Best AI Gateways for Model Context Protocol (MCP)
View:
Compare the Top AI Gateways that integrate with Model Context Protocol (MCP) as of September 2025
Sort By:
This a list of AI Gateways that integrate with Model Context Protocol (MCP). Use the filters on the left to add additional filters for products that have integrations with Model Context Protocol (MCP). View the products that work with Model Context Protocol (MCP) in the table below.
What are AI Gateways for Model Context Protocol (MCP)?
AI gateways, also known as LLM gateways, are advanced systems that facilitate the integration and communication between artificial intelligence models and external applications, networks, or devices. They act as a bridge, enabling AI systems to interact with different data sources and environments, while managing and securing data flow. These gateways help streamline AI deployment by providing access control, monitoring, and optimization of AI-related services. They often include features like data preprocessing, routing, and load balancing to ensure efficiency and scalability. AI gateways are commonly used in industries such as healthcare, finance, and IoT to improve the functionality and accessibility of AI solutions. Compare and read user reviews of the best AI Gateways for Model Context Protocol (MCP) currently available using the table below. This list is updated regularly.
-
1
TensorBlock
TensorBlock
TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.Starting Price: Free -
2
Axway Amplify
Axway
To become the hero, not the roadblock, many IT departments are investing in integration platforms that let users accomplish projects themselves, instead of waiting for an IT specialist. Whether it’s cutting the budget, struggling to get to the cloud, or tackling a growing project backlog, IT is challenged like never before. To become the hero, not the roadblock, many IT organizations are investing in platforms that let users accomplish projects themselves, instead of waiting for an IT specialist. Axway Amplify Platform is the enterprise integration platform that that can hide integration complexity, enforce IT policy, and scale at will, enabling your teams to: Stop repetitive one-off integrations, and focus on reusable integrations that can be leveraged by wider internal and external teams. Gain cloud cost savings and increase scale by moving on-premises integration silos to the cloud, or by leveraging them in place with hybrid deployment, and much more.
- Previous
- You're on page 1
- Next