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What is Gram?

Gram is an adaptable open-source platform crafted to enable developers to effortlessly create, curate, and host Model Context Protocol (MCP) servers, thereby transforming REST APIs defined by OpenAPI specifications into utility tools for AI agents without the need to alter any code. The platform guides users through a methodical workflow that starts with generating default tools from API endpoints, refining the focus to essential functionalities, constructing advanced custom tools by integrating multiple API calls, and enriching those tools with contextual prompts and metadata, all of which can be tested in real-time within an interactive interface. Furthermore, Gram incorporates built-in support for OAuth 2.1, which includes both Dynamic Client Registration and customizable authentication flows, thereby guaranteeing secure and dependable access for agents. Once these tools are completely developed, they can be deployed as robust MCP servers that are ready for production, featuring centralized management capabilities, role-based access controls, comprehensive audit logs, and an infrastructure designed for compliance that includes deployment at Cloudflare's edge and DXT-packaged installers for easy distribution. This holistic approach not only streamlines the development process but also boosts the overall functionality and security of the deployed tools, rendering it an essential asset for developers seeking to effectively harness AI technology. Ultimately, Gram's design philosophy prioritizes user experience and security, making it a go-to choice for innovative AI-driven projects.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

ChatGPT
Claude
Cloudflare
Cursor
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
OAuth
Slack
Windsurf Editor

Integrations Supported

ChatGPT
Claude
Cloudflare
Cursor
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
OAuth
Slack
Windsurf Editor

API Availability

Has API

API Availability

Has API

Pricing Information

$250 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Speakeasy

Date Founded

2022

Company Location

United States

Company Website

www.speakeasy.com/product/gram

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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