EdgeWorkers

EdgeWorkers

Akamai
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About

Akamai's EdgeWorkers is a serverless computing platform that enables developers to deploy custom JavaScript code at the edge, optimizing user experiences by executing logic closer to end users. This approach reduces latency by eliminating high-latency calls to origin servers, enhancing performance, and improving security by moving exposed client-side logic to the edge. EdgeWorkers supports various use cases, including AB testing, geolocation-based content delivery, data protection, privacy compliance, dynamic website personalization, traffic management, and device-based personalization. Developers can write JavaScript code and deploy it via API, CLI, or GUI, leveraging Akamai's scalable architecture that automatically manages infrastructure during growth or traffic spikes. The platform integrates with Akamai's EdgeKV, a distributed key-value store, enabling data-driven applications with low-latency data access.

About

WebMCP is an open source JavaScript library that allows any website to integrate with the Model Context Protocol, enabling users to connect to and interact with webpages through an LLM or AI agent. Developers can add WebMCP to a site with a simple script, which initializes a small widget that handles the connection between the webpage and an MCP client. Once connected, websites can expose MCP features including tools, prompts, resources, and sampling. Tools let an LLM perform actions on the website through registered functions with defined inputs and outputs. Prompts provide reusable templates for common LLM interactions and can accept dynamic arguments. Resources expose webpage data and content that clients can read and use as context, including page content, individual elements, files, or other structured information. WebMCP also supports sampling, allowing the server to request LLM completions through the connected client while maintaining human oversight.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies wanting a solution to enhance user experiences through personalized, low-latency content delivery and efficient traffic management

Audience

Website developers needing a tool to expose webpage actions, prompts, resources, and contextual data to MCP-compatible LLMs and AI agents

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Akamai
Founded: 1998
United States
www.akamai.com/products/serverless-computing-edgeworkers

Company Information

WebMCP
United States
webmcp.dev/

Alternatives

Alternatives

Adaptive Media Delivery

Adaptive Media Delivery

Akamai Technologies

Categories

Categories

Agentic AI Supported

Integrations

JavaScript Supported
BayPoint AI Not Supported
Claude Desktop Not Supported
CrowdHandler Supported
Model Context Protocol (MCP) Not Supported
Persona Not Supported

Integrations

JavaScript Supported
BayPoint AI Supported
Claude Desktop Supported
CrowdHandler Not Supported
Model Context Protocol (MCP) Supported
Persona Supported
Claim EdgeWorkers and update features and information
Claim EdgeWorkers and update features and information
Claim WebMCP and update features and information
Claim WebMCP and update features and information