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

1

PulseMCP

Top pickFree plan

pulsemcp.com

Best for Developers building MCP-based AI integrations

PulseMCP is an online resource that tracks the Model Context Protocol ecosystem, providing a searchable directory of MCP servers along with related news, use cases, and client tools. It helps developers and technical teams discover available servers by category, review project details, and stay informed on updates within the MCP space. The site functions as a reference point for those building or integrating AI applications that rely on MCP standards, rather than as a hosting or development platform itself.

• MCP server directory
• Ecosystem news updates
• Use case listings

2

Pipedream

Free plan

pipedream.com

Best for Developers building AI agents and API integrations

Pipedream is a workflow automation and integration platform that lets developers connect APIs, run event-driven code, and build custom workflows using serverless functions. It also provides hosted MCP servers, allowing AI agents and assistants to securely access thousands of pre-built app integrations and authenticated actions without custom infrastructure. This suits developers and technical teams building AI agents that need to interact with external services, as well as those automating backend processes across multiple SaaS tools and APIs.

• Hosted MCP servers
• Serverless workflow automation
• Prebuilt app integrations

3

Composio

composio.dev

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

Composio is a platform for connecting AI agents and LLM applications to external tools and services through a unified integration layer, including support for the Model Context Protocol (MCP). It provides pre-built connectors for popular apps such as CRMs, productivity suites, and developer tools, along with authentication handling for each. Developers can use Composio to give agents actionable capabilities without building and maintaining individual API integrations. It offers SDKs for common programming languages and is suited to teams building AI agents or assistants that need reliable, managed access to third-party software.

• Pre-built app connectors
• MCP server support
• Managed authentication handling

4

Glama

glama.ai

Best for Developers building AI apps with MCP integrations·Free trial

Glama is a directory and hosting platform for MCP (Model Context Protocol) servers, allowing developers to discover, inspect, and deploy servers that connect AI models to external tools and data sources. It provides a searchable catalog of available MCP servers along with details on their capabilities, making it easier to evaluate options before integration. The platform also offers hosting infrastructure for running MCP servers. It suits developers and teams building AI applications who need to find or manage MCP integrations without setting up discovery tooling themselves.

• MCP server directory
• Server hosting
• Capability inspection

5

Cloudflare

Free plan

cloudflare.com

Best for Developers building and hosting remote MCP servers

Cloudflare provides infrastructure for building, hosting, and securing remote MCP servers, using its Workers platform to handle authentication, authorization, and scaling for AI agent integrations. It also publishes reference MCP servers that expose Cloudflare's own products, such as documentation search and account management, to compatible AI clients. The offering suits development teams building custom MCP servers who need a managed edge runtime, along with organizations already using Cloudflare's network wanting to connect its services to AI assistants without operating separate hosting infrastructure.

• Edge hosting via Workers
• Built-in auth handling
• Official product MCP servers

6

OpenTools

opentools.com

Best for Developers researching MCP server options

OpenTools is an online directory that catalogs AI tools and includes a section dedicated to Model Context Protocol (MCP) servers. It allows developers to browse, search, and discover available MCP servers by category or function, providing links and brief descriptions to help evaluate options. The platform serves as a reference point rather than a hosting or deployment service. It suits developers and teams researching MCP integrations who want a centralized listing to compare available servers before selecting one for their own AI application setup.

• MCP server directory
• Category-based browsing
• Tool discovery search

7

Model Context Protocol

modelcontextprotocol.io

Best for Developers building AI tool integrations

Model Context Protocol (MCP) is an open standard for connecting AI models and assistants to external data sources, tools, and systems through a unified interface. Maintained as an open specification, it defines how servers expose resources, tools, and prompts that clients such as AI applications can consume in a consistent way. The project provides documentation, SDKs, and example servers for building and integrating MCP-compliant connectors. It suits developers and teams building AI applications who need standardized, reusable integrations rather than custom connectors for each data source or tool.

• Standardized tool/resource interface
• SDKs for multiple languages
• Example and reference servers

8

mcp.run

mcp.run

Best for Developers building AI apps with MCP tools

mcp.run is a hosted registry and runtime for Model Context Protocol servers, allowing users to discover, install, and run MCP tools (called servlets) without managing local infrastructure. It provides a marketplace-style interface for browsing available tools and profiles that group sets of servers for specific workflows. Built on WebAssembly, it aims to let teams run MCP servers securely in a sandboxed environment. It suits developers and AI application builders who want to integrate third-party or custom tools into LLM workflows without self-hosting each server individually.

• Hosted MCP server registry
• WebAssembly sandboxed execution
• Shareable tool profiles