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Inside the Model Context Protocol (MCP): Architecture, Motivation & Internal Usage

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December 18, 2025

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Introducing TrueFoundry MCP Gateway: Solving the N×M Integration Problem for AI Agents

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December 18, 2025

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Benchmarking the TrueFoundry LLM Gateway: it's blazing fast ⚡

LLMs & GenAI

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Top 5 LiteLLM alternatives of 2025

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The Messy Middle: Surviving the Transition from Rule-based IVR to Agentic systems

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Top Agentic AI Platforms in 2025

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What Is Generative AI Gateway?

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What Is LLM Proxy?

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Mcp Server Security Best Practices

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Mapping the On-Prem AI Market: From Chips to Control Planes

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AI Gateways: From Outage Panic to Enterprise Backbone

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LangGraph vs n8n: Choosing the Right Workflow Framework

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Langflow vs LangGraph: Which LLM Framework Fits Best?

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LLamaIndex vs LangGraph: Comparing LLM Frameworks

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AutoGen vs LangGraph: Comparing Multi-Agent AI Frameworks

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TrueML Talks

Big Data and ML Practices at Palo Alto Networks

Future of LLMs and Real Time Communication

Leveraging AI/ML for Revolutionary Logistics at Sennder

Evolution of Machine Learning: A Deep Dive into Savin's Journey

Applications of GenAI at Google

Programmatic Data Labelling and Training LLMs at Snorkel.ai

February 15, 2024

TrueML Talks #29 - GenAI and LLMs for Location Intelligence @ Beans.AI

February 1, 2024

TrueML Talks #28 - GenAI and LLMs for Sales Outreach @ OneShot

January 18, 2024

TrueML Talks #27 - GenAI and LLMOps for Customer Success @ Level AI

January 4, 2024

TrueML Talks #26 - Enterprise GenAI and LLMOps with Labhesh Patel

December 21, 2023

TrueML Talks #25 - GenAI and LLMOps for GTM (Go-To-Market) @ Twilio

December 13, 2023

True ML Talks #16 - Machine Learning Pipeline @ Digits

Featured Case Studies

How NVIDIA Improves GPU Cluster Utilization with LLM Agents

Demand for NVIDIA GPUs is skyrocketing. To increase the utilization of their GPU fleet and serve more clients, the team built a multi-agent LLM system to automate cluster optimization. The team used TrueFoundry to solve hybrid/multi-cloud management challenges, model switching, and develop and deploy LLM agents.

Helping Whatfix modernize deployments and shorten its software release lifecycle

Whatfix, a leading digital adoption platform, has seen rapid growth in revenue and clients. To streamline its ML and backend application releases, it adopted a modern deployment infrastructure, with TrueFoundry playing a key role in this upgrade.

Adding a Generative AI Ready Core to Aviso AI's Tech Stack

Aviso AI is a leading Revenue Operation System that helps teams manage and increase their revenues using conversational intelligence and forecasting models. TrueFoundry helped the team add the capability to deploy its proprietary LLM Models, which power its AI Chief of Staff MIKI.

Enabling a Fortune 100 Healthcare Company to ship 30+ LLM use cases in less than a year

Read how TrueFoundry worked with a Healthcare Major to help them build their Generative AI capabilities and ship 30+ use cases with Large Language Models in the first year

Games 24x7 Personalizing Gaming with AI for its 100 Million Users

Games 24x7, a leading gaming company from India, used TrueFoundry to serve ML models to their clients at massive scales of more than 200 requests per second. In being able to do this, we helped them reduce time to deployment, follow SRE best practices and also help the internal engineering team monitor and control the data and infrastructure.

How Neurobit Saves 60% Of Their Cloud Costs and Serves Machine Learning at Scale

Neurobit is a cutting-edge Digital Health company based in Singapore that generates biomarkers using propriety AI algorithms on physiological sleep data.

Online Drug Marketplace adds $1.5 million to its revenue by simplifying the customer journey

The company under study is an online drug marketplace that aims to supply medications at an affordable price to millions of customers. They have 8 Mn+ active users and are a part of the $ 200 Billion + conglomerate.

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Integrating AnythingLLM with TrueFoundry's AI Gateway

Connect AnythingLLM to TrueFoundry’s AI Gateway in minutes. Step-by-step setup, cost controls, security, and low-code automation best practices for enterprise AI teams.

On Premise AI Platform

Discover everything you need to know about on premise AI platforms. Learn why enterprises prefer on premise AI, explore real-world benefits, implementation steps, best practices, and how TrueFoundry delivers an all-in-one enterprise-grade solution.

LLM Cost Tracking Solution: Observability, Governance & Optimization

Implement a comprehensive LLM cost tracking solution and achieve granular observability, proactive governance, and ongoing optimization—including self-hosting, fine-tuning, routing, and more.

What Is MCP Server? A Brief Explanation

LLM in Enterprise : A Complete Guide

Explore how enterprise LLMs are transforming business operations in 2025. Learn key use cases, challenges, platforms, and how to deploy LLMs securely at scale.

Building Low-Code AI Agent with Flowise on TrueFoundry AI Gateway

LLM Observability Tools

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MCP vs RAG : Know The Key Differences

What Are Multi-Agent Systems?

LiteLLM vs OpenRouter: Which is Best For You ?

What is LLM Observability ? Complete Guide

LLM observability is the end-to-end practice of instrumenting, collecting, and analyzing every inference event in a language model pipeline. It combines two core layers

Victorialogs vs Loki - Benchmarking Results

How TrueFoundry’s AI Gateway Makes MCP Enterprise‑Ready

Unlock agentic AI across your organization with an MCP Gateway for enterprises. TrueFoundry's AI Gateway solves MCP scaling challenges like access control, security, and observability by providing a unified control plane. Securely register, deploy, and manage all your MCP servers with OAuth-backed authentication, fine-grained permissions, and complete audit trails to turn siloed APIs into powerful, enterprise-ready AI agents

Accelerate Data Processing 30–40× with NVIDIA RAPIDS on TrueFoundry

See how TrueFoundry + NVIDIA RAPIDS turbo-charges pandas & Spark jobs, cutting ETL runtimes by 30-40× with GPUs—benchmarks + quick-start guide inside.

Model Context Protocol (MCP) Server in Enterprises

Learn how TrueFoundry’s MCP (Model Control Plane) server delivers centralized policy, observability, and security control across enterprise LLM pipelines—integrating seamlessly with LLM Gateway for scale and governance.

What is MCP ? How Does it Work ?

What is AI Gateway ? Core Concepts and Guide

TrueFoundry’s AI Gateway centralizes LLM routing, security, rate‑limiting, load balancing, observability, RBAC, and cost management—empowering enterprises with scalable, secure AI infrastructure.

Agentic AI in Enterprises: A Blueprint for Scaling Intelligence and Automation

Load Balancing in AI Gateway: Optimizing Performance

Discover how TrueFoundry’s AI Gateway offers weight‑based and latency‑based load balancing across multiple LLM endpoints—ensuring high availability, consistent latency, error resilience, and seamless canary rollouts via simple YAML configuration.

AI Guardrails in Enterprise: Ensuring Safe Innovation

How to Think About AI Gateway Architecture in the Generative AI Stack

How to Think About Gateway Architecture in the Generative AI Stack

AI Gateway: The Central Control Pane of Today’s Generative AI Infrastructure

Inside the Model Context Protocol (MCP): Architecture, Motivation & Internal Usage

How should Enterprises evaluate LLM Gateway for Scale?

Learn how enterprises can effectively evaluate LLM Gateways to ensure scalability, performance, and security in large language model deployments. Discover key factors for making informed decisions.

Rate Limiting in AI Gateway : The Ultimate Guide

Learn how TrueFoundry’s LLM Gateway enforces per-user, team, and model-level rate limits—requests or token-based—via declarative YAML rules, with fallback routing to maintain availability and control costs during surges.

API Auth & RBAC in AI Gateway – Secure Access Controls

Secure your AI Gateway with TrueFoundry’s API authentication and RBAC: enforce API-key validation, SSO (OIDC/SAML), YAML-based role policies, scoped service accounts, provider‑level access, and full audit trails—designed for enterprise-grade control, multi‑tenancy, and compliance.

Observability in LLM Workflows: Turning Black Boxes into Glass Boxes

Explore how TrueFoundry brings full observability to LLM workflows with real-time metrics, end-to-end tracing, token-level cost tracking, and flexible integrations—turning black‑box AI pipelines into transparent, scalable, and auditable systems ready for enterprise use.

Multi-Model Routing – Why One LLM Isn’t Enough

Breaking Down AI Gateway Usage: Customer and User-Level Analytics

Discover how TrueFoundry monitors large language model (LLM) usage and manages costs effectively. Learn about tracking tools, cost optimization strategies, and insights for enterprise-scale AI deployments.

Why an AI Gateway Is Essential Beyond a Standard API Gateway

On-Prem LLMs Deployment : Secure & Scalable AI Solutions

Learn how TrueFoundry supports on‑prem LLM deployments with secure, scalable gateway capabilities—handling load balancing, observability, RBAC, and hybrid-cloud integration for enterprise control.

On-Premises Generative AI Solutions | Secure & Scalable AI Deployment

Explore building on‑prem generative AI with TrueFoundry: deploy models securely behind corporate firewalls, with full gateway support—load balancing, lineage, authentication, and hybrid-cloud scaling.

LLM Inferencing : The Definitive Guide

Explore TrueFoundry’s approach to LLM inferencing: optimized routing, load balancing, token‑aware cost tracking, and fallback mechanisms for high‑performance, cost‑efficient deployments.

LLMOps Architecture : A Detailed Explanation

Dive into TrueFoundry’s LLMOps architecture: layered gateway, orchestration, monitoring, and cost-tracking modules enabling scalable, secure, and observable LLM deployments at enterprise scale.

LLMOps vs MLOps: A Complete Comparison Guide

Understand the difference between LLMOps and MLOps: TrueFoundry shows LLMOps adds gateway routing, token-level observability, fallback, and cost tracking on top of standard MLOps practices.

What is LLMOps?

LLMOps is the operational layer around LLMs—TrueFoundry defines it as gateway‑driven orchestration, observability, fallback, and cost control wrapped around model deployments for enterprise readiness.

10 Best LLMOps Tools in 2025

Discover the LLMOps tools ecosystem: how TrueFoundry empowers you with observability dashboards, cost analytics, gateway controls, and integrations across deployment and monitoring stacks.

LLM Locust: A Tool for Benchmarking LLM Performance

Top 5 Portkey alternatives in 2025

Explore alternatives to Portkey for enterprise LLM gateways—covering features like policy-based routing, role-based access controls, auditing, cost tracking, and multi-model orchestration.

Top 5 LiteLLM alternatives of 2025

Evaluate enterprise-grade alternatives to LiteLLM: discover platforms offering end‑to‑end observability, governance, security, and scalable LLM operations beyond basic orchestration.

Portkey vs LiteLLM : Which is Best ?

Compare Portkey vs LiteLLM: Portkey brings enterprise-grade gateway features—like full observability, RBAC, and multi-provider routing—while LiteLLM offers lightweight LLM orchestration.

Deploying Your First Langgraph Agent on TrueFoundry

How to Deploy MultiAgent workflow using CrewAI on TrueFoundry

Deploying Your Agno Agent on TrueFoundry

AutoDeploy: LLM Agent for GenAI Deployments

Autopilot: Automating Infrastructure Management for GenAI

Scaling to Zero in Kubernetes: A Deep Dive into Elasti

ML Deployment as a service

GenAI as a Service For Enterprises

Discover TrueFoundry’s GenAI‑as‑a‑Service offering: fully managed LLM pipelines with compliance-aware governance, observability, cost controls, and seamless integration into enterprise environments.

Announcing $19M Series A, Scaling AI Deployment with Autonomous Agents on Autopilot

Cost Comparison with Sagemaker

Cost Comparison with Sagemaker

Setting up Gitops using Truefoundry

How to set up Gitops in Kubernetes

TrueFoundry: 2024 year-end review

TrueFoundry: 2024 year-end review

Building Compound AI Systems with TrueFoundry & Mongo DB

Building Compound AI Systems with TrueFoundry & Mongo DB

Building RAG using TrueFoundry and MongoDB Atlas

Building RAG using Cognita and MongoDB Atlas

Enabling 3-15X Faster Docker Image Builds with TrueFoundry on Kubernetes

Benchmarking the TrueFoundry LLM Gateway: it's blazing fast ⚡

Understanding Total Cost of Ownership for GenAI Infrastructure

Total Cost Of Ownership

Build Vs Buy

Build Vs Buy

What Are Compound AI Systems?

Unpack compound AI systems with TrueFoundry: orchestrating multiple LLMs and tools in pipelines, with gateway-managed routing, observability, and fallback for reliable, multimodal workflows.

Big Data and ML Practices at Palo Alto Networks

Big Data and ML Practices at Palo Alto Networks

What is LLM Gateway?

TrueFoundry’s LLM Gateway offers unified routing, observability, security, rate‑limiting, load balancing, and cost tracking—delivering enterprise-grade control over LLM deployments across providers.

<Webinar> GenAI Showcase For Enterprises

GenAI Showcase For Enterprises

<Webinar> RAG in Production - A Technical Deep Dive

RAG in Production - A Technical Deep Dive

TrueFoundry Announces SOC2 Type 2 and HIPPA Compliance

TrueFoundry Announces SOC2 Type 2 and HIPPA Compliance

TrueFoundry Recognized by HFS as a Hot Tech Vendor for GenAI in Enterprises

TrueFoundry Recognized as a Hot Tech Vendor by HFS in GenAI for Enterprises

Future of LLMs and Real Time Communication

Future of LLMs and WebRTC: A Deep Dive

Leveraging AI/ML for Revolutionary Logistics at Sennder

Leveraging AI/ML for Revolutionary Logistics at Sennder

Enhancing Customer Support with Real-Time AI Assistance Using Cognita

SEO Meta Description Explore how TrueFoundry's Cognita framework enhances customer support with advanced AI capabilities. Discover its modular architecture, real-time query handling, multilingual support, and continuous improvement features, providing efficient, scalable, and accurate customer service solutions. Learn about seamless CRM integration, security measures, and proactive support analytics that boost customer satisfaction and operational efficiency.

What is Similarity Search & How Does it work?

Explore how similarity search transforms data retrieval in e-commerce, NLP, and more. Learn key techniques and boost your system's efficiency. Read now!

Volumes on Kubernetes

This blog explores Kubernetes volumes, provisioning modes, storage classes on AWS, Azure, GCP, and using S3/EFS volumes.

Evolution of Machine Learning: A Deep Dive into Savin's Journey

In this episode of #TrueMLtalks, Savin from Outerbounds shares insights into the MLOPs use cases in Netflix.

Top 5 Azure ML Alternatives of 2025

Discover the best alternatives to Azure ML. Explore powerful, cost-effective machine learning platforms at TrueFoundry.

Exploring Alternatives to VertexAI

Discover 6 powerful alternatives to Vertex AI that fit your needs. Compare tools and make informed choices with TrueFoundry's expert insights.

Top Tools for Fine-tuning

Explore the top tools for fine-tuning processes and projects. Achieve precision and efficiency with our expert recommendations.

Top 6 SageMaker Alternatives of 2025

Explore enterprise-ready alternatives to AWS SageMaker with TrueFoundry’s solutions—combining flexibility, scalability, observability, and cost control across LLMs and MLOps pipelines.” (Based on typical TrueFoundry messaging.

Cognita: Building an Open Source, Modular, RAG applications for Production

Explore how Cognita achieves customizability and scalability, adapting to AI advancements while maintaining user-friendliness and long-term value.

Cognita: Our Open Source Framework For RAG In Production

Discover how to leverage Cognita to construct an open-source RAG application efficiently. Uncover insights into building robust RAG solutions with ease.

7 Best Vector Databases in 2025

In this blog post, we will delve into the technical and enterprise considerations that will guide you in selecting the right vector database for your needs.

Best Machine Learning Model Deployment Tools in 2025

Explore the top 8 machine learning model deployment tools in 2024. Learn about their features, benefits, and how to choose the best one for your ML needs.

Applications of GenAI at Google

Dive into True ML's episode featuring Priya Mathur from Google, exploring ML challenges, innovations, generative AI, and trust-building in AI.

Leveraging Fractional GPUs on Kubernetes

Leveraging Fractional GPUs on Kubernetes

Top Prompt Engineering Tools in 2024 : All you need to know

Discover the leading prompt engineering tools for 2024 in this comprehensive guide. Learn about the latest advancements and key features in detail.

Helping Enterprises accelerate the time to value for GenAI

Discover how our solutions empower enterprises to expedite the time to value for GenAI, enhancing operational efficiency and driving business growth.

SSH Server Containers For Development on Kubernetes

Explore how SSH server containers facilitate development on Kubernetes by enabling secure remote access and efficient containerized workflow management.

Programmatic Data Labelling and Training LLMs at Snorkel.ai

Discover how Snorkel AI leverages programmatic data labelling techniques to enhance data annotation efficiency and accelerate machine learning model development.

Sagemaker vs TrueFoundry

Explore the differences between Sagemaker and TrueFoundry, two prominent machine learning platforms, to make an informed decision for your business needs.

Transformer Architecture in Large Language Models

Discover the inner workings of Transformer Architecture in Large Language Models (LLMs) and how it revolutionizes natural language processing tasks.

What are LLM Agents?

Discover how LLM agents leverage large language models to perform tasks, enhance planning, and ensure memory management for more accurate AI assistance.

Introduction to Langchain

Discover LangChain's role in simplifying AI development with LLMs, enabling chatbots, summarizers, and API interactions efficiently.

What is Prompt Engineering?

Master prompt engineering for LLMs with TrueFoundry. Learn effective techniques to craft prompts, fine-tune models, and enhance QA processes with state-of-the-art methods.

Prompting, RAG or Fine-tuning - the right choice?

Discover the differences between prompting, fine-tuning, and RAG techniques for model optimization.

Benchmarking Llama-2-70B

Gain efficiency insights from Llama-2-70B benchmarking. Optimize ML operations with valuable data analysis.

Benchmarking Llama-2-13B

Discover performance analysis for Llama-2-13B benchmarking. Unlock insights to enhance ML efficiency.

Understanding LLAMA 2 Model Benchmarks for Performance Evaluation

Explore LLAMA 2 model benchmarks to gain valuable insights for assessing performance and optimizing strategies effectively.

Benchmarking Mistral-7B

Evaluate performance with Mistral-7B benchmarking insights. Optimize ML operations for enhanced results

Benchmarking Falcon-40B

Benchmarking Falcon-40B-Instruct: latency, cost, and RPS insights to evaluate its suitability for business needs. Note: qualitative performance not covered.

TrueML Talks #26 - Enterprise GenAI and LLMOps with Labhesh Patel

Join TrueML Talks #26 for insights on Enterprise GenAI and LLMOps with Labhesh Patel. Explore ML strategies for enterprises.

TrueML Talks #29 - GenAI and LLMs for Location Intelligence @ Beans.AI

Explore GenAI and LLMs for Location Intelligence at Beans.AI on TrueML Talks #29. Unlock insights for spatial data analysis.

A Guide to Cloud Node Auto-Provisioning

Learn about Cloud Node Auto-Provisioning to streamline infrastructure. Explore methods for efficient resource allocation.