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Categories / MCP & Agent Integration Infrastructure

2 · First Voyage

MCP & Agent Integration Infrastructure

Gateways, registries, and runtime infrastructure that sit between AI agents and the tools/data they call via the Model Context Protocol (MCP) -- providing discovery, authentication, policy enforcement, and observability for agent-to-tool traffic.

Last updated October 27, 2026

Our read

Anthropic released the Model Context Protocol (MCP) in 2024. Within about a year, at least five venture-backed startups were building the gateways, registries and runtimes that sit between AI agents and the tools they call. Before MCP, teams connected agents to tools through API gateways like Kong and Apigee or integration platforms like Zapier and Workato. None of them supported MCP's tool discovery, so teams wrote glue code that broke whenever an agent or server changed. We count 60+ active companies and no unicorns, and the largest round is Obot AI's $35M seed in 2025. Kong, Microsoft, IBM and Docker have all put out their own MCP tools as well.

Open question for founders

Every company in this category builds on a spec it doesn't write. If your product depends on a standard you don't control, what's still yours after the next release?

By the numbers

Companies tracked
10
As of November 9, 2026
Years since the term went mainstream
1
As of October 12, 2026
Most common pricing model
No single model
flat rate 4hybrid 3per seat 3
n = 10 companies with a public pricing model · as of November 6, 2026
Tracked companies that raised a round
2
2024
3
2025
3
2026 so far
Out of 10 tracked companies, including public and acquired ones · as of November 1, 2026

How they talk about AI

Homepage language about AI
9 of 10 companies pitch AI agents on their homepage.
Not mentioned 0Implied 0AI 1AI agents 9

Of the 9 pitching agents with public pricing, 3 still price per seat.

How we classify

We read each company's homepage headline and subheadline against a fixed word list; the most explicit match wins. Not mentioned: no AI language at all. Implied: automated, intelligent, smart or autopilot, without saying AI. AI: AI, machine learning, LLM or generative. AI agents: agents, agentic, autonomous or digital workers.This reads positioning, not product: a company with a strong AI product counts as "not mentioned" if its homepage doesn't say so. Homepages are re-read every month.

n = 10 companies · as of November 1, 2026

In their own words

  • Arcade.dev
    “Govern every action for every AI agent”

    Arcade is the actions runtime between your agents and every system they reach. One control point to enforce, execute, and govern every action, every time. Teams keep shipping. Security stays in control.

  • Composio
    “Give your AI secure access to 1,500+ apps in minutes”

    Make your AI finish what you ask. Composio gives it the right tools, access to your accounts, and skills that already work, so it gets it right the first time.

  • IBM
    “ContextForge”

    An open source registry and proxy that federates MCP, A2A, and REST/gRPC APIs with centralized governance, discovery, and observability. Optimizes Agent & Tool calling, and supports plugins.

  • Kong
    “AI Connectivity for the agentic era”

    Secure, manage, speed up, monetize, and cost-control every LLM, MCP, event, and API request.

  • Lunar.dev
    “Beyond an MCP Gateway: Control every AI interaction across your enterprise”

    A unified, enterprise-grade gateway to secure and govern all AI applications and agents

  • Manufact
    “The cloud for production MCP”

    Get on ChatGPT and Claude plugin stores, understand how agents use them and test every release across clients and harnesses.

  • Microsoft
    “Microsoft Entra Agent ID”

    Manage, govern, and protect agent identities and their access to resources—just as you do for employees—with identity, lifecycle, and access controls, now available in Microsoft Agent 365.

  • Mintive
    “Give every team agents they can trust”

    Every agent gets the models, tools, and data it needs to work alongside your team. Mintive connects them through one platform that governs access by role and records every action.

  • TrueFoundry
    “The Enterprise AI Gateway for LLMs, MCPs & Agents”

    On-prem, VPC, hybrid, or public cloud

  • Zapier
    “Welcome to automation in the agentic era”

    Start building in your favorite AI tool, then run and govern trusted workflows on Zapier.

Homepage headline and subheadline as of November 1, 2026.

Stage history

  1. First Voyagerecorded October 12, 2026

Companies we track

Leaders

Challengers

Pioneers

Incumbents

FAQ

What is MCP & Agent Integration Infrastructure?

Gateways, registries, and runtime infrastructure that sit between AI agents and the tools/data they call via the Model Context Protocol (MCP) -- providing discovery, authentication, policy enforcement, and observability for agent-to-tool traffic.

How mature is the MCP & Agent Integration Infrastructure category?

We place it in stage 2, First Voyage. A few pioneers are sailing the same route. The category has a name but no clear leader — education is still your primary job.

How do MCP & Agent Integration Infrastructure companies usually price?

There's no single dominant model among the 10 tracked companies with a public pricing model: 4 flat rate, 3 hybrid, 3 per seat.

When did the MCP & Agent Integration Infrastructure category start?

The first company we count in the category dates to 2024.

How do MCP & Agent Integration Infrastructure companies talk about AI?

Of the 10 we track, by the language in their homepage headline and subheadline as of November 1, 2026: AI agents 9, AI 1, Implied 0, Not mentioned 0. Of the 9 pitching AI agents with public pricing, 3 price per seat.

Which MCP & Agent Integration Infrastructure companies does First to Market track?

Arcade.dev, Manufact, IBM, Kong, Microsoft, Zapier, Mintive, TrueFoundry, Composio, Lunar.dev.

Building in MCP & Agent Integration Infrastructure?

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