---
title: "MCP"
description: "167 posts about MCP, summarised, each linking to the original."
---

# MCP
> 167 posts about MCP, summarised, each linking to the original.

## Articles

### [Advancing Claude for Financial Services](https://yomu.fyi/post/advancing-claude-for-financial-services.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 10, 2026
- Type: Announcement

Anthropic is expanding Claude for Financial Services with a beta Excel add-in, real-time data connectors, and six pre-built Agent Skills for finance workflows. Claude for Excel operates in a Microsoft Excel sidebar, where it can read, analyze, modify, debug, and create workbooks while tracking changes, explaining actions, and linking explanations to referenced cells. New connectors provide live or governed access to earnings events, portfolio data, internal data rooms, market data, credit research, and financial news through Aiera, Chronograph, Egnyte, LSEG, Moody’s, and MT Newswires. The six skills cover comparable company analysis, discounted cash flow models with WACC, scenarios, and sensitivity tables, due-diligence data packs, earnings analysis, and initiating coverage reports. Sonnet 4.5 scored 55.3% on Vals AI’s Finance Agent benchmark; these previews are available to Max, Enterprise, and Teams users, while Claude for Excel will gather feedback from 1,000 initial users.


### [Cognizant brings Claude to 350,000 employees](https://yomu.fyi/post/cognizant-brings-claude-to-350-000-employees.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 10, 2026
- Type: Announcement

Cognizant announced plans to deploy Anthropic’s Claude to up to 350,000 employees globally, using it with agentic tooling, engineering platforms, and industry blueprints to move enterprise AI efforts from experimentation to production outcomes. It will make Claude available across corporate functions, engineering, and delivery teams, while Claude Code supports coding, testing, documentation, and DevOps workflows. The rollout also aligns Claude models, Claude Code, the Model Context Protocol (MCP), and the Agent SDK with Cognizant’s platforms for integration with existing data and applications, multi-step work, human oversight, and management of performance, risk, and spend. The stated applications include software productivity through Cognizant Flowsource, legacy modernization, multi-agent systems via Cognizant Neuro and Agent SDK, and regulated industry solutions beginning with financial services. Cognizant also describes responsible AI practices for deployment, monitoring, operations, and governance, and plans client workshops, reference patterns, and platform integrations to identify use cases and move them into production.


### [Donating MCP to the Agentic AI Foundation](https://yomu.fyi/post/donating-mcp-to-the-agentic-ai-foundation.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 10, 2026
- Type: Announcement

Anthropic is donating the Model Context Protocol (MCP) to the Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation co-founded by Anthropic, Block, and OpenAI, with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. Introduced as an open standard for connecting AI applications to external systems, MCP now has more than 10,000 active public servers, adoption across major AI products, enterprise deployment support, and official SDKs with 97M+ monthly downloads across Python and TypeScript. The donation places MCP alongside Block’s goose and OpenAI’s AGENTS.md as AAIF founding projects, while its existing governance model remains unchanged. MCP also has a community-driven Registry, and the November 25th specification release added asynchronous operations, statelessness, server identity, and official extensions.


### [Working with the US Department of Energy](https://yomu.fyi/post/working-with-the-us-department-of-energy.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 10, 2026
- Type: Announcement

Anthropic and the US Department of Energy (DOE) announce a multi-year partnership under the Genesis Mission, targeting American energy dominance, biological and life sciences, and scientific productivity across potentially all 17 national laboratories. Anthropic plans to give DOE researchers access to Claude and engineers who can build purpose-built AI agents, Model Context Protocol servers connecting Claude with scientific instruments and tools, and Claude Skills for specialized workflows. Proposed applications include speeding permitting reviews, supporting nuclear technology research and energy security, developing pandemic and biological-threat early-warning systems, accelerating drug discovery, and using fifty years of DOE research to surface ideas and patterns. The partnership extends prior DOE work, including a nuclear risk classifier co-developed with the National Nuclear Security Administration and Claude’s rollout at Lawrence Livermore National Laboratory. Anthropic says future arrangements could develop a model for collaboration between AI and human researchers.


### [ClickHouse is a launch partner for the Data agent in ChatGPT Work](https://yomu.fyi/post/clickhouse-is-a-launch-partner-for-the-data-agent-in-chatgpt-work.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Sep 10, 2026
- Type: Announcement

ClickHouse is a launch partner for the Data agent in ChatGPT Work, with a plugin that connects ClickHouse Cloud to natural-language questions, reports, and interactive dashboards. The listing combines a fully managed ClickHouse Remote MCP server with open-source ClickHouse Agent Skills, and OAuth scopes access to the organizations and services visible to the connected user without requiring an API key. The MCP server exposes 13 read-only tools for metadata, SELECT queries, and service, backup, ClickPipes, and billing information, while the skills guide SQL and code around schema design, optimization, and ingestion. ChatGPT Work can use query results to build branded dashboards, with fresh answers coming from the ClickHouse Cloud service; availability depends on ChatGPT plan and workspace settings.


### [Analyze MongoDB Atlas Data in OpenAI ChatGPT Work](https://yomu.fyi/post/analyze-mongodb-atlas-data-in-openai-chatgpt-work.md)
- Company: [MongoDB](https://yomu.fyi/company/mongodb.md)
- Published: Sep 10, 2026
- Type: Announcement

MongoDB Atlas is now a connected data source in OpenAI’s Data Plugin, powered by the MongoDB Atlas Managed MCP Server. This integration lets analysts and business teams query real-time operational data in ChatGPT Work without leaving the conversation, such as monitoring conversion changes after a deployment, finding orders stuck in payment pending, comparing sales hours across regions, and reviewing customer activity before support calls. Insights can be turned into live charts and dashboards within the conversation. Access respects existing cluster controls via OAuth sign-in, with organization owners able to enable or restrict AI client access to read-only, and every query runs with the permissions of the connected user. Teams that trust MongoDB Atlas as their fully managed, real-time system of record can now question their data directly without waiting for ETL jobs.


### [Rebuilding AUTOMATIC1111 with Gradio Workflow](https://yomu.fyi/post/rebuilding-automatic1111-with-gradio-workflow.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: yuvraj sharma, Abubakar Abid
- Published: Sep 10, 2026
- Type: Tutorial

Workflow1111 rebuilds most of AUTOMATIC1111’s stable-diffusion-webui feature set as a single Gradio Workflow canvas. It combines eleven media pipelines and 73 nodes for text-to-image, refinement, image-to-image, prompting, interrogation, detection masks, annotators, upscaling, background removal, PNG metadata, and image-to-video. The implementation uses four operator kinds—Python fn functions, model calls through InferenceClient, Space calls, and Hub dataset rows—with parallel branches for independent work; 32 of 36 operator nodes are fn nodes, and 22 run in-process without network calls. Models can run through Inference Providers, Spaces, or a local GPU, while output nodes automatically become REST endpoints and MCP tools. The result is a browser-accessible, OAuth-enabled workflow that can also be duplicated, rewired, deployed, and called from code.


### [Apple’s Xcode now supports the Claude Agent SDK](https://yomu.fyi/post/apple-s-xcode-now-supports-the-claude-agent-sdk.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 9, 2026
- Type: Announcement

Xcode 26.3 introduces a native integration with the Claude Agent SDK, bringing the same harness that powers Claude Code into Apple’s IDE for longer-running, autonomous coding work. Claude can receive a goal, inspect a project’s full file structure, determine which files to change, modify them, and iterate, while searching Apple’s documentation when it needs framework or API guidance. It can also capture Xcode Previews to visually verify SwiftUI interfaces, identify problems, and refine its implementation, and it supports subagents, background tasks, and plugins. The integration is additionally exposed through the Model Context Protocol, allowing Claude Code users to connect to Xcode and capture Previews from the CLI. Xcode 26.3 is available as a release candidate to Apple Developer Program members, with an App Store release coming soon.


### [Anthropic acquires Stainless](https://yomu.fyi/post/anthropic-acquires-stainless.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Sep 9, 2026
- Type: Announcement

Anthropic is acquiring Stainless, an SDK and MCP server tooling company founded in 2022, to expand how Claude and other agents connect to data and tools. Stainless has generated every official Anthropic SDK since the API’s early days and is used by hundreds of companies to produce SDKs, CLIs, and MCP servers from API specifications. Its tooling supports TypeScript, Python, Go, Java, and other languages, with libraries designed to feel native while remaining fast and reliable. The companies say combining their teams will advance developer experience and agent connectivity on the Claude Platform, while Stainless’s founder, Alex Rattray, said the team will continue its work within Anthropic.


### [Use a local and open source code assistant](https://yomu.fyi/post/use-a-local-and-open-source-code-assistant.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Seth Kenlon
- Published: Sep 9, 2026
- Type: Tutorial

Closed or cloud-based coding assistants can expose work to external services, so the article presents a local, open-source alternative built around OpenCode. OpenCode is an AI coding agent—not an LLM—that runs as a terminal interface, desktop application, or IDE extension and connects to models through the Model Context Protocol (MCP). The setup installs OpenCode, selects a local model runtime such as Ollama for AMD/NVIDIA GPUs or OpenVINO Model Server with INT4 Qwen3-8B for Intel integrated graphics, then configures opencode.jsonc and an editor plug-in. Examples cover Qwen3:14b with Ollama, Podman-based OpenVINO serving, and NetBeans integration; the resulting assistant can answer queries and edit files after permission is granted, although local inference may be slow and generated advice can be unreliable.


### [Join our live webinars: Migrating from Atlassian to YouTrack](https://yomu.fyi/post/join-our-live-webinars-migrating-from-atlassian-to-youtrack.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Elena Pishkova
- Published: Sep 9, 2026
- Type: Announcement

YouTrack announces live webinars for teams considering migration from Atlassian after Atlassian’s stated discontinuation of Data Center sales and support. The worldwide English-language session is scheduled for September 30, 2026, at 2:00 pm CET on YouTube, alongside a Japanese Zoom session and a Russian-language regional session hosted by Noventiq on October 28. The agenda covers migrating projects, users, and data from Jira, Confluence, and Jira Service Management, with a live demo, customer stories, pricing, licensing, deployment options, user packs, and partner support. It is aimed at administrators, project managers, and team leads, and presents YouTrack as a place to combine project management, documentation, and customer support. The Japan session additionally covers workflow automation and connecting AI agents through MCP, while registration for the Asia and Caucasus session is not yet open.


### [How Metadata and Runtime Telemetry Reveal Which Enterprise System Problems to Fix First](https://yomu.fyi/post/how-metadata-and-runtime-telemetry-reveal-which-enterprise-system-prob.md)
- Company: [Salesforce](https://yomu.fyi/company/salesforce.md)
- Author: Scott Nyberg
- Published: Sep 8, 2026
- Type: Explainer

Salesforce Health Insights addresses enterprise org health monitoring by combining configuration metadata with runtime telemetry to identify and prioritize remediation. The team evolved a static report into an in-app experience with durable finding dispositions, approximately 400+ signals across domains, and standards informed by Well-Architected principles and implementation anti-patterns. A shared harmonization layer reconciles fragmented datasets, connector patterns link runtime activity to metadata components, and the system preserves data origin, freshness, and access requirements while keeping deterministic findings distinct from externally supplied context. Prioritization combines findings with request volume, application and database CPU, call behavior, and peak-business-hour traffic to rank next best actions by criticality and effort. A headless JSON schema supports interfaces including an MCP connection, while the deterministic core is intended to produce dependable recommendations and extend access beyond the primary interface.


### [How MCP Toolbox turns agent text into ClickHouse vectors](https://yomu.fyi/post/how-mcp-toolbox-turns-agent-text-into-clickhouse-vectors.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Sep 7, 2026
- Type: Tutorial

MCP Toolbox for Databases addresses the gap between an AI agent’s text queries and ClickHouse’s SQL and vector interfaces by translating text into embeddings for both ingestion and search. A flat YAML configuration declares a Gemini embedding model, associates parameters with it through embeddedBy, inserts content and vectors, and ranks matches with ClickHouse’s cosineDistance function; the agent receives ranked rows without handling vectors. The post walks through installation, prebuilt ClickHouse tools, custom tools, toolsets, and an end-to-end synthetic-corpus run using Toolbox 1.9.0 and ClickHouse Cloud 26.4.1. At the demonstrated 57-row scale, search uses exact O(n) brute force because the HNSW index adds overhead, while larger datasets can use approximate search. Limitations include Gemini-only embeddings, a hardcoded SEMANTIC\_SIMILARITY task type, opt-in REST endpoints, and restart-required configuration changes.


### [From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform](https://yomu.fyi/post/from-incident-to-remediation-building-an-ai-driven-aiops-workflow-with.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Neha Chugh
- Published: Sep 5, 2026
- Type: Tutorial

This tutorial builds an AIOps workflow for diagnosing and remediating a deliberately induced CPU incident in a product catalog application running on an AWS EC2 instance with RHEL. An Ansible investigation playbook collects CPU utilization, top processes, application status, and HTTP health evidence, which Claude Code analyzes through MCP to identify the Python process as the likely contributor and recommend the approved “AIOps - Remediate High CPU” Job Template. AI does not access the host directly: Ansible Automation Platform retains responsibility for credentials, inventory, execution, and remediation. The remediation changes the application from HTTP 503 and degraded to HTTP 200 and healthy, while a final health check confirms recovery and completes the detect-investigate-analyze-recommend-execute-verify sequence.


### [Kotlin Toolchain 0.12: Multiplatform Library Publishing, Wasm Apps, and More](https://yomu.fyi/post/kotlin-toolchain-0-12-multiplatform-library-publishing-wasm-apps-and-m.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Joffrey Bion
- Published: Sep 3, 2026
- Type: Announcement

Kotlin Toolchain 0.12.0 extends its multiplatform build and publishing capabilities with multiplatform library publication, preview support for Wasm applications, command-line Compose Hot Reload, and broader IDE and terminal improvements. Libraries use the existing publishing configuration and produce a common API, per-platform artifacts, sources, module metadata, plus commonized and platform-specific cinterop bindings; Compose Multiplatform resources are not yet included. wasm-js/app modules can be built into ready-to-use web applications, run with kotlin run, customized through resources, and supplied transitive npm dependencies from Kotlin Multiplatform libraries. The release also reduces default Maven Central files, supports Compose Hot Reload through an MCP server, and recommends project-root-relative // dependencies while retaining the older syntax. It raises minimum compilation requirements to JDK 17 and Kotlin 2.2.20, updates bundled versions including Kotlin 2.4.10 and JDK 25, and recommends IntelliJ IDEA 2026.2.1 or newer for the latest features.


### [Your Agent Speaks MCP. Give It a Computer.](https://yomu.fyi/post/your-agent-speaks-mcp-give-it-a-computer.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Sep 3, 2026
- Type: Announcement

Sprites are presented as disposable cloud computers for running coding agents and as tools agents can create for testing, debugging, benchmarking, and multi-service work. The post describes MCP as the transport and authorization layer, while progressive disclosure comes from plugins and skills that reveal capabilities only when needed; CLI, REST, and machine-readable /.sprite/llm.txt remain available. The hosted MCP server returns file reads as MCP resources and attaches safety annotations, marking read-only and destructive operations and flagging exec and service\_start as crossing the Sprite boundary. Agents connect through sprites.dev/mcp and authenticate to a specific Fly.io organization, with configurable scoping, a default five-Sprite cap, and an mcp- name prefix. The design emphasizes durable filesystems, real networks, and near-zero idle cost instead of stateless sandboxes, while the post argues these properties make disposable computers practical for agent workflows.


### [TeamCity 2026.2: Pipelines General Availability, BYOK for AI Assistant, and More](https://yomu.fyi/post/teamcity-2026-2-pipelines-general-availability-byok-for-ai-assistant-a.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Dmitrii Korovin
- Published: Sep 2, 2026
- Type: Announcement

TeamCity 2026.2 makes pipelines generally available on TeamCity Cloud and On-Premises, moving them beyond the Early Access Program and adding branch-aware editing, failure-tolerant job execution, promotion, job debugging, and VCS-unbound workflows. The release also expands AI capabilities: AI Assistant supports Bring Your Own Key for Anthropic, OpenAI, Google Gemini, other supported models, or a local LLM, while MCP adds pipeline management tools and OAuth/PKCE authorization. Additional changes include configurable retries for failed dependencies, IDEA plugin improvements, GitHub pull-request matching by source branch, and a choice of server- or agent-side Kotlin DSL compilation. The pipeline MCP post and delete tools require manually enabled Brave mode, and DSL compilation on agents is described as less restricting and more secure but subject to trade-offs. Bug-fix updates 2025.11.8 and 2026.1.4 also ship.


### [Stop Guessing at Hard Faults](https://yomu.fyi/post/stop-guessing-at-hard-faults.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Oleg Zinovyev
- Published: Sep 2, 2026
- Type: Announcement

CLion 2026.2.2 adds an AI skill for diagnosing ARM Cortex-M hard faults through dedicated MCP tooling. Embedded debugging typically requires decoding CFSR and HFSR, matching the faulting program counter to disassembly, and reproducing crashes because default handlers often report only that a fault occurred. When triggered by a stopped hard-fault-family handler or relevant fault evidence, the skill provides decoded status registers, the hardware-stacked exception frame, SVD-decoded peripheral registers, disassembly, and nearby memory to an agent. It supports any debugging tool, including Lauterbach TRACE32, Segger J-Link, and ST-LINK, and can produce a bug location and fix, with optional rerunning to verify the program. The skill is enabled by default but requires CLion’s MCP server; it works in AI chat and CLI mode for Claude Code and Codex, while GitHub Copilot supports CLI mode only.


### [4 engineering patterns behind the strongest AI Agents Challenge submissions](https://yomu.fyi/post/4-engineering-patterns-behind-the-strongest-ai-agents-challenge-submis.md)
- Company: [Google](https://yomu.fyi/company/google.md)
- Author: Sergio Villani
- Published: Sep 2, 2026
- Type: Explainer

The strongest submissions in the Google for Startups AI Agents Challenge repeatedly used four engineering patterns rather than merely labeling prompt chains as multi-agent systems. They exposed internally used tools through bidirectional MCP, used typed events and asyncio queues to let independent agents run concurrently, and routed fallback outputs through one shared validation function. They also reduced inference cost with tiered routing: regex or a cheap classifier handled simple intent before requests reached an expensive reasoning model, with one team reporting more than 40 percent handled before a real model call. The post argues these practices improve bounded data access, latency, resilience, and cost without requiring larger teams or newer models, and notes that Agent Development Kit and Agents CLI submissions showed them frequently.


### [Google for Developers Blog - News about Web, Mobile, AI and Cloud](https://yomu.fyi/post/google-for-developers-blog-news-about-web-mobile-ai-and-cloud.md)
- Company: [Google](https://yomu.fyi/company/google.md)
- Published: Sep 2, 2026
- Type: Explainer

The page presents six featured Google developer articles spanning multi-agent systems, content credentials, TPU optimization, agent plugins, Go, and Genkit Go. One article identifies bidirectional MCP, async event buses, unified validation, and tiered routing as recurring patterns in successful AI Agents Challenge submissions. Another introduces Credentio, an open-source C++ library for local-first C2PA validation, while a HeyGen case study reports a 1.86x speedup for Avatar IV on Trillium TPUs using torchax, XLA, FSDP, Ulysses sequence parallelism, and custom kernel/compiler optimizations. The collection also covers Agent Plugins 1.0.0’s plugin.json directory specification and Genkit Go’s progressive-disclosure Agent Skills based on SKILL.md bundles. A final article argues that Go’s compiler, toolchain, readability, and backward compatibility provide guardrails for reviewing and maintaining AI-generated software.


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