Simon Willison pushes back on 'MCP was never a good idea': it still matters beyond full-featured terminal agents
Simon Willison disputes the claim that “MCP was never a good idea,” arguing that it overlooks MCP's value today.
All news · Today4 items
#MCP and tool calling
All collected and published items, ordered by time. Picks are a selected subset.
Simon Willison30 Simon Willison18 Simon Willison releases llm-keys-ui 0.1, an API-key setup interface for Codex Remote
Simon Willison has released the llm-keys-ui 0.1 plugin, which configures API keys on a remote machine without requiring users to paste them into the ChatGPT app.
Greg Brockman · X58 ChatGPT integrations now support connecting multiple accounts
Most ChatGPT integrations now let users connect multiple accounts, bringing work and personal context into the same conversation. Accounts can be connected in the integrations directory. Developers do not need to make changes; the feature works automatically. If an MCP server adds a profile tool, ChatGPT can also label the accounts.
GitHub Blog · AI & ML22 GitHub Podcast unpacks AI hot takes: should you read code, is RAG dead, and did Skills kill MCP?
The latest GitHub Podcast examines five popular AI claims. AI-generated code still needs to be read and owned, with review effort scaled to risk; Skills and MCP address different needs, with Skills packaging team expertise and MCP standardizing connections to tools and data; and RAG is not dead, since it can coexist with agents, Skills, and MCP in one workflow. The episode also discusses judging AI fluency in hiring and how fine-tuning needs can signal codebase maintainability problems.
Latent Space62 AINews roundup: Claude Code Projects, hosted Gemini agents, and Jev classification models
Latent Space's AINews roundup covers developments from September 16–17. Anthropic launched Projects in Claude Code, allowing a single conversation to spawn parallel cloud sessions, pass context between threads, and keep running after the user leaves; local-workflow support is planned later.
OpenAI News42 OpenAI rethinks advertising with AI, Sponsored Agents, and HubSpot and Shopify integrations
OpenAI has introduced new AI-powered advertising experiences, including Sponsored Agents and tools for marketers, with HubSpot and Shopify integrations.
Mistral AIPicks60 Mistral partners with Mozilla to power Firefox Smart Window
Mistral has announced a partnership with Mozilla: the beta AI browsing assistant Firefox Smart Window is now powered by Mistral models. It helps users understand complex searches, find pages they previously visited, and organize information from browser tabs.
Why it matters: Mistral and Mozilla are bringing open models into a browser entry point, offering a view of how open models may reach consumer users.
Google Research42 Google Research proposes ToolGrad, generating tool-calling datasets efficiently with textual 'gradients'
Google Research proposes ToolGrad, a “answer-first, question-second” approach to generating tool-use data: first create a ground-truth tool-call chain, then work backward to infer the user's prompt, using just one LLM call.
Hugging Face BlogPicks62 Hugging Face rebuilds AUTOMATIC1111 with Gradio Workflow: 73 nodes across 11 media pipelines
Hugging Face has released Workflow1111, using Gradio Workflow to rebuild most AUTOMATIC1111 features on a single workflow canvas.
Why it matters: The article shows how 73 nodes were used to rebuild A1111's features, offering a basis for comparing node-based workflows with ComfyUI.
OpenAI NewsPicks60 OpenAI releases Agents API
OpenAI has released the Agents API, a hosted service powered by the Codex harness for building and launching agents in the cloud. It supports orchestration, long-running sessions, and tool calls.
Why it matters: OpenAI is offering Codex's orchestration capabilities as a hosted service, giving readers a signal of how the barrier to deploying cloud agents may change.
Hugging Face BlogPicks71 Hugging Face releases funes, a memory layer owned by coding agents
Hugging Face has released funes, a persistent memory layer for Claude Code, Codex, pi, and Hermes. It builds an index from existing local sessions and connects to an agent with a single command.
Why it matters: funes turns coding-agent session histories into searchable local memory and offers a way to share it across machines and agents.
Mistral AI50 Mistral Studio adds system-level versioning and governance for Prompts and Skills
Mistral Studio now offers customers centralized management for Prompts and Skills, each with version history, clear ownership, and traceability. Published versions are immutable. The system supports version comparisons, rollbacks, classification tags, audit logs, and direct access through an MCP server. Assets can move from being visible only to their creator to a workspace or the entire organization; data remains within the enterprise boundary.
Mistral AI52 Mistral AI adds admin controls, API-key scoping, and a debugger to Connectors
Mistral AI has added several capabilities to Connectors. Admin controls are generally available, letting workspaces or organizations set access and toggle tools individually. Scoped API keys, also generally available, prevent automated AI workloads from impersonating a user. Multi-account connectors, also generally available, let one connector link multiple accounts.
Andrej Karpathy · X62 Karpathy on Claude Tag: the third paradigm shift in LLM interaction
Anthropic has introduced Claude Tag, letting Claude join Slack as a team member with access to designated channels and tools; users can delegate tasks by mentioning it. Karpathy calls this the third major redesign of the LLM interface: first came visiting websites, then downloading apps, and now an autonomous, persistent, asynchronous entity with organization-wide tools and context working alongside human teams. He says this requires deep engineering across tools, integrations, compute environments, memory, and security, but is achievable.
Mistral AIPicks80 Mistral upgrades Le Chat to unified agent Vibe, introducing Work Mode and Code Mode
Mistral has upgraded Le Chat to Vibe, a unified AI agent with one license for both work and coding. Existing conversations, settings, and plans remain available.
Why it matters: Mistral has turned Le Chat into a unified agent called Vibe, giving readers a view of how one product can support long-running work and coding tasks.
Mistral AIPicks62 Mistral AI releases public preview of Search Toolkit
Mistral AI has released the public preview of Search Toolkit, a composable framework for building production-grade search pipelines for AI applications. It is open-source and supports cloud, on-premises, and edge deployments. Ingestion, retrieval, and evaluation share one interface, with built-in BM25 sparse retrieval, dense-vector retrieval, and hybrid configurations, plus metrics such as recall, precision, MRR, and NDCG.
Why it matters: Mistral brings ingestion, retrieval, and evaluation into one framework, offering a way to assess RAG retrieval quality separately.
Mistral AIPicks62 Mistral launches Connectors in Studio with built-in and custom MCP support
Mistral has released Connectors in Studio as a public preview. Built-in and custom MCP connectors can be used through the API or SDK with all models and agent calls. New direct tool calls let developers decide when tools are invoked, and human-in-the-loop approval lets applications confirm before a tool executes.
Why it matters: The source gives code paths for registering and calling connectors and for human approval, helping readers assess changes to enterprise tool integration.
Mistral AIPicks71 Mistral AI releases public preview of Workflows
Mistral AI has released Workflows as a public preview of its enterprise AI orchestration layer. It offers persistent execution, observability, and fault tolerance to take AI processes from proof of concept into production. Organizations including ASML, ABANCA, CMA-CGM, France Travail, La Banque Postale, and Moeve already use it to automate key workflows.
Why it matters: The source describes Workflows' persistent execution, observability, and human approval features, helping readers assess the orchestration requirements for enterprise AI deployments.
Mistral AI36 Mistral AI launches Spaces, a CLI for humans and AI agents
Mistral AI has released Spaces CLI, a command-line tool for both human developers and AI agents. Commands such as `spaces init` and `spaces dev` can scaffold a multi-service project with hot reload, a database, and a Dockerfile.
Mistral AIPicks60 Mistral releases Leanstral, an open-source coding agent for Lean 4
Mistral has released Leanstral, which it calls the first open-source coding agent for Lean 4. It uses a sparse architecture with 6B active parameters; weights are available under Apache 2.0, and the agent is integrated into Mistral Vibe and the free `labs-leanstral-2603` API endpoint.
Why it matters: Mistral has open-sourced a Lean 4 coding agent and reports cost and score comparisons with Claude models and open models, helping readers assess the value of formal-verification approaches.
Mistral AIPicks62 Mistral builds an agent with Vibe to write Rails tests automatically
Mistral used its open-source coding assistant Vibe to build an autonomous agent that reads Rails source files, generates or improves RSpec tests, and runs in CI/CD without human intervention.
Why it matters: Mistral has shared the full setup for an agent that writes RSpec tests, including a three-layer design with AGENTS.md, skills, and custom tools.
Mistral AIPicks62 Mistral releases Vibe 2.0, a terminal coding agent powered by Devstral 2
Mistral has released Vibe 2.0, a terminal-native coding agent powered by the Devstral 2 family. New features include custom subagents, multiple-choice clarification, slash-command skills, a unified agent mode, and automatic updates.
Why it matters: The official release details Vibe 2.0's custom subagents, slash-command skills, and billing, helping readers assess how to use and budget for a terminal coding agent.
Mistral AIPicks82 Mistral releases Devstral 2 coding models and Mistral Vibe CLI
Mistral AI has released the next-generation Devstral 2 coding-model family, comprising Devstral 2 at 123B and Devstral Small 2 at 24B. Both are open-source, under modified MIT and Apache 2.0 licenses respectively.
Why it matters: The article reports the two open coding models' sizes, licenses, SWE-bench results, and head-to-head comparisons with closed models, helping readers assess the current level of open coding agents.
Mistral AIPicks62 Mistral adds custom MCP connectors and Memories to Le Chat
Mistral has launched a beta directory of more than 20 secure MCP-based connectors in Le Chat, spanning data, productivity, development, automation, and business. It connects to tools including Databricks, Snowflake, GitHub, Atlassian, Asana, Outlook, Box, Stripe, and Zapier, and supports custom MCP connectors and arbitrary remote MCP servers.
Why it matters: The source lists connector categories and deployment options, helping readers assess whether Le Chat can connect to existing enterprise workflows.
Mistral AIPicks76 Mistral AI releases Agents API with built-in connectors and multi-agent orchestration
Mistral AI has released the Agents API, combining its language models with built-in connectors for code execution, web search, image generation, and MCP tools, as well as persistent memory across conversations and agent orchestration.
Why it matters: The official release details built-in connectors, persistent memory, and multi-agent orchestration, helping readers assess how to build enterprise agent platforms.
Mistral AIPicks60 Mistral releases Le Chat Enterprise, powered by Mistral Medium 3
Mistral has released Le Chat Enterprise, an AI assistant for businesses powered by the new Mistral Medium 3 model. It offers enterprise search, an agent builder, custom data and tool connectors, document libraries, custom models, and hybrid deployment. All features will roll out over the next two weeks.
Why it matters: Mistral combines enterprise search, agent building, and hybrid deployment in one platform, offering a view of how enterprise AI purchasing is consolidating.
Mistral AI34 Mistral AI uses agent workflows to automatically generate PRDs and engineering tickets
Mistral AI has introduced the TranscriptToPRDTicket agent workflow, powered by Mistral Large 2. Its PRDAgent and TicketCreationAgent turn meeting transcripts into PRDs and structured development tickets, then create them automatically in project-management tools such as Linear and Jira.