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What is nekuda?

Nekuda revolutionizes websites by converting them into interactive platforms where AI agents can effectively operate, utilizing WebMCP tools that allow for various site functions while giving website owners the ability to oversee and manage these interactions. Development teams can either build extensive WebMCP tools with a coding agent or quickly initiate basic tools by adding a single line of code to their public website. After implementing these tools, businesses are empowered to specify and monitor the actions that agents can take, including essential tasks such as product searches, retrieving policies, managing checkout processes, tracking orders, and updating application data. Furthermore, Nekuda meticulously tracks agent activities, logging each interaction with tools and entire sessions, thus providing teams with valuable insights into the navigation patterns of agents on their website. The platform also incorporates robust evaluation and testing functionalities that measure task success rates, enabling the replaying of scenarios both before and after deployment to confirm that critical workflows like searching, checkout, policy retrieval, and fallback actions function seamlessly and as anticipated. This holistic strategy not only boosts website functionality but also equips teams with the ability to continually adapt and refine their digital landscapes informed by real-time data and agent performance insights, fostering an environment ripe for innovation and improvement. In this way, Nekuda ensures that businesses can meet evolving user needs while maintaining high standards of operational excellence.

What is WebMCP?

WebMCP is an open-source JavaScript library that simplifies the incorporation of the Model Context Protocol into any website, enabling users to interact with web pages through an AI agent or language model. Developers can easily add WebMCP to their sites with a simple script, which activates a small widget that facilitates communication between the webpage and an MCP client. Once this connection is made, websites can leverage a range of MCP features, including tools, prompts, resources, and sampling capabilities. Tools allow an LLM to perform specific actions on the website by utilizing predefined functions that dictate their inputs and outputs. Prompts are designed as reusable templates for common LLM interactions, which can include dynamic arguments to enhance functionality. Resources grant access to webpage data and content that clients can use for contextual engagement, covering everything from page text to specific elements, files, and other organized information. Furthermore, WebMCP supports sampling, enabling the server to request LLM completions via the connected client while ensuring that human oversight is maintained throughout the interaction. This array of features not only enhances the interactivity of web applications but also enriches the overall user experience by making it more responsive and engaging. Ultimately, developers can create innovative solutions that utilize AI in a user-friendly manner.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Google Chrome

Integrations Supported

Model Context Protocol (MCP)
BayPoint AI
Claude Desktop
JavaScript
Persona

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

nekuda

Company Location

United States

Company Website

nekuda.ai/

Company Facts

Organization Name

WebMCP

Company Location

United States

Company Website

webmcp.dev/

Categories and Features

Agentic AI

Not specified

Categories and Features

Agentic AI

Not specified

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