GCP Platform Engineer vs Portkey Admin MCP
A side-by-side look at the GCP Platform Engineer and Portkey Admin MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose GCP Platform Engineer for cloud platforms work as a local process; choose Portkey Admin MCP for cloud platforms as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose GCP Platform Engineer when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
PLATFORM_MCP_CONFIG, PLATFORM_MCP_ENVIRONMENTS, PLATFORM_MCP_DEFAULT_ENVIRONMENT, GOOGLE_APPLICATION_CREDENTIALS. - You want tools like
list_environments, query_logs, get_recent_errors.
Choose Portkey Admin MCP when
- You need dedicated capabilities in the Cloud Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
PORTKEY_API_KEY, PORTKEY_TOOL_DOMAINS. - You want tools like
list_all_users, invite_user, get_user_stats.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Cloud Platforms | Cloud Platforms |
| Quality signal | 59/100 · Good | 65/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | PLATFORM_MCP_CONFIGPLATFORM_MCP_ENVIRONMENTSPLATFORM_MCP_DEFAULT_ENVIRONMENTGOOGLE_APPLICATION_CREDENTIALS | PORTKEY_API_KEYPORTKEY_TOOL_DOMAINS |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 6 |
| Directory activity | 2 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 16 | 181 |
| Full listing | View GCP Platform Engineer | View Portkey Admin MCP |
Tools & capabilities
GCP Platform Engineer tools 16
list_environmentsList the GCP environments this server can query and which is the default. Pass one of the returned names as the `environment` argument of any other tool to target that project (e.g. environment='production'). Omitting the argument uses the default environment shown here. Common shorthands such as 'prod' and 'stg' are accepted, as is a bare project id.query_logsQuery Cloud Logging with an advanced-filter expression. Args: filter: Cloud Logging advanced filter (e.g. 'severity>=WARNING AND resource.type="cloud_run_revision"'). Leave empty to match all logs. freshness: How far back to look, e.g. '30m', '1h', '2d'. Default '1h'. limit: Maximum number of entries to return (newest first). environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment. Call list_environments to see what is configured.get_recent_errorsReturn recent log entries at severity ERROR or higher. Args: service: Optional service name to narrow to (matched against resource.labels.service_name and logName). hours: How many hours back to search. Default 1. limit: Maximum number of entries to return (newest first). environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.list_error_groupsList grouped application errors from Error Reporting with counts. Args: hours: Lookback window; snapped to the nearest supported period (1h, 6h, 1d, 1w, 30d). Default 24. service: Optional service name filter (Error Reporting "service" label). limit: Maximum number of error groups to return (most frequent first). environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.query_metricQuery a Cloud Monitoring metric time series. Args: metric_type: Metric type, e.g. 'compute.googleapis.com/instance/cpu/utilization'. resource_filter: Optional extra filter, e.g. 'resource.labels.instance_id="123"'. window: How far back to query, e.g. '1h', '6h', '1d'. Default '1h'. aligner: Aggregation across the alignment period: MEAN, MAX, MIN, SUM, COUNT, RATE, PERCENTILE_99. Default MEAN. alignment_period: Bucket size for aggregation, e.g. '1m', '5m'. Default '5m'. limit: Maximum number of time series to return. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.list_alert_policiesList Cloud Monitoring alert policies and whether they are enabled. Args: limit: Maximum number of policies to return. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.list_uptime_checksList Cloud Monitoring uptime check configurations. Args: limit: Maximum number of uptime checks to return. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.list_cost_recommendationsAggregate GCP cost-optimization recommendations (idle/rightsizing/etc). Fans out the cost recommenders across the locations where the project has resources. Recommenders/locations that are empty or not enabled are skipped. Args: locations: Optional comma-separated zones/regions to scan (e.g. 'us-central1,us-central1-a'). If empty, auto-discovers from Asset Inventory (requires the Cloud Asset API). limit_per_call: Max recommendations to pull per recommender+location. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.list_recommendationsList recommendations from a specific recommender at a specific location. Args: recommender_id: Recommender id, e.g. 'google.compute.instance.MachineTypeRecommender' or 'google.iam.policy.Recommender'. location: Zone (e.g. 'us-central1-a'), region (e.g. 'us-central1'), or 'global' depending on the recommender. Default 'global'. limit: Maximum number of recommendations to return. environment: Which configured GCP environment to query, e.g. 'staging' or 'production'. Omit to use the default environment.get_cost_breakdownSummarize recent spend from the BigQuery billing export. By default this reports spend for the selected environment's project only. A billing export table covers every project on the billing account, and several environments commonly share one table, so an unfiltered query would return identical account-wide totals for staging and production. Only the environment holding the export needs 'billing_export_table' set: one billing account exports to one project, and that export already covers every project on the account. Asking any other environment for costs returns an error naming the one that has it. Args: group_by: One of 'service', 'sku', 'project', 'region'. Default 'service'. days: Lookback window in days over usage_start_time. Default 30. limit: Max rows returned (highest net cost first). all_projects: Report the whole billing account instead of just this environment's project. Pair with group_by='project' to compare projects; the totals then are not specific to this environment. environment: Which configured GCP environment to bill against, e.g. 'staging' or 'production'. Omit to use the default environment.get_billing_infoReturn the billing account linked to the project and its status. Args: environment: Which configured GCP environment to inspect, e.g. 'staging' or 'production'. Omit to use the default environment.search_assetsSearch all cloud resources in the project via Cloud Asset Inventory. Args: asset_types: Optional comma-separated asset types to filter, e.g. 'compute.googleapis.com/Instance,run.googleapis.com/Service'. query: Optional free-text/structured query, e.g. 'state:RUNNING' or 'location:us-central1'. limit: Maximum number of resources to return. Default 50; raise it when you know you need a full inventory, since each resource costs context. include_labels: Include resource labels. Off by default because deployment labels are usually the largest part of the response and rarely answer the question being asked. environment: Which configured GCP environment to search, e.g. 'staging' or 'production'. Omit to use the default environment. Call list_environments to see what is configured.- +4 more on the listing page
Portkey Admin MCP tools 181
list_all_usersList accepted org users with id, name, email, role, and timestamps. Use this to find a user_id before get_user, update_user, delete_user, or add_workspace_member; use list_user_invites for pending invitations. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.invite_userInvite a new org user and optionally provision workspace access and an API key in one call. Workspace assignments apply only after acceptance; use add_workspace_member or update_workspace_member later for follow-up changes.get_user_statsReturn per-user request and cost analytics for a required time range. This is usage-by-user, not population metrics; use get_users_analytics for active-user or cohort trends. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.get_userGet one accepted user by id and return their profile, role, and timestamps. Use list_all_users to find the id if you only have a name or email, and get_user_invite for pending invitations. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.update_userUpdate a user's first name, last name, or organization role by id. Email and workspace roles are not editable here; use update_workspace_member for workspace membership changes.delete_userDelete a user from the org by id. This is permanent, removes org and workspace memberships, revokes API keys, and ends active sessions; use delete_user_invite for pending invites instead.list_user_invitesList pending and sent invitations with id, email, role, status, and expiry. Use this to check invite state; use list_all_users for users who already accepted. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.get_user_inviteGet one invitation by invite id and return its email, role, status, and expiry. Use this for pending invites only; use get_user for accepted users.delete_user_inviteDelete a pending invite and revoke its invite link. This does not affect existing users; use delete_user for full user removal.resend_user_inviteResend the email for a pending invite that has not been accepted, unlike invite_user which creates a new invite. This sends a fresh email without modifying the invite record, expiry, or role; use get_user_invite first if you are unsure whether the invite still exists and list_user_invites to discover invite_ids.list_scim_workspace_mappingsList identity-provider SCIM group mappings that automatically grant Portkey workspace roles. Use it to audit provisioned access or obtain mapping_id before delete_scim_workspace_mapping; filter by workspace, group, or role and page through large directories. This reads mappings only and does not query individual workspace members. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.create_scim_workspace_mappingMap one identity-provider SCIM group to a Portkey workspace role so current and future group members receive access automatically. Provide exactly one of scim_group_id or scim_group_name; a name can pre-create the Portkey SCIM group before the IdP provisions it. Use list_scim_groups to discover existing groups and list_workspaces for the workspace ID. This changes access provisioning and is distinct from add_workspace_member, which grants one user directly. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.- +169 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
GCP Platform Engineer
{
"mcpServers": {
"gcp-platform-engineer": {
"command": "uvx",
"args": [
"platform-mcp"
],
"env": {
"PLATFORM_MCP_CONFIG": "YOUR_PLATFORM_MCP_CONFIG_HERE",
"PLATFORM_MCP_ENVIRONMENTS": "YOUR_PLATFORM_MCP_ENVIRONMENTS_HERE",
"PLATFORM_MCP_DEFAULT_ENVIRONMENT": "YOUR_PLATFORM_MCP_DEFAULT_ENVIRONMENT_HERE",
"GOOGLE_APPLICATION_CREDENTIALS": "YOUR_GOOGLE_APPLICATION_CREDENTIALS_HERE"
}
}
}
}
Portkey Admin MCP
{
"mcpServers": {
"s-b-e-n-s-o-n-portkey-admin-mcp": {
"command": "npx",
"args": [
"-y",
"portkey-admin-mcp"
],
"env": {
"PORTKEY_API_KEY": "YOUR_PORTKEY_API_KEY_HERE",
"PORTKEY_TOOL_DOMAINS": "YOUR_PORTKEY_TOOL_DOMAINS_HERE"
}
}
}
}
Frequently asked questions
GCP Platform Engineer is categorized under Cloud Platforms and uses a local stdio subprocess. Portkey Admin MCP belongs to Cloud Platforms and uses a local stdio subprocess. Pick GCP Platform Engineer for cloud platforms work and Portkey Admin MCP for cloud platforms.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
GCP Platform Engineer has no declared pricing — check the project's own site. Portkey Admin MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add gcp-platform-engineer and s-b-e-n-s-o-n-portkey-admin-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, GCP Platform Engineer has a quality signal of 59/100 (Good) with 2 views, 0 installs and 2 GitHub stars. Portkey Admin MCP has 65/100 (Great) with 3 views, 0 installs and 6 GitHub stars.