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AI & ML MCP Servers

AI and Machine Learning MCP servers give your AI assistant access to the world's leading AI platforms — OpenAI, Anthropic, Hugging Face, and more. Use these to build smarter agents that can query models, manage training data, and orchestrate multi-model workflows.

Each server translates an AI platform's REST API into MCP-compatible tools your assistant can call directly. Query GPT models, manage assistants, analyze images, generate embeddings, and fine-tune models — all from within Claude Desktop or Cursor.

Explore the AI & ML category below to find the right MCP server for your AI development stack.

Amazon Augmented AI Runtime

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<p>Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is called a human review workflow. To create and start a human rev

Amazon CodeGuru Profiler

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<p> This section provides documentation for the Amazon CodeGuru Profiler API operations. </p> <p> Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algo

Amazon CodeGuru Reviewer

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<p>This section provides documentation for the Amazon CodeGuru Reviewer API operations. CodeGuru Reviewer is a service that uses program analysis and machine learning to detect potential defects that are difficult for developers to find and recommends fixes in your Java and Python code.</p> <p>By pr

Amazon Connect Contact Lens

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<p>Contact Lens for Amazon Connect enables you to analyze conversations between customer and agents, by using speech transcription, natural language processing, and intelligent search capabilities. It performs sentiment analysis, detects issues, and enables you to automatically categorize contacts.<

Amazon Detective

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<p>Detective uses machine learning and purpose-built visualizations to help you to analyze and investigate security issues across your Amazon Web Services (Amazon Web Services) workloads. Detective automatically extracts time-based events such as login attempts, API calls, and network traffic from C

Amazon Elastic Inference

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<p> Elastic Inference public APIs. </p> <p> February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers

Amazon EMR

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Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data ware

Amazon GuardDuty

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<p>Amazon GuardDuty is a continuous security monitoring service that analyzes and processes the following data sources: VPC flow logs, Amazon Web Services CloudTrail management event logs, CloudTrail S3 data event logs, EKS audit logs, DNS logs, and Amazon EBS volume data. It uses threat intelligenc

Amazon Lex Runtime Service

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Amazon Lex provides both build and runtime endpoints. Each endpoint provides a set of operations (API). Your conversational bot uses the runtime API to understand user utterances (user input text or voice). For example, suppose a user says "I want pizza", your bot sends this input to Amazon Lex usin

Amazon Lookout for Equipment

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Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.

Amazon Lookout for Vision

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<p>This is the Amazon Lookout for Vision API Reference. It provides descriptions of actions, data types, common parameters, and common errors.</p> <p>Amazon Lookout for Vision enables you to find visual defects in industrial products, accurately and at scale. It uses computer vision to identify miss

Amazon Machine Learning

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Definition of the public APIs exposed by Amazon Machine Learning

Amazon Personalize

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Amazon Personalize is a machine learning service that makes it easy to add individualized recommendations to customers.

Amazon Polly

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<p>Amazon Polly is a web service that makes it easy to synthesize speech from text.</p> <p>The Amazon Polly service provides API operations for synthesizing high-quality speech from plain text and Speech Synthesis Markup Language (SSML), along with managing pronunciations lexicons that enable you to

Amazon SageMaker Service

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<p>Provides APIs for creating and managing SageMaker resources. </p> <p>Other Resources:</p> <ul> <li> <p> <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html#first-time-user">SageMaker Developer Guide</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/augmented-ai/2019-11

Amazon Transcribe Service

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<p>Amazon Transcribe offers three main types of batch transcription: <b>Standard</b>, <b>Medical</b>, and <b>Call Analytics</b>.</p> <ul> <li> <p> <b>Standard transcriptions</b> are the most common option. Refer to for details.</p> </li> <li> <p> <b>Medical transcriptions</b> are tailored to medical

Anthropic API

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API KeyOfficial

Access Claude AI models for text generation, analysis, and code assistance through the Anthropic API.

Application Insights Data Plane

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This API exposes AI metric & event information and associated metadata

AWS Data Exchange

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<p>AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use the AWS Data Exchange APIs to create, update, manage, and access file-based data set in the AWS Cloud.</p> <p>As a subscriber, you can view and access the data sets that you have an enti

AWS IoT Analytics

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<p>IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integrat

AWS IoT Greengrass V2

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<p>IoT Greengrass brings local compute, messaging, data management, sync, and ML inference capabilities to edge devices. This enables devices to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local network

AWS Key Management Service

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<fullname>Key Management Service</fullname> <p>Key Management Service (KMS) is an encryption and key management web service. This guide describes the KMS operations that you can call programmatically. For general information about KMS, see the <a href="https://docs.aws.amazon.com/kms/latest/develope

AWS Transfer Family

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Transfer Family is a fully managed service that enables the transfer of files over the File Transfer Protocol (FTP), File Transfer Protocol over SSL (FTPS), or Secure Shell (SSH) File Transfer Protocol (SFTP) directly into and out of Amazon Simple Storage Service (Amazon S3) or Amazon EFS. Additiona

AWSServerlessApplicationRepository

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<p>The AWS Serverless Application Repository makes it easy for developers and enterprises to quickly find and deploy serverless applications in the AWS Cloud. For more information about serverless applications, see Serverless Computing and Applications on the AWS website.</p><p>The AWS Serverless

Azure CDN WebApplicationFirewallManagement

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APIs to manage web application firewall rules for Azure CDN

Azure Machine Learning Compute Management Client

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These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations:<ul><li>Create or update a cluster</li><li>Get a cluster</li><li>Patch a cluster</li><li>Delete a cluster</li><li>Get keys for a cluster</li><li>Check if updates are available for

Azure Machine Learning Datastore Management Client

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Azure Machine Learning Datastore Management Client API

Azure Machine Learning Model Management Service

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These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

Azure Machine Learning Workspaces

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These APIs allow end users to operate on Azure Machine Learning Workspace resources.

Azure ML Commitment Plans Management Client

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These APIs allow end users to operate on Azure Machine Learning Commitment Plans resources and their child Commitment Association resources. They support CRUD operations for commitment plans, get and list operations for commitment associations, moving commitment associations between commitment plans

Azure ML Web Services Management Client

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These APIs allow end users to operate on Azure Machine Learning Web Services resources. They support the following operations:<ul><li>Create or update a web service</li><li>Get a web service</li><li>Patch a web service</li><li>Delete a web service</li><li>Get All Web Services in a Resource Group </l

Computer Vision

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The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the faces in an image. It also has other features like estimating dominant and accent co

Machine Learning Workspaces Management Client

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These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

ML Team Account Management Client

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These APIs allow end users to operate on Azure Machine Learning Team Account resources. They support CRUD operations for Azure Machine Learning Team Accounts.

OpenAI API

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API KeyOfficial

Generate text, images, and embeddings. Integrate GPT models and DALL-E into your AI agent.

OpenAI API

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APIs for sampling from and fine-tuning language models

PowerTools Developer

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Apptigent PowerTools Developer Edition is a powerful suite of API endpoints for custom applications running on any stack. Manipulate text, modify collections, format dates and times, convert currency, perform advanced mathematical calculations, shorten URL's, encode strings, convert text to speech,

Text Analytics Client

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The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this

WebApplicationFirewallManagement

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APIs to manage web application firewall rules