MCP For Claude Marketplace
Portkey

Portkey MCP Connector for Claude

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AI gateway observability: monitor logs, costs, and manage LLM configurations via agents.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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What you can do

Connect AI agents to the Portkey AI Gateway for enterprise-grade observability and management:

  • Monitor logs and traces of all LLM calls passing through your gateway
  • Analyze token usage, latency, and costs across models and teams
  • Submit feedback (Likes/Dislikes) to improve model quality and agent performance
  • Export logs for audit trails, compliance, and offline cost analysis
  • Review gateway configurations including retry policies, fallbacks, and cache settings
  • Manage virtual keys to track provider API key usage and limits
  • Discover supported models from 1,600+ LLMs available via Portkey
  • Enforce budget policies to prevent runaway AI costs per team or project

How it works

  1. Get your Portkey API key from the dashboard Settings
  2. Ask your AI agent to check usage, review costs, or manage policies
  3. Natural language commands replace manual Portkey dashboard navigation
  4. Unified observability across all your LLM providers (OpenAI, Anthropic, Google, etc.)

Who is this for?

Essential for AI platform engineers, LLM ops teams, FinOps analysts, AI governance officers, and engineering managers using multiple LLM providers. Let AI agents monitor gateway health, identify cost spikes, enforce budget policies, and optimize routing. Perfect for organizations spending $10k+/month on LLMs who need granular visibility into usage, latency, and model performance across the enterprise.

llm-gatewayai-observabilitytoken-trackingcost-managementmodel-routingprompt-engineering

10 tools expose this connector's capabilities to your AI agent.

create_policy

Requires policy name, budget limit (USD or token count), and optionally the target users or virtual keys to restrict. Returns the created policy details. Use this to enforce cost controls on specific teams or projects using the gateway. Create a new budget or usage policy for AI gateway access

delete_policy

Requires the policy ID. Use this when a project ends or budget constraints are no longer needed. Remove a budget or usage policy from Portkey

export_logs

Optionally filters by date range, model, or user. Returns an export ID or download URL. Use this for audit trails, cost reporting, or offline analysis of AI usage patterns. Export AI gateway logs for external analysis or compliance reporting

get_log_details

Requires the log ID from list_logs results. Use this for deep debugging of specific AI interactions. Get detailed information about a specific AI gateway log entry

get_virtual_keys

Virtual keys map to underlying provider keys (OpenAI, Anthropic, etc.) with metadata, usage limits, and policy associations. Returns key IDs, names, provider targets, current usage, and status. Use this to audit API key usage or identify keys approaching limits. List all virtual API keys managed by Portkey

list_configs

Returns config IDs, names, creation dates, and associated virtual keys. Use this to review how LLM requests are routed or to audit gateway behavior. List all gateway configurations stored in Portkey

list_logs

Returns log IDs, timestamps, model names, token usage, latency, costs, and status codes. Use this to monitor AI usage, identify expensive calls, or debug latency issues. Supports pagination via limit/offset. List recent AI gateway logs and traces from Portkey

list_models

). Returns model names, provider names, supported endpoints (chat, embeddings, etc.), and capabilities. Use this to discover which models are routable via your gateway. List all LLM models supported by the Portkey gateway

list_policies

Returns policy names, limits, current consumption, and affected users/keys. Use this to review guardrails preventing runaway AI costs. List all budget and usage policies defined in Portkey

submit_feedback

Requires the log ID, rating (LIKE, DISLIKE, or UNLIKE to remove), and optional text feedback. Use this to build RLHF datasets or monitor user satisfaction with AI outputs. Submit user feedback (Like/Dislike) for a specific AI response log

See how to talk to your AI agent using Portkey.

Show me the most expensive LLM calls from the last 24 hours

I'll retrieve recent gateway logs and sort them by cost to identify the top spenders.

Create a budget policy limiting the Marketing team to $500/month on LLM usage

I'll create a policy with a $500 monthly budget target for the Marketing virtual keys.

Export all logs from last week for our compliance audit

I'll trigger a log export for the last 7 days in JSON format for your records.

Portkey supports 1,600+ LLMs including OpenAI, Anthropic, Google, Mistral, Azure OpenAI, AWS Bedrock, Cohere, Hugging Face, and many more. Use the list_models tool to see the full catalog available via your gateway.

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