---
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

### [Extend Cursor with plugins](https://yomu.fyi/post/extend-cursor-with-plugins.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Cursor
- Published: Feb 17, 2026
- Type: Announcement

Cursor now supports plugins, allowing agents to connect to external tools and acquire new knowledge. Plugins bundle MCP servers, skills, subagents, rules, and hooks to add custom functionality. The initial curated set includes Amplitude, AWS, Figma, Linear, Stripe, Cloudflare, Vercel, Databricks, Snowflake, and Hex, covering planning, design, payments, infrastructure, data, and analytics workflows. Users can install prebuilt plugins from the Cursor Marketplace or create and share their own, while plugin primitives let agents discover domain-specific skills, run subagents in parallel, connect through MCP servers, observe behavior with hooks, and follow rules. The announcement also introduces the Cursor Team Kit for internal CI, code review, and testing workflows, and says private team marketplaces with governance and security controls are coming.


### [Anthropic opens Bengaluru office](https://yomu.fyi/post/anthropic-opens-bengaluru-office.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Feb 16, 2026
- Type: Announcement

Anthropic has officially opened a Bengaluru office, marking its second in Asia after Tokyo, and announced partnerships spanning enterprise, education, agriculture, and public services in India. India is Claude.ai's second-largest market, with nearly half of usage involving computer and mathematical tasks; Anthropic says its run-rate revenue there has doubled since its October 2025 expansion. The company is improving support for Indic languages through training data in ten languages and is working with Karya and the Collective Intelligence Project on evaluations for locally relevant tasks in agriculture and law. Other initiatives include Claude-powered education pilots, public-sector projects such as an Adalat AI WhatsApp helpline, and adoption of the open-source Model Context Protocol, while the office will hire local talent and provide applied AI expertise to customers.


### [Building AI-Powered Observability with Heroku Managed Inference and Agents](https://yomu.fyi/post/building-ai-powered-observability-with-heroku-managed-inference-and-ag.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Karunasri (Karuna) Garigipati
- Published: Feb 13, 2026
- Type: Tutorial

Production incident debugging often requires switching among an IDE, Splunk, Sentry, and PagerDuty while translating natural-language questions into platform-specific queries. The described system connects AI coding assistants to observability platforms through the Model Context Protocol (MCP), exposing typed tools for Splunk searches, Honeycomb queries, and Sentry event lookups. Heroku Managed Inference and Agents provides an MCP gateway for SSE transport, allowing servers to run as STDIO processes and be deployed with a Heroku app, an inference add-on, credentials, and an inference token configured in tools such as Cursor or Claude. The post reports ranked production error results, processing more than 175,000 events in minutes for a suspicious-account review, and using natural-language questions to reduce syntax barriers and keep telemetry in the IDE.


### [NVIDIA commits 3x more code across 30,000 developers with Cursor](https://yomu.fyi/post/nvidia-commits-3x-more-code-across-30-000-developers-with-cursor.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Cursor
- Published: Feb 6, 2026
- Type: Explainer

NVIDIA has deployed Cursor across its software development lifecycle, with more than 30,000 developers using it daily and committing over three times as much code as before. NVIDIA’s long-lived, interdependent codebases and varied technology stacks made it difficult to understand downstream effects and keep pace with rapid change. Cursor maps and semantically reasons over large codebases, retrieving relevant context, while custom rules and MCP servers extend it from code generation into reviews, testing, debugging, issue-driven fixes, CI troubleshooting, and git-flow automation. The company also uses it to help new hires learn unfamiliar systems and experienced engineers work across programming languages and stack areas. NVIDIA reports that bug rates have remained flat despite higher coding velocity, while code-style consistency has improved.


### [Introducing xaa.dev: A Playground for Cross App Access](https://yomu.fyi/post/introducing-xaa-dev-a-playground-for-cross-app-access.md)
- Company: [Okta](https://yomu.fyi/company/okta.md)
- Author: Sohail Pathan
- Published: Jan 20, 2026
- Type: Announcement

xaa.dev is a free, beta playground for exploring Cross App Access (XAA) end to end without local setup, infrastructure provisioning, or signup. It addresses the difficulty of testing XAA, which otherwise requires configuring an Identity Provider, resource authorization server, resource API, and requesting application before a token exchange can be observed. The site pre-configures these roles and guides users through authentication, token exchange, access token request, and resource access while exposing requests, responses, and cryptographic claims. Developers can also connect their own apps, including MCP clients, and test both OIDC and SAML identity assertions; it is currently in beta and requires no account.


### [Okta Developer Connect Recap](https://yomu.fyi/post/okta-developer-connect-recap.md)
- Company: [Okta](https://yomu.fyi/company/okta.md)
- Author: Akanksha Bhasin
- Published: Jan 19, 2026
- Type: Announcement

Okta Developer Connect Bengaluru was Okta’s first flagship Developer Connect event in India, bringing developers, architects, engineering managers, IAM practitioners, and technology leaders together to discuss identity as systems scale and AI agents work alongside humans. Sessions framed identity as foundational infrastructure spanning users, applications, APIs, services, and AI agents, while connecting core standards and practices to platform use cases including the Okta MCP Server, Cross App Access, Okta Integration Network, Okta Workflows, lifecycle management, and Verifiable Digital Credentials. Interactive discussions, audience Q&A, quizzes, surveys, and a research panel complemented talks and enabled exchanges with Okta engineers, product leaders, and advocates. The Bengaluru event begins an ongoing series intended to support practical identity education and open technical dialogue about enterprise-ready systems, identity standards, and AI-driven access and security assumptions.


### [From deployment slop to production reality: How BriX bridges the gap with enterprise-grade AI infrastructure](https://yomu.fyi/post/from-deployment-slop-to-production-reality-how-brix-bridges-the-gap-wi.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Sneh Agrawal
- Published: Jan 16, 2026
- Type: Problem & solution

BriX addresses “deployment slop,” the gap between quickly built AI prototypes and enterprise production, where inconsistent versions, reliability failures, and security risks can block adoption. The platform centralizes production infrastructure so semi-technical domain experts can configure deployments rather than become DevOps specialists, covering scaling, monitoring, audit trails, access controls, data connections, and consistent behavior. BriX supports switching among models such as Claude, GPT, and Gemini; its Model Context Protocols (MCPs) provide standardized, pre-built connectors to approved enterprise data sources with built-in access controls and query logging. Centralized system prompts and context files enforce shared guardrails, while custom frontends and persistent, shareable reports extend use beyond chat interfaces. The stated result is a platform intended to turn deployment into a configuration task, helping teams move from prototypes to enterprise-grade tools in days rather than months.


### [Dynamic context discovery](https://yomu.fyi/post/dynamic-context-discovery.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Jediah Katz
- Published: Jan 6, 2026
- Type: Explainer

Cursor describes dynamic context discovery, a coding-agent pattern that provides fewer details initially and lets the agent retrieve relevant information instead of injecting everything as static context. The approach uses files as a simple interface: long tool responses, chat history, Agent Skills, MCP tool descriptions, and integrated terminal output are stored or synchronized so the agent can inspect only what it needs with tools such as tail, grep, rg, and jq. For MCP, only tool names are included initially, while descriptions are synced into one folder per server; an A/B test found a 46.9% reduction in agent tokens for runs that called an MCP tool, with high variance based on the number of MCPs. Cursor says the design reduces context bloat, preserves information truncation could lose, supports recovery after summarization, and can expose MCP re-authentication status. The changes are planned to become available to all users in the coming weeks.


### [Hooks for security and platform teams](https://yomu.fyi/post/hooks-for-security-and-platform-teams.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Michael Feldstein, Michael Scherr & Travis McPeak
- Published: Dec 22, 2025
- Type: Announcement

Cursor has announced ecosystem partnerships around hooks, which run before or after defined stages of its agent loop to observe, block, or modify behavior. The integrations target MCP governance, code security, dependency scanning, agent safety, and secrets management, connecting Cursor with security tooling, observability platforms, secrets managers, and compliance systems. MintMCP, Oasis Security, and Runlayer provide MCP inventory, least-privilege enforcement, audit trails, and centralized tool-interaction visibility, while Corridor and Semgrep give coding-time feedback and vulnerability scanning. Endor Labs intercepts package installations to scan for malicious dependencies, Snyk’s Evo Agent Guard reviews agent actions for prompt injection and dangerous tool calls, and 1Password validates that all required environment files from 1Password Environments are properly mounted before shell commands execute, enabling just-in-time secrets access without writing credentials to disk.


### [Make with Notion Showcase Europe 2025: Highlights & Takeaways](https://yomu.fyi/post/make-with-notion-showcase-europe-2025-highlights-takeaways.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Áine Dundas
- Published: Dec 18, 2025
- Type: Announcement

Make with Notion Showcase Europe 2025 brought more than 1,300 attendees across four cities during the second year of the in-person conference series. The event centered on three themes: agentic AI taking action, organized knowledge enabling effective AI, and a community building AI-powered work. Notion presented Notion 3.0, whose Agent can handle multi-step workflows, and previewed Custom Agents that can be shared across teams, scoped to databases or teamspaces, and triggered by schedules or events. With MCP integration, Notion content and connected app context can be accessed from other tools; Custom Agents are in early access and planned for broader availability in early 2026. Research cited losses of up to €16,000 per employee annually in the UK, France, and Germany from searching for scattered information, while customer sessions covered knowledge management, AI workflows, and Notion implementations.


### [SpellVault’s evolution: Beyond LLM apps, towards the agentic future](https://yomu.fyi/post/spellvault-s-evolution-beyond-llm-apps-towards-the-agentic-future.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Felix Haryanto Lie
- Published: Nov 21, 2025
- Type: Explainer

SpellVault began as Grab’s no-code platform for building LLM apps, using Retrieval-Augmented Generation (RAG) and plugins to connect applications with knowledge sources and external systems. Users could ground responses in Wikis, Google Docs, text, and PDFs, invoke custom HTTP endpoints, and access apps through the web, Slack, or APIs. The platform later added citations, Python execution for mathematical problems, scheduled actions, and drag-and-drop Workflows combining LLM calls, code, and Knowledge Vault lookups, while its executor moved toward graphs with nodes, edges, and states. SpellVault now exposes apps and RAG through MCP, allowing external agents and compatible clients to invoke apps and search, retrieve, or add Knowledge Vault information; TinyMCP adds MCP capabilities to FastAPI as a router.


### [Intercom is now a Shopify Plus Technology Partner](https://yomu.fyi/post/intercom-is-now-a-shopify-plus-technology-partner.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Gayathri Padmanabhan
- Published: Nov 19, 2025
- Type: Announcement

Intercom announces that it is now a certified Shopify Plus Partner on the Technology Track. The program recognizes technology providers whose product quality, service, performance, privacy, and support meet advanced requirements for Shopify Plus merchants. Intercom says its integration is vetted and optimized, and describes recent additions including Data Connector templates for Fin, multi-store support, inbox order actions, EU workspace support, and updated data mapping and custom fields. The announcement also lists planned expanded Fin Tasks, Model Context Protocol support, and smarter product search powered by Shopify data, positioning these capabilities as ways to resolve ecommerce support requests faster and personalize conversations at scale as merchants prepare for peak season and rising customer expectations.


### [Introducing the Okta Open Source MCP Server](https://yomu.fyi/post/introducing-the-okta-open-source-mcp-server.md)
- Company: [Okta](https://yomu.fyi/company/okta.md)
- Author: Swetha Selvanayagam
- Published: Sep 22, 2025
- Type: Announcement

The Okta Open Source MCP Server connects large language model agents to Okta’s Admin Management APIs for identity and access management workflows. It translates natural-language requests into structured API calls, supporting user and group management, group membership and application operations, system-log retrieval, and additional application and policy actions. The server uses Okta’s official SDK and supports interactive Device Authorization Grant authentication or browserless Private Key JWT, with scoped API access and credentials supplied through environment variables. The guide explains setup with Python 3.9 or later and uv, Okta application configuration, and VS Code’s MCP client settings, then shows examples including user administration and audit-report generation. Its stated purpose is to automate organization-management tasks while respecting Okta’s security model.


### [Introducing Notion 3.0](https://yomu.fyi/post/introducing-notion-3-0.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Akshay Kothari
- Published: Sep 18, 2025
- Type: Announcement

Notion 3.0 introduces Notion AI Agents that can create documents, build databases, search across tools, and execute multi-step workflows inside a workspace. Agents can perform up to 20 minutes of autonomous work across hundreds of pages, including researching information, synthesising findings, creating structured databases, and notifying users when tasks finish. Users can personalise an Agent through a Notion page containing instructions and context, including task triage, response formatting, and reference information; templates can add specialised skills. The launch also includes database row permissions, new AI connectors, and additional MCP integrations, while Custom Agents are planned to run on schedules or triggers and share workflows with teams.


### [Amazon Nova Models: Now Available on Heroku](https://yomu.fyi/post/amazon-nova-models-now-available-on-heroku.md)
- Company: [Heroku](https://yomu.fyi/company/heroku.md)
- Author: Anush DSouza
- Published: Aug 26, 2025
- Type: Announcement

Amazon Nova’s nova-pro and nova-lite models are now available through Heroku Managed Inference and Agents, giving applications a managed way to use them. The integration initially supports text-to-text workloads, while multimodal support is planned for a future release; both models support tool use and offer 300,000-token context windows. Nova-lite targets speed, low latency, and high-volume real-time applications at $0.06 per 1M input tokens and $0.24 output, whereas nova-pro targets accuracy and deep reasoning at $0.80 input and $3.20 output. Heroku provides an OpenAI-compatible /v1/chat/completions endpoint for chat and generation, plus /v1/agents/heroku for built-in Heroku tools and custom MCP tools, with provisioning available in US and EU regions through the add-on or CLI.


### [Find the intersection of security, AI, IAM, and fun at Oktane](https://yomu.fyi/post/find-the-intersection-of-security-ai-iam-and-fun-at-oktane.md)
- Company: [Okta](https://yomu.fyi/company/okta.md)
- Author: Michael Palermo
- Published: Aug 13, 2025
- Type: Announcement

Oktane 2025 will focus on security, AI, and identity, with programming for protecting software systems that use both human and non-human identities. The event is scheduled for September 24–26, 2025, at Caesars Forum in Las Vegas, and will include the Oktane Developer Lounge, Expo Hall activities, lightning talks, documentation feedback games, and Developer Support consultations. Hands-on labs cover securing enterprise AI with the OAuth Cross App Access (XAA) extension and Model Context Protocol (MCP), automating Okta with Terraform, replacing standing administrative access with time-bound requests through Okta Identity Governance and Workflows, and using OAuth 2.0 Demonstrating Proof of Possession (DPoP) tokens in a single-page application. An Okta Workflows community meetup will add networking, drinks, and appetizers, while the broader event offers learning, expert conversations, and application-focused discussions.


### [How to cut through AI hype and choose solutions with confidence](https://yomu.fyi/post/how-to-cut-through-ai-hype-and-choose-solutions-with-confidence.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Nicole Rashied
- Published: Aug 11, 2025
- Type: Explainer

Teams evaluating AI solutions can waste time, money, and trust when they lack technical fluency, choose unsuitable vendors, underestimate internal requirements, or expect immediate perfection. The post introduces Retrieval-Augmented Generation (RAG), vector search, agentic AI, and MCP as concepts that help teams distinguish static or rules-based tools from systems that retrieve current information, understand intent, take actions, and operate within governed boundaries. It argues that building an AI Agent in-house requires substantial work across embeddings, retrieval, prompt chaining, governance, security, maintenance, and model upgrades. Vendor evaluation should consider ongoing R&D, product roadmaps, adaptability, and maintenance, while implementation depends on structured content, documentation, process visibility, and APIs. Fin is cited as typically resolving over 76% of support questions out of the box, with resolution expected to improve through ongoing optimization and measurement.


### [Notion’s hosted MCP server: an inside look](https://yomu.fyi/post/notion-s-hosted-mcp-server-an-inside-look.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Kenneth Sinder
- Published: Jul 15, 2025
- Type: Explainer

Notion’s hosted Model Context Protocol (MCP) server describes its move from a downloadable MCP server to an all-in-one hosted service that lets AI clients such as Cursor and Claude Desktop interact with workspaces. The initial proof of concept generated MCP tools from Notion’s OpenAPI schema, mapping endpoints one-to-one to API calls, but setup required API keys or Docker and the approach consumed substantial context when handling hierarchical block JSON. The hosted version uses a code-generation pipeline that converts OpenAPI schemas to Zod, combines rewritten AI-oriented tools with wrappers for existing v1 APIs, and exposes them through a central integration. Users connect through one-click OAuth; the server manages sessions and tokens, with streamable HTTP and SSE supported for client compatibility. A design change is Notion-flavoured Markdown, which represents blocks including callouts, columns, pages, and databases more efficiently for agent conversations, while semantic search can span Notion and over ten third-party apps.


### [Integrate Your Enterprise AI Tools with Cross App Access (XAA)](https://yomu.fyi/post/integrate-your-enterprise-ai-tools-with-cross-app-access-xaa.md)
- Company: [Okta](https://yomu.fyi/company/okta.md)
- Author: Semona Igama
- Published: Jun 23, 2025
- Type: Explainer

Enterprise AI tools increasingly use protocols such as Model Context Protocol (MCP) to request data and resources from work applications, creating identity and authorization challenges that ordinary app-to-app consent does not expose to enterprise administrators. Cross App Access (XAA) places the enterprise identity provider between the requesting application and resource application by combining OAuth Token Exchange (RFC 8693), JWT Profile for Authorization Grants (RFC 7523), and the Identity Assertion Authorization Grant profile. In the illustrated flow, a user signs in to Agent0, the IdP issues an ID token, and Agent0 exchanges it for an ID-JAG targeted at Todo0’s authorization server. Todo0 validates that assertion and returns its normal access token, enabling MCP requests without interactive consent while allowing enterprise policy checks. The design leaves access-token format and validation with the resource application, while refresh-token behavior remains to be defined to balance policy enforcement and session continuity.


### [What are MCP Servers?](https://yomu.fyi/post/what-are-mcp-servers.md)
- Company: [Fly.io](https://yomu.fyi/company/fly-io.md)
- Published: Jun 12, 2025
- Type: Explainer

This explainer clarifies what Model Context Protocol (MCP) servers do and where they differ from conventional APIs, serverless functions, and standalone appliances. It frames MCP servers as Alexa Skills that connect capabilities to an LLM, then as JSON-based APIs with multiplexing, server push, and built-in introspection for discovering tools, arguments, and usage descriptions. The post cautions that blindly generating an MCP server from an OpenAPI schema may expose low-level calls rather than agent-oriented workflows, and notes that MCP servers have a long-lived initialization, operation, and shutdown lifecycle rather than a serverless one. It also argues that MCP is not inherently secure or private, recommending remotely hosted servers protected by revocable bearer tokens, and envisions customized MCP-based agents becoming family-like assistants rather than mere appliances.


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