Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)
Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.
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Learn how OpenAI scaled Habitat with reliable multi-tenancy, global caching, and Azure Cosmos DB to deliver 12× faster reads for ChatGPT.
MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability
Email inbox API for AI agents. Give every agent its own real email address, receive mail as structured webhooks, and reply in-thread over REST. A complete multi-tenant mail server in Rust: inbound and outbound, DKIM/SPF/DMARC/ARC, MTA-STS, DANE, three-tier anti-spam.
| Package | Version | |---|---| | @modelcontextprotocol/client | 2.4.0 | | @modelcontextprotocol/server | 2.4.0 | | @modelcontextprotocol/core | 2.4.0 | | @modelcontextprotocol/server-legacy | 2.4.0 | | @modelcontextprotocol/codemod | 2.4.0 | | @modelcontextprotocol/node | 2.1.2 | | @modelcontextprotocol/express, hono, fastify | unchanged | Upgrade notes **…
0.24.0 (2026-10-15) Features expose MCP annotations on converted tools (#5356) (75813f8) support run-wide tool exception formatting (#5326) (8fd9a7c) Bug Fixes batch OpenAI conversation session writes within the API limit (#5334) (26345c1) defer automatic compaction for pending approvals (#5363) (5eb47a5) **deps-dev:** bump fastapi from 0.139.2 to 0.141.1 (…
pip install -U mcp. Docs: Mostly fixes, plus three new options. A few things behave differently, so skim these first: Behaviour changes **httpx2>=2.10.0 is now required** (#3600) It was >=2.5.0. The new max_sse_event_size option needs it. Nothing to do unless you pin httpx2 below 2.10. **A tool with an invalid x-mcp-header annotation fails at registration**…
Trajectory-based confidence estimation has shown promising performance for large language models (LLMs) by leveraging rich signals from their reasoning processes. However, we find that such confidence estimators can degrade substantially after agentic reinforcement learning (Agentic RL) as it induces substantial shifts in the reasoning trajectories. More im…
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This release marks the **stable release** of the 2026-07-28 revision of the Model Context Protocol. The specification is available on the official Model Context Protocol website. For a detailed overview of changes, see 2026-07-28 changelog.
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Topology optimization for 3D printing, as an MCP server for Claude, Codex, Cursor and other AI agents. Loads and regions in, a lighter printable STL out.
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Review primary sourceLet your AI agents call your phone over VoIP, and call them back. Your phone rings like a real call, even locked; a voice AI talks it through and returns the transcript. Self-hosted, open source, no phone numbers or Twilio.
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