Top MCP Servers, Gateways, and Registries (September 2026)

1

OpenTools

Top pick

opentools.com

Best for Developers building MCP-based AI agent integrations

OpenTools is a directory and discovery platform for Model Context Protocol (MCP) servers, allowing developers to browse, search, and find MCP tools and integrations for AI applications. It catalogs available servers by category and functionality, helping users identify connectors for tasks such as file access, APIs, or data retrieval within AI agent workflows. The platform serves as a reference point for developers building on MCP who want to locate existing servers rather than building integrations from scratch. It suits AI engineers and teams working with agent frameworks that support the MCP standard.

• MCP server directory
• Search and browse by category
• Integration discovery for AI agents

2

Pipedream

Free plan

pipedream.com

Best for Developers building AI agent and app integrations

Pipedream is a platform for building and running integrations and workflow automations, connecting APIs, apps, and data sources through both a visual builder and code-level steps. It supports hosting Model Context Protocol servers, letting developers expose tools and app connections to AI agents through Pipedream's library of pre-built app integrations. It offers event-driven triggers, scheduling, and serverless execution of workflow steps written in JavaScript or Python. It suits developers and technical teams building automations, internal tools, or AI agent integrations without managing separate infrastructure.

• MCP server hosting
• Visual and code-based workflows
• Prebuilt app integrations

3

Composio

composio.dev

Best for Developers building AI agents needing app integrations·Free trial

Composio is a platform that provides a set of managed tool integrations and MCP servers for connecting AI agents to external applications such as productivity suites, CRMs, and developer tools. It handles authentication, tool schemas, and execution so developers can plug pre-built integrations into LLM-based agents without building connectors from scratch. Composio supports popular agent frameworks and offers SDKs for adding tool-calling capabilities to custom AI applications. It is aimed at developers and teams building AI agents that need reliable access to third-party services and APIs through a standardized interface.

• Pre-built MCP server integrations
• Managed authentication handling
• Agent framework SDKs

4

Smithery

smithery.ai

Best for Developers building AI agents with MCP integrations

Smithery is a registry and hosting platform for Model Context Protocol (MCP) servers, letting developers discover, deploy, and connect tools that extend AI assistants with external data sources and APIs. It provides a searchable directory of community and official MCP servers, along with infrastructure to host and serve them remotely without local setup. Developers can also publish their own MCP servers to the registry for others to use. The platform suits AI engineers and developers building agentic applications who need standardized ways to connect language models to external tools and services.

• MCP server registry
• Remote hosting for servers
• Server publishing tools

5

PulseMCP

Free plan

pulsemcp.com

Best for Developers exploring MCP server integrations

PulseMCP is a web-based directory and news resource focused on the Model Context Protocol (MCP) ecosystem. It catalogs available MCP servers and clients, tracks updates and announcements related to the protocol, and offers use-case examples for developers building or integrating MCP-compatible tools. The site helps users discover existing servers rather than build new ones, serving as a reference point for exploring what integrations already exist. It suits developers and technical teams evaluating or adopting MCP for AI agent and tool integration projects.

• MCP server directory
• Protocol news updates
• Use-case examples

6

Zapier MCP

zapier.com

Best for Teams using Zapier who want AI agent integrations·Free trial

Zapier MCP is a Model Context Protocol server that exposes Zapier's existing app integrations and automation actions to AI assistants and language models. It lets an MCP-compatible client trigger workflows, read data, and interact with thousands of connected apps without custom API code for each service. This suits teams already using Zapier for automation who want to extend AI agents with the ability to send messages, update records, or run multi-step tasks across their existing tool stack, rather than building bespoke integrations for each connected application.

• Access to Zapier app integrations
• AI agent action triggering
• Multi-step workflow execution

7

mcp.run

Free plan

mcp.run

Best for Developers building AI agents with MCP tools

mcp.run is a hosted registry and runtime for Model Context Protocol servers, allowing developers to discover, install, and run MCP tools (called "servlets") without managing their own infrastructure. It provides a marketplace-style interface for browsing available MCP integrations, along with mechanisms for permissioning and sharing tool configurations across an organization. The platform is aimed at developers and teams building AI agents who want a simpler way to source and deploy MCP-compatible tools rather than hosting each server independently.

• MCP server registry
• Hosted tool runtime
• Shared team configurations

8

Model Context Protocol

Free plan

modelcontextprotocol.io

Best for Developers building AI agents needing tool integrations

Model Context Protocol (MCP) is an open specification for connecting AI applications, particularly large language models, to external data sources, tools, and systems through a standardized interface. Maintained as an open-source project, it defines how servers expose context, tools, and prompts so that different AI clients can integrate with them consistently. It is aimed at developers and organizations building AI assistants or agents who need a reusable, vendor-neutral way to link models to databases, APIs, and other services rather than writing custom integrations for each one.

• Standardized tool/data connections
• Open-source specification
• Client-server architecture for AI apps

9

Glama

glama.ai

Best for Developers building MCP-integrated AI applications

Glama is a directory and hosting platform for Model Context Protocol (MCP) servers, allowing developers to discover, inspect, and connect MCP servers that extend AI applications with external tools and data sources. It provides a searchable catalog of available servers along with details on their capabilities, and offers hosting infrastructure for running MCP servers. The platform suits developers and teams building AI applications who need to find, evaluate, or deploy MCP-compatible integrations without building server infrastructure from scratch.

• MCP server directory
• Server hosting
• Capability inspection

10

Cloudflare

Free plan

cloudflare.com

Best for Developers building AI agent integrations

Cloudflare provides infrastructure for building and deploying remote MCP servers on its edge network, using Workers to host connections between AI models and external tools or data sources. It includes authentication, authorization, and scaling handled through Cloudflare's platform, along with SDKs and templates for creating MCP-compliant endpoints. The service suits developers and engineering teams building AI agent integrations who need reliable hosting, security controls, and global distribution without managing their own server infrastructure for MCP implementations.

• Remote MCP server hosting
• Built-in authentication/authorization
• Edge network scaling