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ease
features
design
support

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Description

The Internet serves as the largest repository of publicly available resources globally. Currently, there are more than 100 million websites that host over 80 billion individual webpages. Each second, the count of these webpages surges at an astonishing rate. Within this vast array of content, users can find a wealth of useful information such as contact details for potential clients, pricing data on competing products, up-to-the-minute financial updates, insights into public sentiment, word-of-mouth reports, supply and demand trends, academic journals, forum discussions, blogs, articles, and current news. Nonetheless, the crucial data resides within the extensive HTML structures of these websites, which are often only semi-structured. Consequently, this makes the extraction and direct application of the information a challenging task. Moreover, navigating through this immense volume of data necessitates sophisticated tools and strategies to effectively harness its potential.

Description

WebMCP is a freely available JavaScript library that facilitates the integration of the Model Context Protocol with any website, allowing users to engage with webpages via an AI agent or LLM. By incorporating a straightforward script, developers can seamlessly integrate WebMCP into their sites, which activates a compact widget that manages the communication between the webpage and an MCP client. Upon establishing this connection, websites gain the capability to showcase various MCP functionalities, which include tools, prompts, resources, and sampling. Tools enable an LLM to execute specific tasks on the website using predefined functions that specify their inputs and outputs. Prompts offer reusable formats for frequently encountered LLM interactions, with the ability to incorporate dynamic arguments. Resources provide access to webpage data and content that clients can utilize for contextual purposes, encompassing page text, specific elements, files, or other organized information. Additionally, WebMCP includes support for sampling, which allows the server to solicit LLM completions through the connected client while ensuring that human oversight is preserved throughout the process. This combination of features empowers developers to create more interactive and responsive web experiences.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

BayPoint AI No 
Claude Desktop No 
JavaScript No 
Model Context Protocol (MCP) No 
Persona No 

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Knowlesys Software

Website

www.knowlesys.com

Vendor Details

Company Name

WebMCP

Country

United States

Website

webmcp.dev/

Product Features

Data Extraction

Disparate Data Collection Yes 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

Product Features

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