6/mcp-helm:latest -mode=http

The OTEL_* variables are ignored by images built before OpenTelemetry support landed, so pin a tag that has it or use latest.

What Is Emitted
Traces

A tool call over HTTP produces one trace from the inbound request down to the Helm work it triggers:

POST /mcp                       (HTTP server span)
  tools/call get_chart_images   (MCP server span)
    tool.get_chart_images       (MCP tool span)
      helm.get_chart_images     (Helm operation span)
        helm.load_chart
          helm.oci.pull
        helm.parse.images

Custom telemetry names use the application-specific mcp_helm.* namespace, without a personal domain. The Helm-specific attributes below omit their mcp_helm.helm. prefix for readability; emitted names include it. OpenTelemetry naming guidance recommends avoiding collisions with standard namespaces, not a mandatory reverse-DNS prefix. Registry attributes (url.full, server.address, server.port, error.type, gen_ai.*, mcp.*, jsonrpc.*, rpc.*) are shown in full. Existing queries using the previous custom namespace must be updated; standard OTel names are unchanged.

Span Kind Attributes
<METHOD> <route> server otelhttp HTTP server semantic conventions, plus the JSON-RPC message a POST carried (below). Only in sse and http modes
<mcp method> [<tool>] server mcp.method.name, jsonrpc.request.id, gen_ai.tool.name, gen_ai.operation.name, mcp.session.id, mcp.protocol.version, network.transport, network.protocol.name, rpc.response.status_code, error.type
tool.<name> internal -
helm.list_charts internal repository.url, repository.type, chart.count
helm.list_chart_versions internal + chart.name, version.count
helm.get_latest_version internal + chart.name, chart.version (resolved)
helm.get_latest_values internal + chart.name, chart.version (resolved). Library-only; no MCP tool reaches it
helm.get_chart_values internal + chart.name, chart.version
helm.get_chart_contents internal + chart.name, chart.version, recursive
helm.get_chart_dependencies internal + chart.name, chart.version, dependency.count
helm.get_chart_images internal + chart.name, chart.version, recursive, image.count
helm.load_chart internal repository.type, chart.name, chart.version
helm.oci.pull client oci.ref, server.address, server.port
helm.oci.tags client oci.ref, server.address, server.port
helm.repo.index client repository.url, server.address, server.port
helm.chart.download client url.full, server.address, server.port
helm.parse.images internal recursive
helm.parse.contents internal recursive

A failing span is marked with an ERROR status, records the exception and carries error.type. URL attributes are sanitized: user:password@ userinfo is stripped before a repository, OCI or chart URL becomes a span attribute.

The helm.chart.download span reports url.full because the chart URL is the exact resource fetched. helm.repo.index does not: the Helm getter resolves the index path itself, so the URL this server holds is not the one requested.

The MCP server span follows the MCP semantic conventions: it is named {mcp.method.name} {target}, such as tools/call get_chart_values, tools/list or ping. Only a registered tool becomes the target, since the client picks the name; an unregistered one still reaches gen_ai.tool.name. A method mcp-go does not implement is recorded as mcp.method.name=_OTHER on a span named MCP, the way HTTP instrumentation treats an unknown method, so a client cannot mint a span name per request. The server traces through its own adapter for mcp-go's tracing interface rather than github.com/mark3labs/mcp-go/otel, and leaves out the mcp.method and mcp.tool.name keys mcp-go sets: the registry defines neither. Unknown-method spans currently omit jsonrpc.request.id because mcp-go does not expose the ID to the tracer or error hooks on that path. The deferred fix requires upstream API support.

mcp.protocol.version records the request's effective version only when mcp-go recognizes it. Unsupported metadata values and raw protocol headers are not copied into spans or metrics. network.transport is tcp in sse and http modes, alongside network.protocol.name=http, and pipe in stdio mode.

A request answered with a JSON-RPC error carries the code in rpc.response.status_code. The conventions attribute -32700, -32600, -32601, -32602 (which includes an unknown tool) and -32002 to the caller, so those leave error.type unset and the span status UNSET. Any other code sets error.type to the code and the status to ERROR, described by the JSON-RPC error message. A tool handler that reported the failure to its caller rather than returning an error sets error.type to tool_error, also with an ERROR status.

Each recording POST span also records which JSON-RPC message its body carried, as mcp_helm.jsonrpc.message.kind (request, notification or response). A notification adds mcp.method.name, _OTHER for a method the registry does not list, and a response adds jsonrpc.request.id. mcp-go opens an MCP span only for the requests it dispatches, so for notifications and for a client's replies to server pings, which are most of the POSTs an idle session sends, the HTTP span is the only record. A request's method and id stay on its MCP span, so a query on them counts each request once. Annotation capture is limited to 64 KiB; larger bodies are not parsed or annotated. Nonrecording spans skip capture entirely. These limits affect telemetry only: the transport still receives the original body and read errors.

Incoming W3C traceparent / tracestate headers are honoured in sse and http modes, so a tool call joins the caller's trace instead of starting a new one. Trace context a client puts in a request's params._meta (SEP-414) parents the MCP server span in every mode, stdio included, since the conventions make the MCP client span its parent. When this replaces an existing transport context, the MCP span links to that context, preserving the connection to the HTTP span even across different traces. Absent or invalid metadata keeps the existing parent without an extra link. Without either, each MCP request in stdio mode is a root span.

Metrics
Metric Kind Unit Attributes
mcp.server.operation.duration histogram s mcp.method.name, gen_ai.tool.name, gen_ai.operation.name, mcp.protocol.version, network.transport, network.protocol.name, rpc.response.status_code, error.type
mcp_helm.helm.operation.duration histogram s …helm.operation, …helm.repository.type, error.type
http.server.* from otelhttp - http.server.request.duration, http.server.request.body.size, http.server.response.body.size. sse/http modes only
go.* from the OTel runtime instrumentation - Go runtime memory, GC and goroutine metrics

mcp.server.operation.duration is the histogram the MCP semantic conventions define for the receiving side. It covers every request mcp-go opens a span for, from receipt until the response is ready, including the ones it answers with an error. Notifications are not measured, and neither is a message mcp-go refuses before that point (malformed JSON, a wrong jsonrpc version), since neither gets a span.

All histograms, including MCP, Helm, HTTP and runtime histograms, default to base-2 exponential aggregation over both OTLP/HTTP and OTLP/gRPC. Buckets adapt to the recorded values, with a maximum of 160 buckets per positive or negative range and a maximum scale of 20. Metrics use cumulative temporality by default: repeated exports retain previous observations rather than reporting only the latest interval. Process restarts reset the cumulative values.

The standard environment variables above can override either default independently. When explicit aggregation is selected, the MCP and Helm duration histograms use the recommended boundaries from 10 ms to 300 s. Ensure your Collector and backend accept exponential histograms; queries that require classic _bucket series may need updating.

error.type is absent on success, which is what the conventions specify - do not filter on an ok value, filter on the attribute being unset. On mcp.server.operation.duration it matches the span: the JSON-RPC error code unless the conventions attribute that code to the caller, or tool_error for a tool handler that reported the failure to its caller (mcp-go delivers that as a successful response carrying an error result). A panicking tool handler is answered with -32603. On mcp_helm.helm.operation.duration it holds the Go error type. Rates of the histograms' count values provide call rates, so there is no separate counter.

Helm operations nest, and each level records its own point: get_latest_values wraps get_latest_version and get_chart_values, and any tool call that omits chart_version records get_latest_version before the operation it was asked for. Filter by mcp_helm.helm.operation rather than summing histogram counts across operations, or one logical call is counted more than once.

Metric attributes are deliberately low cardinality: repository URLs, chart names and chart versions appear on spans only, never on a metric. gen_ai.tool.name is recorded for registered tools only and mcp.method.name falls back to _OTHER, so neither carries an arbitrary string from a client. Protocol versions are restricted to mcp-go's supported versions. On the http.server.* metrics, server.address and server.port report -httpListenAddr rather than the request's Host header, so an unauthenticated probe varying that header cannot open a series per value.

Logs

With telemetry enabled, log records are teed to the OTLP log exporter in addition to stderr. Both sinks honour -logLevel, so raising it keeps the filtered records off the wire as well as out of stderr. Each tool call also logs one INFO record with the tool name, duration and, on failure, error.type. That record describes the handler rather than the JSON-RPC response: a returned error is named by its Go type, a failure reported to the caller is tool_error, and a panic is _OTHER.

Every record emitted from a traced call site is correlated with its span, so logs, traces and metrics line up in the backend. The two sinks carry that correlation differently: the stderr line gets trace_id and span_id fields, while the exported record gets the log data model's own trace id fields, which the SDK fills in from the emitting context. The ids are stripped from the exported record's attributes so they are not on the wire twice.

Limitations

Two things are deliberately not instrumented:

  • No outbound HTTP client spans. Helm's SDK builds its own request contexts internally and its transport option takes a concrete *http.Transport, so an instrumented HTTP client would emit orphaned root spans disconnected from the tool's trace. Outbound work is covered by the manual helm.repo.index, helm.chart.download, helm.oci.pull and helm.oci.tags client spans instead.
  • Long-lived stream requests are excluded from HTTP traces and metrics. The GET /sse request in sse mode and the GET /mcp request in http mode stay open for the life of the client session. Tracing them would produce hours-long spans and put session durations into the request-latency histogram, so both are filtered out. The JSON-RPC requests carried over those sessions are traced normally.

Shutdown

On SIGTERM or SIGINT the server stops accepting new work, drains in-flight requests within 10 seconds and then flushes buffered telemetry within 5, so a client that never disconnects or a collector that never answers cannot keep the process alive. The budgets are separate on purpose: a drain that runs long cannot spend the time the flush needs. A second signal terminates immediately.

Give the process room to finish: set terminationGracePeriodSeconds (or docker stop -t) to at least 20 seconds, or the spans and log records buffered at the moment of the signal are lost.

A transport that fails to start - a port already in use, an unusable listen address - is logged as fatal and exits with status 1.

Roadmap

  • OpenTelemetry instrumentation (traces, metrics and logs over OTLP)
  • Add more tools
    • List all charts in a repository
    • List all versions of a chart
    • Get latest version of the chart
    • Get values for chart
    • Get values for the latest version of the chart
    • Extract full chart content
    • Extract dependant charts from Charts.yaml
    • Extract images used in chart
  • Support OCI registries
    • Pull charts from OCI registries
    • List tags/versions from OCI registries
    • Support authentication via Docker credentials
  • Support using private HTTP repositories
    • Add a way to provide credentials for HTTP basic auth

Directories

Path Synopsis
cmd
mcp-helm command
internal
lib
telemetry
Package telemetry owns the OpenTelemetry SDK setup for mcp-helm.
Package telemetry owns the OpenTelemetry SDK setup for mcp-helm.

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