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2026-11-04 mcpai-agentsllm

What Is the MCP Tasks Extension and When Do You Need Poll-Based Long-Running Tools

The MCP Tasks extension (io.modelcontextprotocol/tasks, spec 2026-07-28, SEP-2663) lets a server answer tools/call with a durable task handle instead of a result. The client polls tasks/get, answers mid-flight questions with tasks/update, and can cancel or reconnect. Here is the wire protocol, what changed from the experimental 2025-11-25 version, when a task is worth it, and a working server and client checked against @modelcontextprotocol/ext-tasks 0.2.2.

Specialist A2A Agents vs Distributed Skills over MCP: When to Collapse an Agent into a Skill

If a specialist agent is just a model loop wrapped around a few read-only calls into your own services, collapse it into a skill served over MCP: a SKILL.md plus typed tools that the parent model calls directly. Keep it an A2A agent when it needs its own model, private context, a long multi-step workflow or an independent lifecycle. Here is the decision matrix, the measured cost of each path, and the Agent Framework 1.17 wiring.
2026-09-28 llmai-agentsmcp

How to Measure an Agent's Fixed Token Overhead Before the First User Token

Every agent request pays for its system prompt, the provider's hidden tool-use preamble, and every tool schema before the user says anything. How to measure that fixed cost with differential count_tokens calls on the Anthropic API, the input_tokens endpoint on OpenAI, an MCP listTools probe, and /context in Claude Code, anchored to claude-opus-5-5, claude-sonnet-5, and @modelcontextprotocol/client 2.1.0.
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