mcp

Production MCP, governed & observable

A unified layer to access and govern MCP tools, without modifying your agents or servers. Self-host, deploy to your cloud, or run fully managed.

The missing control plane for MCP

Portkey's MCP Gateway brings authentication, access control, visibility, and policy enforcement to MCP, without changing your agents or MCP servers.

Built-in support for every auth type

Support for OAuth 2.1, API Tokens, Header Auth. Fully configurable

Central registry for servers and tools

View available servers and tools in one place

Fine-grained access control for servers and tools

RBAC for org, workspace, team, or individual user, scope access precisely

End-to-end observability for agent workflows

Get unified traces and see exactly which tools an agent called

Usage and performance analytics

Track request volume, latency, and errors across MCP traffic.

Runtime policy enforcement

Enforce PII redaction, content filtering, and compliance policies in one place

Works with your stack

Portkey's MCP Gateway integrates with the agent frameworks, identity providers, guardrails, and tools you already use.

One interface for all your MCP servers

Expose internal MCP tools without exposing credentials
Scale MCP access across your org
Bring vendor tools under your governance

What you can build

Connect, govern, and share MCP tools from multiple servers across teams in your organization.

Build your enterprise AI context platform

Secure by design
One control plane for LLMs and MCP

Integrate with Portkey's AI Gateway to manage your models and tools together. Unified observability and policy.

Open-source and community-driven

Built in the open with hundreds of contributors. Inspect the code, shape the roadmap, and deploy with confidence.

Trusted by Fortune 500s & Startups

Portkey is easy to set up, and the ability for developers to integrate with LLMs is great. Overall, it has significantly sped up our development process.

Patrick L, Founder and CPO, QA.tech

With 30 million policies a month, managing over 25 GenAI use cases became a pain. Portkey helped with prompt management, tracking costs per use case, and ensuring our keys were used correctly. It gave us the visibility we needed into our AI operations.

Prateek Jogani, CTO, Qoala

Portkey stood out among AI Gateways we evaluated for several reasons: excellent, dedicated support even during the proof of concept phase, easy-to-use APIs that reduce time spent adapting code for different models, and detailed observability features that give deep insights into traces, errors, and caching.

AI Leader, Fortune 500 Pharma Company

Portkey is a no-brainer for anyone using AI in their GitHub workflows. It has saved us thousands of dollars by caching tests that don't require reruns, all while maintaining a robust testing and merge platform. This prevents merging PRs that could degrade production performance.

Kiran Prasad, Senior ML Engineer, Ario

Well done on creating such an easy-to-use and navigate product. It’s much better than other tools we’ve tried, and we saw immediate value after signing up. Having all LLMs in one place and detailed logs has made a huge difference. The logs give us clear insights into latency and help us identify issues much faster.

Oras Al-Kubaisi, CTO, Figg

Latest guides and resources

Strategic Perspective on the MCP Registry for Enterprise

While the registry enables public discovery, realizing MCP’s value depends on designing for enterprise complexity.

The hidden challenge of MCP adoption in enterprises in 2025

MCP servers are multiplying at an overwhelming pace and at scale, they create an invisible sprawl.

MCP Server Ecosystem

A map of MCP servers, from reference implementations to community contributions.

Bring your MCP-powered agents to production

Portkey is a comprehensive platform designed to streamline and enhance AI integration for developers and organizations.