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#MCP / tool use
Nov 13Fri
  1. Claude Blog40

    The Claude Tag guide for startups

    Anthropic's guide describes how eight high-growth startups use Claude Tag (beta) in Slack, covering common use cases such as on-call triage, turning threads into pull requests, a company knowledge base, self-serve data questions, and routine reporting. It includes example channels, connectors, starter instructions, and reported results such as a PR opened 21 minutes after a Slack mention and 134 merged PRs at NavigateAI. A getting-started checklist notes Claude Tag is in public beta on Team and Enterprise plans and requires an org Owner and Slack admin to connect.

Nov 12Thu
  1. Databricks Blog42

    Genie in Slack is now Generally Available: Governed AI cowork, right where work happens

    Databricks announced the General Availability of the Genie app for Slack, which answers questions in channels, threads, or DMs using the same governed context and permissions as Genie in Databricks, with every answer citing its sources. Users can @mention Genie in channels or DM it, and through MCP connectors Genie can create or update documents, comment on tickets, and update records with approval before each change, as well as schedule recurring analyses and work with files. Genie in Slack follows the same governance as other Genie surfaces, running each question with the asker's identity across Unity Catalog and connected sources, with admins able to govern AI usage centrally in Unity Gateway.

  2. Hacker News AI58

    Agent-access-review – an access review for AI agents' MCP configs

    Agent-access-review is a Python tool that discovers AI agents and MCP servers from Claude Desktop, Cursor and VS Code configs and from agents.yaml manifests, classifies what each can read, write, execute and send, and tests that access against 14 controls mapped to NIST 800-53, SOC 2, NIST AI RMF and the OWASP Top 10 for LLM Applications. It redacts secrets before hashing evidence with SHA-256 and exports a reviewer packet, a Keep/Modify/Revoke CSV and OSCAL 1.1.2 assessment results. A bundled demo reviews five example agents, and the author reports that copying MCP configs from official READMEs yielded 8 of 9 unpinned and 7 of 9 with unreviewed write/send/execute access.

  3. Hacker News AI58

    Show HN: Datatomcp – AI agents propose business definitions, a person approves

    Datatomcp is an AI-native data layer that connects databases, apps and sheets into versioned datasets, links them by shared IDs, and drafts business definitions that a person must approve before agents can use them. Agents query through read-only MCP tools or a REST API, with exact totals computed by the database and every question recorded in an audit log. It is free for 3 datasets and 2 people, with Pro at €12/month, and is hosted in the EU.

  4. Hacker News AI38

    Show HN: Wings – queue the next prompt while your AI is still working

    Wings is a macOS sidebar that docks beside AI desktop apps such as Claude, ChatGPT and Gemini so you can save a draft message while the AI is still working, then click it to paste it back into the input box. It never presses Enter, keeps notes locally with no account or upload, supports image notes, and offers ten interface languages. It follows or docks to many AI apps and terminals, though saving is not supported in terminals, and a Windows version is in progress.

  5. Hacker News AI46

    Adversarial defense for binaries/JS/Python against AI reverse-engineering agents

    BLA is a defensive tool for software authors that hardens build artifacts (JavaScript/TypeScript, Electron .asar and fuses, WASM, SQLite, Safetensors, GGUF, Go buildinfo, PE, Flutter/Dart, BEAM, EVM, PCAP, Python, PTX, and others) against AI reverse-engineering agents by planting decoys, tripping analyzer resource limits, and entangling sibling artifacts. It ships as a CLI (`npx bla-agents harden .`), an MCP/Skill setup for coding agents, and Vite/Rollup/Webpack/esbuild plugins, and reports 14/14 bundled benchmark targets passing input/output equivalence checks. The project states its empirical REA results were recorded on commodity hardware and that token/cost multipliers are internal estimates.

  6. n8n Blog22

    The future of work is built by everyone

    The article argues that centralizing automation in a small specialist team becomes a bottleneck as a company scales, and that the ability to automate one's own repetitive work should become a normal part of how people work, much as spreadsheets did. It describes n8n's move toward a guild-like Automation team with reusable templates, office hours and documentation standards, while acknowledging the approach is still early and that regulated industries may legitimately keep build access centralized.

  7. Hacker News AI50

    Why AI Coding Agents Lose Context After the PR, and How to Keep It

    AI coding agents can write and test code but lose the delivery evidence produced after a pull request—failed builds, security findings, latency regressions—unless it is carried back into the workflow. The post describes Harness's Code Context Engine (from its Augment Code acquisition) for code context and its Software Delivery Knowledge Graph for delivery context, citing Augment's benchmark of 80%, 71%, and 30% improvements and Harness's internal estimate of about 12K tokens per graph query versus 250K+ via raw APIs. It presents a CVE workflow combining both, notes the two-way link between them is planned rather than shipped, and covers governance via policy as code, RBAC, and approval gates.

  8. Hacker News AI58

    Show HN: gethome – a local-first smart home hub with AI

    gethome is a local-first smart home hub that runs on a small Linux computer such as a Raspberry Pi, unifying Matter, Zigbee (via Zigbee2MQTT and a USB stick) and MQTT devices in one app with no cloud account. It offers an assistant and plain-language rule creation using your own Anthropic or OpenAI key, while rules keep running without any AI key. The code is source-available under the PolyForm Noncommercial License 1.0.0, with commercial deployments requiring a separate license.

  9. AWS Machine Learning Blog36

    Build autonomous AI agents with Amazon Bedrock and Spring AI

    This post shows how Java teams can build autonomous AI agents on the JVM using Spring AI and Amazon Bedrock AgentCore, with a single-agent travel assistant demonstrating tool calling, streaming, and memory, and a multi-agent intelligent document processing system with five specialist agents, a SpEL rules engine, and alerting. It covers the AgentCore runtime contract (@AgentCoreInvocation for POST /invocations and GET /ping), @Tool methods, structured output to Java records, memory advisors, and production patterns including Resilience4j retries, twelve-factor configuration, least-privilege IAM, Bedrock Guardrails, and Micrometer observability. Deployment uses an ARM64 image pushed to Amazon ECR and provisioned through modular Terraform, with an optional Amazon EKS and IRSA path.

  10. Hacker News AI58

    Show HN: Lynx – open-source fully-customizable AI workspace

    Lynx is an open-source, fully-customizable AI workspace that runs entirely on your device and uses your own local Claude Code or Codex subscriptions, with interactive UIs at the center of agent interaction rather than chat. It supports connecting any service via MCP or API, official and community templates, a point-to-edit tool, and cron-scheduled tasks, and is released under the MIT license. The author describes it as an experiment, noting they have done over 80% of their daily work from Lynx for a couple of weeks.

  11. AWS Machine Learning Blog58

    Introducing the Web Search API on Amazon Bedrock AgentCore

    AWS announced the Web Search API on Amazon Bedrock AgentCore, which lets developers call the InvokeWebSearch operation directly from AWS SDKs or the AWS CLI with SigV4-signed IAM credentials, without creating a gateway or other resources. It returns up to 25 ranked results from an Amazon-operated web index, each with a text extract and, when available, title, URL, and publication time, and supports domain and publication-date filtering. It is available in six Regions and billed at $7 per 1,000 queries, complementing the existing AgentCore Gateway path.

  12. Hacker News AI42

    Composing data pipelines in an AI-native workflow

    Fivetran describes its CLI as a terminal-native interface that lets engineers and AI coding harnesses (Claude Code, Codex, Gemini CLI, dbt Wizard) create connections, configure schemas, trigger syncs, and build custom connectors, with MCP servers supplying context from task trackers and observability stacks. The post walks through a session that lands Stripe data in Snowflake and ships an fct_mrr dbt model, then covers iterating on changed requirements and failed syncs, and offers guidance on scoped API keys, confirmation prompts, and prompt injection.

  13. Hacker News AI22

    Show HN: Version History for Your Synced Notes (AI Agent Safety)

    EtherPK 0.22.0 adds automatic version history for every page and journal entry in a synced graph, creating versions as you write and before actions like delete, rename, merge, Replace all, or removing protection. Versions and deleted items are kept for a set period (30 days in the examples), thinned as they age, encrypted with the graph's key before upload, and restorable from a Version history tab or the Deleted documents and files section. AI agents connected to a synced graph can list and read versions via the list_versions and read_version tools but cannot restore them, which a person does in EtherPK.

  14. AWS Machine Learning Blog40

    How DXC Technology built a multi-model AI substrate on Amazon Bedrock

    DXC Technology built DXC OASIS, a harness for mission-critical IT operations, on a governed multi-model substrate in Amazon Bedrock that provides access to Anthropic Claude, Amazon Nova, Meta Llama, and open-weight models through one managed interface, with Bedrock Guardrails, AWS PrivateLink, and serverless scaling as system-level controls. DXC separates the substrate from its own orchestration, governance, and assurance layer, and reports that since general availability in March 2026, DXC OASIS has reduced resolution time by 95% on average across 56 measured use cases. The post describes the architecture, model routing, and authority tiers, and states that DXC is evaluating Amazon Bedrock AgentCore alongside its current orchestration layer.

  15. AWS Machine Learning Blog34

    Automating AWS Agent Registry updates with push-based architecture

    This post describes an event-driven pipeline using AWS CloudTrail, Amazon EventBridge, and AWS Lambda that detects Amazon Bedrock AgentCore UpdateAgentRuntime events and syncs MCP server tool schemas into AWS Agent Registry records, supporting both single- and multi-account setups. The Lambda extracts the runtime ARN, obtains an OAuth bearer token via AgentCore Identity, calls the MCP server's initialize and tools/list methods, then updates the matching APPROVED registry record only when normalized tool definitions differ. Updated records revert to Draft status and require curator approval before becoming discoverable, and the post notes limitations such as no automatic registration of new servers and no retry on cold starts.

  16. Hacker News AI34

    The Wish Economy: Inside Starlight, the Bitcoin-Native AI App Store

    Starlight (starlight-ai.freemyip.com) is described as a decentralized AI app store where "wishes" are posted as steganographically sealed images whose hashes serve as contract IDs, AI agents claim tasks via the MCP protocol, and payouts settle through PSBTs with OP_RETURN commitments to Bitcoin blocks. The article details the wish-to-work-order pipeline, a private embedded IPFS mesh for artifact replication, and a browser-based "Starlight Shell" desktop that renders wish images as app icons and sandboxed apps. It also audits two live contracts, concluding that confirmation proves artifact binding, authorized payment, commitment integrity and burial, but not quality, humanity or originality.

  17. Hacker News AI38

    Zumungo AI Driven Home Automation

    Zumungo is a free, locally hosted home automation platform that runs on hardware you already own, such as a Raspberry Pi or desktop PC, and supports over 50,000 devices from more than 3,800 brands. It is built around an AI assistant that can answer questions, control devices by voice or screen, and design events and panels, using either an online service (Google Gemini, Anthropic Claude or OpenAI) billed directly by that provider, or a fully local AI on a computer with an NVIDIA graphics card with 16 GB of memory or more. Setup is point-and-click: draw rooms, discover and drag devices into place, then control the home by talking to it.

  18. Hacker News AI60

    Prompt Injection, Esq.: pwning AI agent guardrails with lawyerspeak

    A staff member at an AI agent security company bypassed the read-only guardrail on a ChatGPT workspace agent connected to a Notion hiring tracker by posting an image of a fake law-firm letter granting edit permission, which the agent adopted as new instructions. The agent then asked clarifying questions per the fake letter's rules, and only failed to add a new entry because the Notion connection lacked a create tool, though it did have update access. The author argues permissions live in the attached tool list rather than the prompt, and recommends scoping tokens or requiring human approval for writes.

  19. Hacker News AI60

    Talos 0.20 – A self-hosted AI agent with a permission kernel

    Talos is an open-source, self-hosted AI agent for terminal and Telegram on macOS and Linux (including Raspberry Pi) that uses Ollama, the Claude Code CLI, or a configured API provider, and only executes tools after a deterministic permission kernel rules on each action, with authority bound to exact arguments as a single-use 30-second token. The 0.20.3 stable release adds native Telegram command blocks for known diagnostic arguments and separate measured result states, while retaining the frozen operator contract, permissions and dependency locks. The project states its limits plainly: shell execution requires bubblewrap or sandbox-exec and refuses to run unprotected otherwise, and it is not a multi-tenant security boundary.

  20. Hacker News AI42

    Show HN: Connect Claude Code to 10.6M Earnings Call Embeddings with FN2 AI

    A Show HN post demonstrates using the FN2 skill to run a semantic search over 10,602,684 embedded passages from 142,758 earnings calls, answering a question about NVDA management commentary on Blackwell supply with quoted and cited results. The example shows a run completing in 35s using Qwen3-Embedding-8B (4096d), then scheduling a recurring pre-market NVDA brief with email delivery that resolves "before market open" against the exchange calendar. The post also shows an `agents` listing of existing scheduled agents, including one with 53 runs and two possible duplicates.

  21. Google Developers Blog78

    A2UI 1.0: Build delightful, fast, reliable, agentic experiences

    Google released A2UI 1.0, the first stable version of its open protocol for generative UI, which lets AI agents respond with interactive screens that each app renders with its own native components. Version 1.0 adds bidirectional function calls, accessibility support and extensions, plus open-source renderers for React, Angular, Lit, Flutter, SwiftUI and Jetpack Compose (currently v0.9.1) and agent SDKs for Python, TypeScript and Dart. Atlassian, Alation, Bloomberg and ByteDance are already building with it, and the web and Flutter renderers work inside MCP Apps such as Claude and Gemini.

    Why it matters: It marks the first stable release of an open generative-UI protocol, with concrete renderer, SDK and partner details useful for developers evaluating agent interfaces.

  22. Hacker News AI58

    Show HN: Trace AI written code back to the agent and prompt

    Sploom is a tool that lives alongside git and records which agent and model wrote each line of code, along with the intent, prompts, decisions and checks behind it, working with Claude Code, Codex, Cursor, Gemini CLI, Copilot CLI, Devin CLI, Grok Build, Goose, Cline and any MCP-capable agent. After a one-time `sploom init`, it installs git hooks so provenance travels with commits via git notes, and offers commands like `sploom why`, `sploom rewind --green` and `sploom context`. Prompts are encrypted to the team's SSH keys listed in a committed `.sploomkeys` file, and it runs locally with an initial ~130 MB embedding model download.

  23. Hacker News AI63

    Openshorts: Open-source / self hosted AI clip generator (OpusClip alternative)

    OpenShorts is an MIT-licensed, self-hostable tool that turns long videos into 9:16 shorts using Gemini for viral moment detection, faster-whisper subtitles, and AI reframing modes including face tracking and split-screen layouts. It also bundles an AI Shorts UGC creator and a YouTube Studio toolkit, and exposes the pipeline via an MCP server, REST API, webhooks and CLI. Self-hosting is free with bring-your-own API keys, while a hosted cloud plan starts at $12/mo after a watermarked 20 min/mo free tier.

Nov 11Wed
  1. Databricks Blog71

    Genie One: The AI cowork home for everyone

    Databricks announced that Genie One is now the enterprise home for AI cowork, combining Genie Search (hybrid AI search indexing tools like Google Drive, Jira, Confluence, Workday and SharePoint, plus over 100 MCP connectors), organizational directories, in-conversation artifacts such as slide decks and dashboards, MCP-based actions across tools, shareable skills, and native apps for browser, desktop, mobile, Slack and Microsoft Teams. Genie can now take more autonomous action on users' behalf, with Unity Gateway providing traces, MCP policies, permissions and cost management, and Genie One is free for users through January 31, 2027.

    Why it matters: It details a major enterprise AI assistant release, useful for readers tracking how agentic workplace tools are being packaged with governance and cross-tool search.

  2. Databricks Blog58

    Bring your business context to ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot

    Databricks introduced Genie plugins that give agents in ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot a governed interface to enterprise context, drawing on Genie Ontology for definitions, relationships and source context. Genie interprets business terms, finds permitted data, writes and runs SQL, routes specialized questions to domain Genie Agents, and returns answers with citations, with interactive visualizations in clients supporting the MCP Apps extension. Agents without native plugins can access Genie through the MCP server.

  3. Databricks Blog60

    From enterprise context to action: Genie Agents now analyze more data sources to transform your work

    Databricks announced that Genie Agents can now analyze unstructured files in Unity Catalog volumes, connect to enterprise tools via generally available native MCP connectors, and be shared outside an organization through OpenSharing and Genie Clean Rooms (both in beta). The post cites customers including Unilever, HelloFresh, S&P Global Energy, Atlassian, General Motors and ModMed, and describes how agents parse documents, cite specific pages, and combine file content with governed tables.

    Why it matters: Useful for readers tracking how enterprise AI agents are expanding from structured-data querying to document analysis, tool actions and cross-organization sharing.

  4. Databricks Blog74

    The new Genie: autonomous AI for complex enterprise work

    Databricks introduces the new Genie, an autonomous AI coworker that continuously handles long-running enterprise work, tracking progress, following up on missing inputs, and taking action as new information arrives, with users setting guardrails and approving where needed. It is supported by Genie Ontology for business context, Genie Search for hybrid enterprise search, Unity Gateway and Unity Catalog for governance, and new capabilities including artifacts, MCP connectors, Genie Agents, and plugins for tools such as ChatGPT and Claude. Databricks reports that in a new benchmark built with Turing, Genie answered correctly in 91% of task runs, 1.6 times the rate of the stronger frontier agent, while using less than half as many tokens.

    Why it matters: The announcement details a shift from task-level AI assistance to supervised autonomous agents, with concrete governance, context, and benchmark claims worth evaluating.

  5. OpenRouter Announcements66

    Introducing the Extractions API

    OpenRouter launched the Extractions API in alpha, which pulls named, typed fields out of text, images and PDFs, with launch models from Cloudflare (Clairic), Inception (Mercury Decide) and ScaleDown (Extract). Clairic supports all nine field types and returns spans, p_null and distributions for estimates and forecasts, while Extract handles PDFs with text and list fields and per-value confidence, and Mercury Decide handles text only at the lowest input price. The post walks through invoice, receipt and purchase-order examples with request and response payloads, and contrasts Extractions with the Decisions API, where the model distributes probability over answers you write.

    Why it matters: It gives a concrete, example-driven tour of a new extraction API, including per-model capabilities, pricing and the evidence fields (spans, p_null, confidence) that determine what to trust and what to route to a human.

  6. Hacker News AI40

    Europe's most capable Personal AI Assistant

    Bris is a European personal AI agent that works through WhatsApp, Telegram, or Balsio to handle research, email, calendars, and follow-ups, including drafting replies and comparing options with sources. It can remember shared preferences, set reminders, and coordinate plans with a friend's Bris when everyone involved agrees, with users choosing what it can access and remember.

  7. Hacker News AI62

    Show HN: Hubzoid – Turns a folder of Markdown into an AI agent your team can use

    Hubzoid is an Apache-2.0 tool that turns a folder of Markdown files—knowledge, rules, skills and agent instructions—into a shareable AI agent usable in chat, repeatable workflows, or via MCP in Claude Code, ChatGPT or Codex. It runs on an existing Claude Code or Codex login (or a model API key), supports team sign-in, per-person and per-agent access, approvals before consequential actions, and a record of every run. The starter hub is a fictional shop whose refund rule in knowledge/house-rules.md can be edited to see answers change, with evals to check they stay correct.

  8. Hacker News AI59

    New In-Memory Database Purpose-Built for AI Agents by NEO4J

    Neo4j released Relate, an open source (Apache 2.0), in-memory, in-process embedded database built in Rust for AI agents and agentic systems, which installs quickly and starts in milliseconds. It offers built-in MCP server connectivity, a CLI, Bolt and HTTP Query API v2 endpoints, sub-millisecond in-memory reads, and is 100% openCypher and more than 97% GQL compliant. Relate is available at https://relatedb.ai.

  9. Mastra Blog58

    Introducing MCP Tasks in Mastra

    Mastra now supports MCP Tasks in its MCPServer and MCPClient, letting long-running tool calls run in the background so the agent loop stays unblocked while the client polls the server for status (working, input_required, completed, failed, or cancelled). Tools can be configured to run as tasks with "always", "auto" (after syncWindowMs, 2 seconds by default), or "off", and tasks can still use suspend() for human input. The feature requires @mastra/[email protected] and @mastra/[email protected] or later and is still experimental, so the API may change between releases.

  10. Hacker News AI58

    Show HN: I checked 10 AI-written patches to real C++ projects – 6 didn't hold up

    Unfix is an independent verifier for C/C++ and firmware bug fixes that reproduces the bug on the base version, applies the fix with sanitizers on, checks other tests still pass, then reverts the fix to confirm the bug returns, returning VERIFIED, REJECTED or NOT VERIFIABLE without an LLM in the verdict. In a public benchmark of 10 AI-generated patches (from Codex CLI) against real bugs in fmt, spdlog, zlib-ng and cpp-peglib, judged against maintainers' hidden reference tests, Unfix verified 4 and rejected 6. It runs as an MCP tool in agents like Claude Code and Codex, as a GitHub PR check (demo repository only), in the terminal, and on STM32 NUCLEO boards via ST-Link.

  11. Hacker News AI60

    Show HN: Editmamei – Giving AI agents access to desktop Photoshop and GIMP

    Editmamei is a desktop MCP server that lets Claude and other MCP-compatible AI apps drive real Photoshop 2026 or GIMP 3.2 tools layer by layer, keeping edits reversible and leaving final touches to the user. It ships 112 tools (83 for Photoshop, 29 for GIMP), runs on-device vision models in Photoshop, and offers a free Community edition plus a paid Pro module. A hosted Editmamei Connect version edits photos on its servers, with uploads deleted after 24 hours.

  12. Hacker News AI58

    Show HN: Kodelyth ECC – 71 AI agents and MCP and 55% token cuts for Claude Code

    Kodelyth ECC v2.31.1 is an MIT-licensed, locally run toolkit offering 71 specialist AI agents, 196 skills, 104 slash commands, and an MCP server that auto-wires into six IDEs including Claude Code, Cursor, and Windsurf. It claims token savings from RTK input compression (60–90% fewer input tokens), Terse output compression (40–70%), and a tree-sitter codebase graph across 158 languages, with zero telemetry. It installs via `npm i -g kodelyth-ecc` and also includes a Super Agent orchestrator, Devil Mode red-team crew, and local BM25 Memory Core.

  13. Hugging Face Blog55

    BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model

    Tether AI Research introduces BotPsy, a 0.8B-parameter model built on Qwen3.5-0.8B for function calling and agentic workflows, suitable for on-device deployment. It roughly doubles its base model's tool-use scores (BFCL v4 23.4 to 44.0, ACEBench 30.1 to 58.7, τ-bench 23.2 to 51.5) and outperforms every model up to 1.2B parameters tested on all six agentic benchmarks, while also beating Qwen3.5-2B-Think on five of the six. It will be released with open weights under Apache 2.0 in bf16, Q8 and Q4 as safetensors and GGUF files, and is intended for low- to medium-difficulty tasks, not high-stakes use.

  14. OpenRouter Announcements67

    MCP vs CLI vs Skills: What Each Costs in Context

    The article measures input-token costs for giving an agent GitHub access via the GitHub MCP server, the gh CLI, or a gh skill across Claude Haiku 5.5, Claude Sonnet 5.5, GPT-6 Luna, and Gemini 3.8 Flash; on Sonnet 5.5 the CLI used 1,421 tokens, the skill 3,315, and the MCP server 59,417 with its 46 default tools. It reports that the GitHub MCP server's 46 default tools add 19,436 tokens to every request on Sonnet 5.5, and that a single tool result (GitHub's release object) cost about 20,400 tokens. It also describes the beta Tool Search server tool, which cut the up-front cost of 46 tools to under 600 tokens and halved whole-task cost on Sonnet 5.5 while raising it on Haiku 5.5.

    Why it matters: It offers concrete, model-specific token and cost measurements for choosing between MCP, CLI, and skills, plus practical mitigations like scoping tools and trimming results.

  15. AWS Machine Learning Blog40

    Build a daily dependency watcher with LangGraph and Amazon Bedrock AgentCore web search

    The Web Search API in Amazon Bedrock AgentCore is now available, returning current web results with title, URL, publication date and query-relevant extract, signed with existing AWS credentials and served from an Amazon-operated index. The post walks through building a LangGraph dependency watch that researches npm, PyPI and container base images in parallel, keeping the date window, domain blocklist and search budget in code and checking each finding against its cited sources. In the test run, three branches made 12 searches and finished in 36 seconds versus 99 seconds sequentially, and the watch can be hosted on AgentCore runtime or offered through AgentCore Gateway.