Portkey AI Gateway MCP Server

MCP server for Portkey — the AI gateway providing unified access to 250+ LLMs with built-in observability, caching, fallbacks, and load balancing. Enables AI agents to route requests through Portkey's intelligent gateway — getting automatic retry, provider failover, prompt caching, and full observability across any LLM provider.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning portkey ai-gateway llm-ops observability routing multi-llm mcp-server
⚙ Agent Friendliness
76
/ 100
Can an agent use this?
🔒 Security
82
/ 100
Is it safe for agents?
⚡ Reliability
74
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
78
Error Messages
75
Auth Simplicity
82
Rate Limits
75

🔒 Security

TLS Enforcement
95
Auth Strength
82
Scope Granularity
72
Dep. Hygiene
75
Secret Handling
85

LLM prompts and responses pass through Portkey. SOC2. Virtual keys protect provider credentials. Review prompt data retention.

⚡ Reliability

Uptime/SLA
80
Version Stability
72
Breaking Changes
68
Error Recovery
75
AF Security Reliability

Best When

An agent developer wants a unified gateway for multiple LLM providers — getting automatic failover, caching, cost tracking, and observability across OpenAI, Anthropic, Gemini, and others from a single endpoint.

Avoid When

Data sovereignty requires no intermediary. FINANCIAL RISK: LLM costs via gateway can accumulate quickly — implement usage limits and monitoring.

Use Cases

  • Routing LLM requests through Portkey gateway for automatic failover from agent orchestration layers
  • Accessing observability logs and LLM usage analytics from monitoring agents
  • Managing virtual keys and LLM provider routing from API governance agents
  • Implementing semantic caching for agent workflows to reduce LLM costs

Not For

  • Direct LLM provider access without routing/observability needs (use provider APIs directly)
  • High-security environments where data must not pass through third-party gateways
  • Non-LLM workloads

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Portkey API key authentication. Virtual keys for underlying LLM providers — never expose raw provider keys to agents. Portkey manages provider credentials.

Pricing

Model: freemium
Free tier: Yes
Requires CC: No

Portkey charges on top of LLM provider costs. Overhead is small vs. value of observability and routing.

Agent Metadata

Pagination
cursor
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • FINANCIAL RISK: All LLM costs route through Portkey — monitor usage across all provider calls
  • Data passes through Portkey servers — not suitable for air-gapped or high-security data
  • Virtual keys abstract provider credentials — agents never see raw API keys
  • Prompt logs stored in Portkey — review data retention policies for sensitive prompts
  • Community MCP — verify against latest Portkey API version

Alternatives

Full Evaluation Report

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Scores are editorial opinions as of 2026-03-07.

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