Compare the Top MCP Gateways that integrate with Pinecone as of September 2026

This a list of MCP Gateways that integrate with Pinecone. Use the filters on the left to add additional filters for products that have integrations with Pinecone. View the products that work with Pinecone in the table below.

What are MCP Gateways for Pinecone?

MCP gateways act as secure intermediaries that connect AI models with external tools, data sources, and services using the Model Context Protocol (MCP). They manage authentication, permissions, and request routing to ensure controlled and reliable access to contextual data. The gateways standardize how models discover, invoke, and interact with tools across different environments. Many MCP gateways include monitoring, logging, and policy enforcement features to maintain security and compliance. By centralizing tool access and context delivery, MCP gateways enable scalable, interoperable, and safer AI integrations. Compare and read user reviews of the best MCP Gateways for Pinecone currently available using the table below. This list is updated regularly.

  • 1
    Cyclr

    Cyclr

    Cyclr

    Cyclr is an embedded integration toolkit (embedded iPaaS) for creating, managing and publishing white-labelled integrations directly into your SaaS application. With a low-code, visual integration builder and a fully featured unified API for developers, all teams can impact integration creation and delivery. Flexible deployment methods include an in-app Embedded integration marketplace, where you can push your new integrations live, for your users to self serve, in minutes. Cyclr's fully multi-tenanted architecture helps you scale your integrations with security fully built in - you can even opt for Private deployments (managed or in your infrastructure). Accelerate your AI strategy by Creating and publishing your own MCP Servers too, so you can make your SaaS usable inside LLMs. We help take the hassle out of delivering your users' integration needs.
    Starting Price: $1599 per month
  • 2
    MCPTotal

    MCPTotal

    MCPTotal

    MCPTotal is a secure, enterprise-grade platform designed to manage, host, and govern MCP (Model Context Protocol) servers and AI-tool integrations in a controlled, audit-ready environment rather than letting them run ad hoc on developers’ machines. It offers a “Hub”, a centralized, sandboxed runtime environment where MCP servers are containerized, hardened, and pre-vetted for security. A built-in “MCP Gateway” acts like an AI-native firewall: it inspects MCP traffic in real time, enforces policies, monitors all tool calls and data flows, and prevents common risks such as data exfiltration, prompt-injection attacks, or uncontrolled credential usage. All API keys, environment variables, and credentials are stored securely in an encrypted vault, avoiding the risk of credential-sprawl or storing secrets in plaintext files on local machines. MCPTotal supports discovery and governance; security teams can scan desktops and cloud instances to detect where MCP servers are in use.
    Starting Price: Free
  • 3
    Kong AI Gateway
    ​Kong AI Gateway is a semantic AI gateway designed to run and secure Large Language Model (LLM) traffic, enabling faster adoption of Generative AI (GenAI) through new semantic AI plugins for Kong Gateway. It allows users to easily integrate, secure, and monitor popular LLMs. The gateway enhances AI requests with semantic caching and security features, introducing advanced prompt engineering for compliance and governance. Developers can power existing AI applications written using SDKs or AI frameworks by simply changing one line of code, simplifying migration. Kong AI Gateway also offers no-code AI integrations, allowing users to transform, enrich, and augment API responses without writing code, using declarative configuration. It implements advanced prompt security by determining allowed behaviors and enables the creation of better prompts with AI templates compatible with the OpenAI interface.
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