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MCP & tool use Latest news

Protocols and practice for connecting models to external systems: MCP, function calling, and toolchain integration.

29 picksPast 30 days: 16 itemsTotal: 211 items

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MCP & tool use top picks

Oct 8

TodayOct 8ThuItems 1–20
  1. LangChain BlogAI score67

    LangChain's Restock agent shows how to build a payment-capable AI agent

    LangChain built Restock, a sample office-supply agent that runs in Slack on Managed Deep Agents and pays through Stripe's Link wallet. The agent searches products, builds a cart, and pays over the Machine Payments Protocol, with the user approving the purchase in Slack and the payment in Link. The post uses a pens order at $22.18 to show the flow from request to confirmed order.

    AIWhy it matters: The post walks through how an agent handles search, budget limits, Slack review, and Link approval, showing where each control sits outside the model.

Oct 7

Oct 7Wed
  1. Mastra BlogAI score60

    Mastra Connect adds ready-made tools for services like Linear and Notion

    Mastra Connect is a public beta that lets Mastra projects connect providers such as Linear, Notion, and Slack, giving agents and workflows ready-made tools. Connect launches with 23 providers, almost 900 tools, and 7 hosted MCP providers, and it is free to use on Mastra platform during beta. Developers can add connections via the CLI or dashboard, limit tools with glob filters, and call a provider's SDK directly with credential() when a tool is missing.

    AIWhy it matters: The post shows how connected services become agent tools, and how credentials and access limits are managed, which is useful for building agent workflows.

  2. LangChain BlogAI score63

    Managed Deep Agents v0.9 adds agent schedules, per-run configuration, and Slack reactions

    LangChain released Managed Deep Agents v0.9 in Public Beta, adding a Schedules SDK, per-run agent configuration, and Slack reactions. Agents can create reminders, follow-ups, and recurring tasks mid-conversation, running as the requesting user and posting results back to the originating channel. Per-run configuration lets one deployment choose the model, instructions, skills, MCP servers, and sandbox based on the run's context, and Slack reactions are on by default with a 👀 emoji.

    AIWhy it matters: The release shows how one agent deployment can be configured per run by channel or repo, separating tool access from model instructions.

Oct 6

Oct 6Tue
  1. Sierra BlogAI score62

    Sierra and Meta announce Personal Agent Protocol, an open standard for personal agents

    Sierra and Meta are developing Personal Agent Protocol, an open standard defining how personal agents interact with businesses, with industry partners including Genesys, Instinct, Rocket, Shopify, Stripe, and Walmart. The protocol uses OAuth sessions where consumers choose read-only or write access and companies choose whether agents reach them through websites, APIs via MCP and OpenAPI, or their own agents. The authors plan to publish the v0.1 specification later this month along with a reference implementation.

    AIWhy it matters: The post specifies how personal agents would authenticate and reach businesses through websites, APIs, or company agents, which matters for anyone building agent integrations.

Oct 3

Oct 3Sat
  1. Hugging Face BlogAI score67

    Microsoft ThinkingBox grades AI agents on database state across 20 repeated runs

    Microsoft and Hugging Face released ThinkingBox, a benchmark that grades AI agents on the terminal backend state and side effects they leave behind rather than their final responses. Each of 507 stateful business tasks runs 20 times from a clean backend, and the post reports pass@1, pass@20, and observed 20/20 counts, plus cost per successful and per dependable task across 18 models. The harness and dataset are available on Hugging Face, with the OpenEnv interface for running evaluations.

    AIWhy it matters: The post shows why checking the database state, not tool calls or final replies, exposes agent failures, and gives a repeat-run method for judging reliability.

Oct 2

Oct 2Fri
  1. Prime Intellect BlogAI score67

    Prime Inference launches serverless and reserved serving for open frontier models

    Prime Inference is a serving platform for frontier open-source models, offering serverless endpoints and reserved capacity on Prime's GPU infrastructure across multiple datacenters. Its first public deployment, GLM-5.3, went live on OpenRouter on September 22, and the post reports a near-zero tool-call error rate and 100% uptime since launch. The post also describes GLM-5.3 serving on GB200 NVL72 with prefill/decode disaggregation and NVFP4 KV compression.

    AIWhy it matters: The post separates scheduler, KV-cache, and tool-call fixes, showing concretely which bottlenecks shape production serving of open frontier models.

Sep 29

Sep 29Tue
  1. Replit BlogAI score62

    Replit Agent lets the core model choose subagents and effort instead of a router

    Replit explains how its Agent lets the core model pick subagent tier and effort mid-task rather than relying on an external router. On DeepSWE and Terminal-Bench, Replit Agent scored 72% at $2.11 per task and 49% at $2.53 per task, beating a single long-lived worker sidekick setup by 11 and 16 points. The company says Astra on its own scores higher only at more than twice the cost.

    AIWhy it matters: The post gives a concrete harness design with benchmark cost-score comparisons, helping builders weigh delegation strategies against routers and single-worker setups.

Sep 28

Sep 28Mon
  1. Cat WuAI score72

    Claude Sonnet 5.5 Lifts Claude Code Task Completion by About 30%

    Anthropic's Cat Wu says Claude Sonnet 5.5 lets Claude Code users complete about 30% more tasks than with Sonnet 5. The model needs fewer tokens for the same work, and in a leaf-raking tool-call demo it finished 24 seconds faster using 6K fewer tokens.

    AIWhy it matters: The post gives a measured Claude Code task-completion gain and a token-use example, showing what the model upgrade means for a coding agent workflow.

Sep 24

Sep 24Thu
  1. Azure BlogAI score67

    Microsoft Foundry adds voice agents and continuous optimization for production agents

    Microsoft Foundry expands its agent platform with voice agents in public preview, long-running resilience for hosted agents, and tools for evaluating production agents. The post also says GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are now available in Foundry. Agent optimizer, Insights, and Rubric evaluator are described as tools for continuous improvement, with some reaching general availability later this month.

    AIWhy it matters: The post shows how Foundry combines model choice, voice agents, long-running resilience, and production evaluation into one agent workflow, with a customer example.

  2. Microsoft Foundry BlogAI score61

    Microsoft Foundry Routines reach general availability for scheduled and event-driven agents

    Microsoft announced general availability of Routines in Foundry Agent Service, a managed way to run agents on a timer, on a recurring schedule, or in response to GitHub issue events and new Microsoft Teams channel messages. Routines keep the trigger, agent action, identity, connections, and run history in the Foundry project, and each routine can run under the creator's identity or the agent's own Microsoft Entra ID identity. A preview reminder tool lets a Hosted Agent schedule itself to resume later on the same conversation.

    AIWhy it matters: The post explains how scheduled, event-based, and self-reminding agent runs are managed in one place, along with the creator versus agent identity choice for unattended tasks.

Sep 23

Sep 23Wed
  1. Google Developers BlogAI score62

    Google Cloud API Gateway can now expose REST APIs as MCP tools in preview

    Google Cloud API Gateway now acts as a remote MCP server in Public Preview, making REST operations in an annotated OpenAPI 3.0.x or 3.1.x spec available as agent-ready MCP tools. Existing JWT or API-key authentication, quotas, and logging apply to MCP calls, so teams do not need a separate MCP server. Current limits include no support for OpenAPI 2.0, a maximum of 1,000 tools per gateway, and no MCP and model routing in the same API config.

    AIWhy it matters: The post shows how an existing OpenAPI spec becomes agent-callable MCP tools, with the same auth and quota policies applied, which helps teams avoid building a separate MCP server.

  2. Greg BrockmanAI score67

    ChatGPT Voice gains plugins and ChatGPT Work access on web and mobile

    ChatGPT Voice can now use plugins such as email, calendar, and Slack, and it can be powered by GPT-6 Astra, Sol, and Luna. It is also available in ChatGPT Work on web and mobile for creating docs, decks, sites, and spreadsheets by voice, rolling out globally in the latest app version.

    AIWhy it matters: The quoted OpenAI post names the new voice tool access, supported models, and Work integration, showing how voice now acts across workflows.

  3. Comfy BlogAI score62

    Comfy Router launches one API for frontier image, video, 3D, and audio models

    Comfy Router is now live on the Comfy Developer Platform, giving developers one API to call frontier image, video, 3D, and audio models. Day one models include Seedance 2.5, MiniMax H3, Nano Banana Pro, GPT Image 2, Kling, and Black Forest Labs, and the provider for each job is selectable. Requests fail rather than silently switching providers, and inputs and outputs are deleted after 24 hours.

    AIWhy it matters: The post shows how one API key and a provider parameter let developers swap routes for media models without rewriting calls, with failed requests reporting the provider.

Sep 17

Sep 17Thu
  1. Google AI StudioAI score80

    Google updates Gemini managed agents with Files and Credentials APIs

    Google AI Studio released antigravity-preview-09-2026, an updated harness for Gemini managed agents, now live in the Interactions API and AI Studio and running on Gemini 3.8 Flash. The release adds a Files API for moving data into and out of the agent's sandbox and a Credentials API that stores secrets encrypted so the model never sees them.

    AIWhy it matters: The post shows what changed in the agent harness and how the new Files and Credentials APIs keep secrets out of the model's context, useful for developers building agents.

Sep 15

Sep 15Tue
  1. Google AI StudioAI score72

    Google releases Gemini 3.8 Live and 3.5 Transcribe for real-time voice apps

    Google AI Studio released Gemini 3.8 Live, a native speech-to-speech model with an Extended Thinking variant, and made it available through the Live API. Gemini 3.5 Transcribe, released last month, supports 85+ languages with a reported 4.0% streaming and 2.6% non-streaming Word Error Rate, and accepts a custom vocabulary of up to 1,000 terms. Live API audio pricing is listed at $0.005/min for input and $0.018/min for output.

    AIWhy it matters: The post lists concrete Live API capabilities, per-minute audio pricing, and transcription accuracy figures, helping developers weigh voice agent options against their own cascaded pipelines.

Sep 9

Sep 9Wed
  1. Microsoft Foundry BlogAI score62

    Microsoft Foundry's July and August 2026 updates bring Hosted Agents and Toolboxes to GA

    Microsoft Foundry's July and August 2026 updates make Hosted Agents, Voice Live integration, and Toolboxes generally available. The post adds Claude tools on Azure, Model Router region and model pool changes, Foundry Local preview features, and updated Python, JavaScript, Java, and .NET SDK versions with migration notes.

    AIWhy it matters: The roundup links each GA and preview change to code examples, migration notes, and runtime requirements, which helps developers judge what to upgrade and test first.

Aug 27

Aug 27Thu
  1. Anthropic · YouTubeAI score62

    Anthropic and HHMI Janelia launch Model Hardware Standard for AI lab equipment

    Anthropic is building the Model Hardware Standard (MHS), a common way for AI models to connect to lab and manufacturing equipment and operate it with safety limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus and is launching as a research preview with partners across science, robotics, and manufacturing.

    AIWhy it matters: The source describes a standard for connecting AI models to lab and manufacturing hardware, which matters for anyone building automated experimentation workflows.

Aug 24

Aug 24Mon
  1. PromptArmor Threat IntelligenceAI score80

    Microsoft Copilot Cowork sandbox bypass let attackers take remote control

    PromptArmor disclosed a vulnerability in Microsoft Copilot Cowork that allowed a bypass of the sandbox, letting attacker servers send commands that run in the sandbox and return results. The attack could be triggered through a prompt injection or a malicious bundled script in a user-uploaded Skill, and it could read data from Outlook, SharePoint, plugins, and chat history. The issue was reported to Microsoft on June 24, 2026 and confirmed mitigated on August 19, 2026.

    AIWhy it matters: The report traces how a malicious bundled script in an uploaded Skill escaped the sandbox and kept running after the stop button was pressed, a concrete case of agent security failure.

Aug 17

Aug 17Mon
  1. Microsoft Foundry BlogAI score62

    Microsoft Foundry adds five Claude agent features to Azure-hosted deployments

    Microsoft Foundry now offers structured outputs, web search, web fetch, MCP connector, and tool search for Claude models on Azure-hosted deployments. Prompts and completions remain within Azure for these deployments, while only usage metadata and safety-flagged content egress to Anthropic. The features were previously available only on Hosted on Anthropic deployments, which required choosing between capability and data-handling commitments.

    AIWhy it matters: The post shows which agent scaffolding now runs on Azure-hosted Claude deployments, which matters for teams needing data residency without rebuilding search, fetch, or tool routing.

Aug 13

Aug 13Thu
  1. DeepSeekAI score68

    DeepSeek Harness v0.1 enters Developer Preview as an open-source agent harness

    DeepSeek has released DeepSeek Harness v0.1 in Developer Preview, opening the codebase under the MIT license for developers building agent harnesses. The harness is built on the Cordis meta-framework and treats models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI as plugins that can be mixed, matched, replaced, and extended.

    AIWhy it matters: The source specifies the MIT license and a plugin-based architecture covering models, tools, and sessions, which helps developers assess extensibility before adopting it.