Transport on AI Knowledge Base

MCP Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

Go from zero to a solid understanding of the Model Context Protocol. This path covers the core architecture, primitives (tools, resources, prompts), transport mechanisms, and how clients and servers interact.

By the end you’ll understand the MCP mental model well enough to evaluate MCP servers, build simple integrations, and read the specification confidently.

The Agentic Protocol Stack

Mon, 01 Jan 0001 00:00:00 +0000

Understand the three open protocols forming the agentic AI communication stack:

MCP (agent-to-tool) — how agents use external tools and data
A2A (agent-to-agent) — how agents collaborate across platforms
AG-UI (agent-to-user) — how agents communicate with frontends

All three are converging under the Linux Foundation’s Agentic AI Foundation (AAIF). This path teaches you the architecture and practical usage of each layer.

Building MCP Servers

Mon, 01 Jan 0001 00:00:00 +0000

Learn to build production-quality MCP servers. This path takes you from a basic server implementation through transport selection, security, and publishing to the registry.

Prerequisites: Complete the MCP Fundamentals path first to understand the protocol architecture.

AI Evaluations UI

Mon, 01 Jan 0001 00:00:00 +0000

Guide to using the AI Evaluations UI for model assessment

Cookbook Reference

Mon, 01 Jan 0001 00:00:00 +0000

Configuration classes, checkpoint utilities, and gradient accumulation normalization for cookbook recipes.

DSPy Assertions

Mon, 01 Jan 0001 00:00:00 +0000

Enterprise network configuration

Mon, 01 Jan 0001 00:00:00 +0000

Configure Claude Code for enterprise environments with proxy servers, custom Certificate Authorities (CA), and mutual Transport Layer Security (mTLS) authentication.

Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Agent Builder’s core features

Essentials

Mon, 01 Jan 0001 00:00:00 +0000

Fleet’s core features

Evaluating Text Summarization Models

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses how to evaluate a model’s text summarization.

FiretitanServiceClient & TrainingClient

Mon, 01 Jan 0001 00:00:00 +0000

Connect to a trainer endpoint and use the training client for forward/backward passes, optimizer steps, and checkpointing.

Frameworks, runtimes, and harnesses

Mon, 01 Jan 0001 00:00:00 +0000

Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one

Frameworks, runtimes, and harnesses

Mon, 01 Jan 0001 00:00:00 +0000

Understand the differences between LangChain, LangGraph, and Deep Agents and when to use each one

How Does Cohere's Pricing Work?

Mon, 01 Jan 0001 00:00:00 +0000

This page details Cohere’s pricing model. Our models can be accessed directly through our API, allowing for the creation of scalable production workloads.

Human Input on Execution

Mon, 01 Jan 0001 00:00:00 +0000

Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent’s attributes and tools.

Ip Addresses

Mon, 01 Jan 0001 00:00:00 +0000

IP egress ranges

Mon, 01 Jan 0001 00:00:00 +0000

Find the published IP egress ranges used by OpenAI products.

Long-Form Text Strategies with Cohere

Mon, 01 Jan 0001 00:00:00 +0000

This discusses ways of getting Cohere’s LLM platform to perform well in generating long-form text.

Manage Weave Projects

Mon, 01 Jan 0001 00:00:00 +0000

Use Weave projects to organize related assets like traces, prompts, evaluations, models, and dashboards.

Marketplace

Mon, 01 Jan 0001 00:00:00 +0000

Discover, install, and govern reusable assets for your enterprise crews.

MCP Get

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

MCP Post

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

Message queues

Mon, 01 Jan 0001 00:00:00 +0000

Queue multiple messages and manage them while the agent processes sequentially

Message queues

Mon, 01 Jan 0001 00:00:00 +0000

Queue multiple messages and manage them while the agent processes sequentially

Models and providers

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to choose models, set defaults, and think about providers and transport in the OpenAI Agents SDK.

Pricing

Mon, 01 Jan 0001 00:00:00 +0000

Fine-tuning pricing at Together AI is based on the total number of tokens processed during your job.

Processes

Mon, 01 Jan 0001 00:00:00 +0000

Detailed guide on workflow management through processes in CrewAI, with updated implementation details.

Realtime API with WebSocket

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect to the Realtime API using WebSocket in a server-to-server application.

Realtime quickstart

Mon, 01 Jan 0001 00:00:00 +0000

Stand up low-latency realtime agents with websocket transport (WebRTC is not available in the Python SDK).

Realtime transport

Mon, 01 Jan 0001 00:00:00 +0000

Decide between the default server-side WebSocket path and SIP attach flows, with the browser WebRTC boundary called out explicitly.

Reasoning tokens

Mon, 01 Jan 0001 00:00:00 +0000

Display model thinking and reasoning processes in collapsible blocks

Reasoning tokens

Mon, 01 Jan 0001 00:00:00 +0000

Display model thinking and reasoning processes in collapsible blocks

SEP-1699: Support SSE polling via server-side disconnect

Mon, 01 Jan 0001 00:00:00 +0000

Support SSE polling via server-side disconnect

SEP-1699: Support SSE polling via server-side disconnect

Mon, 01 Jan 0001 00:00:00 +0000

Support SSE polling via server-side disconnect

Sequential Processes

Mon, 01 Jan 0001 00:00:00 +0000

A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.

SSE Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.

Stdio Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.

Streamable HTTP Transport

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.

Terminate Session

Mon, 01 Jan 0001 00:00:00 +0000

Implemented according to the Streamable HTTP Transport specification.

Text Classification Using Embeddings

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses the creation of a text classification model using word vector embeddings.

Topic Modeling System for AI Papers

Mon, 01 Jan 0001 00:00:00 +0000

This page discusses how to create a topic-modeling system for papers focused on AI papers.

Transports

Mon, 01 Jan 0001 00:00:00 +0000

MCP defines two transport mechanisms: stdio (standard input/output) and HTTP with Server-Sent Events (SSE). For local development and CLI-based servers, stdio is simpler and the right default choice. HTTP+SSE is needed when the server runs remotely or must handle multiple clients. A common gotcha is that the Streamable HTTP transport replaced the older SSE-only transport in the 2025-11-25 spec revision, so be careful not to follow outdated examples that use the previous approach.

WebSocket Mode

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to use Responses API WebSocket mode with response.create and previous_response_id.