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Gemini API Client for .NET and ASP.NET Core

Gemini API Client for .NET and ASP.NET Core is an open-source C# SDK that connects .NET applications to Gemini through Google AI Studio or Vertex AI.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Gemini API Client for .NET and ASP.NET Core — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when building a .NET or ASP.NET Core application that needs programmatic access to Gemini and you want a C# package rather than calling the service through a separately implemented client.

Who it is for

  • C# developers adding Gemini model requests to .NET applications.
  • ASP.NET Core developers integrating Gemini into web applications.
  • Teams using Microsoft.Extensions.AI or Semantic Kernel with the listed Microsoft integration package.

Documented uses

  • Add generated text, streamed responses, or chat sessions to a .NET application.
  • Create text embeddings or count tokens through documented model operations.
  • Connect an application to Gemini using Google AI Studio or Vertex AI.
Before you choose

Requirements & limits

The repository is public and licensed under Apache-2.0. The documented API setup uses Google AI Studio API-key or OAuth authentication, or Vertex AI credentials, depending on the chosen service.

  • Choose the Google AI Studio or Vertex AI connection path and configure the corresponding credentials.
  • Select among the repository's separate NuGet packages based on whether the project uses core .NET, ASP.NET Core, Google's API Client Library, or Microsoft.Extensions.AI and Semantic Kernel.
  • The README documents API operations including generation, streaming, chat, embeddings, token counting, and grounded answers; it does not provide implementation details for every named integration.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add the core package to a .NET project

Install the Mscc.GenerativeAI package in an existing .NET project.

Before you start

  • A .NET project
  • The dotnet command-line tool or NuGet Package Manager

Steps

  1. From the .NET project folder, run dotnet add package Mscc.GenerativeAI.

  2. Alternatively, use NuGet Package Manager to install Mscc.GenerativeAI, or add a PackageReference to the project file.

Expected outcome

The core SDK package is added to the project for use in accessing Gemini APIs.

Guide limitations

  • These steps cover package installation only; they do not configure service authentication or make an API request.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
15 October 2026
Original website title
mscraftsman/generative-ai · Official homepage title · retained in its source language
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