terminal
howtonotcode.com
Model Context Protocol logo

Model Context Protocol

Term

A framework for managing context in machine learning models.

article 6 storys calendar_today First seen: 2026-01-06 update Last seen: 2026-02-24 open_in_new Website menu_book Wikipedia

Stories

Showing 1-6 of 6

Copilot CLI locks down MCP; Skills mature; watch VS Code and licensing gotchas

GitHub Copilot’s latest CLI releases tighten Model Context Protocol access and add workflow polish, while teams see editor and licensing edge cases worth planning for. Copilot CLI v0.0.416 adds enforcement to block third‑party MCP servers when policy disallows them and improves help, streaming counters, terminal status layout, and undo confirmations, while v0.0.415 brought agent model selection, a plan approval menu with curated actions, an env loader, a show_file tool, and quality fixes like UTF‑8 BOM handling and MCP UI polish ([0.0.416](https://github.com/github/copilot-cli/releases/tag/v0.0.416), [0.0.415](https://github.com/github/copilot-cli/releases/tag/v0.0.415), [all releases](https://github.com/github/copilot-cli/releases)). For security‑minded orgs, this pairs with growing scrutiny of what MCP unlocks inside enterprises, from querying internal systems to chaining multi‑step actions—governance and allowlists now matter in practice ([Scalekit’s analysis](https://www.scalekit.com/blog/github-copilot-mcp-enterprise-security-governance)). On the usability front, VS Code Insiders is iterating on a model picker with search, context‑window details, and contextual quick‑pick dialogs, while Copilot in VS Code is adding deeper C++/CMake awareness for richer assistance ([Insiders discussion](https://www.reddit.com/r/GithubCopilot/comments/1rct0g9/new_in_vs_code_insiders_model_picker_and/), [InfoWorld coverage](https://www.infoworld.com/article/4136164/microsoft-brings-c-plus-plus-smarts-to-github-copilot-in-visual-studio-code.html)). Teams should also track known rough edges like Copilot chat sessions not updating without reinstall and license entitlement desync between business and personal seats ([VS Code issue](https://github.com/microsoft/vscode/issues/297226), [GitHub community thread](https://github.com/orgs/community/discussions/187874)). For repeatable DevOps/SRE workflows, “Skills” provide on‑demand, reusable AI runbooks that load progressively and bundle scripts/templates, making it easier to standardize safe automation alongside MCP‑backed tools ([Skills walkthrough](https://dev.to/pwd9000/github-copilot-skills-reusable-ai-workflows-for-devops-and-sres-caf)).

calendar_today 2026-02-24
github-copilot copilot-cli github visual-studio-code microsoft

Stateful MCP patterns for production agents

MCP is moving from flat tool lists to stateful, secure, and data-grounded agent integrations suitable for enterprise use. A deep dive on building stateful MCP servers with Concierge outlines how flat tool catalogs trigger token bloat and nondeterminism, proposing staged workflows, transactions, and server-side state to make agent behavior reliable and cheaper to run ([Building Stateful MCP Servers with Concierge AI](https://atalupadhyay.wordpress.com/2026/02/19/building-stateful-mcp-servers-with-concierge-ai/)). For web interactions, a companion piece argues for deterministic, schema-guaranteed exchanges via declarative or imperative modes instead of brittle browser automation ([Web MCP: Deterministic AI Agents for the Web](https://atalupadhyay.wordpress.com/2026/02/20/web-mcp-deterministic-ai-agents-for-the-web/)). Security guidance reframes agent delivery around evaluation-first practices with IAM/RBAC, auditing, and red-teaming patterns specific to MCP deployments ([Architecting Secure Enterprise AI Agents with MCP](https://atalupadhyay.wordpress.com/2026/02/19/architecting-secure-enterprise-ai-agents-with-mcp/)). Ecosystem integrations are landing: OneUptime ships an MCP server to let agents query incidents, logs, metrics, and traces from your observability stack ([MCP Server - Model Context Protocol for AI Agents](https://oneuptime.com/tool/mcp-server)), Microsoft’s Work IQ MCP brings M365 signals into any agent ([Work IQ MCP](https://medium.com/reading-sh/work-iq-mcp-bring-microsoft-365-context-into-any-ai-agent-a6c6abe8f42c?source=rss-8af100df272------2)), and grounding via protocolized data access helps reduce hallucinated business facts ([How your LLM is silently hallucinating company revenue](https://thenewstack.io/llm-database-context-mcp/)).

calendar_today 2026-02-20
anthropic model-context-protocol-mcp concierge-ai oneuptime microsoft-365

GitHub Copilot adds MCP support for direct tool access

GitHub Copilot now supports the Model Context Protocol (MCP), enabling it to call external tools and data sources directly from within Copilot. GitHub Copilot [adds MCP support](https://app.alphasignal.ai/c?uid=VRJAfkRsPsudnEDm&cid=afc9c7bd89146650&lid=e9cXDUedj3DWdEsr), making it possible to wire Copilot to internal services and data endpoints so suggestions can trigger real actions instead of stopping at code snippets. For backend and data teams, this can connect common operational workflows—like invoking service scripts, querying datasets, or fetching infra state—right from the IDE/chat. Plan a phased rollout: pick low-risk tools first, define clearly scoped actions, and add logging around tool calls to observe latency, timeouts, and error patterns. Expect integration work to map inputs/outputs cleanly and to handle rate limits, retries, and backoff for stability.

calendar_today 2026-02-17
github github-copilot model-context-protocol-mcp model-context-protocol tool-integration

Agentic coding enters IDEs, CI, and docs with MCP and stronger guardrails

Agentic coding is moving into mainstream tooling as Xcode 26.3, GitHub Actions pilots, and new Google offerings converge on guarded, MCP-compatible agents across IDEs, CI, and authoritative docs. Xcode 26.3 expands integrated agentic coding for Claude and Codex, adds Model Context Protocol support, and lets agents verify UI via Previews for iterative fixes and planning.[^1] GitHub Next is piloting Agentic Workflows for Actions with strict defaults, while Google advances an agent‑first stack via Antigravity and a Developer Knowledge API plus MCP server that enables assistants to retrieve official docs at runtime.[^2][^3][^4] [^1]: https://www.infoq.com/news/2026/02/xcode-26-3-agentic-coding/ — Details on Xcode 26.3 agent capabilities, MCP support, and verification via Previews. [^2]: https://www.amplifilabs.com/post/css-scope-hits-baseline-github-agentic-workflows-oss-trust-tools — Newsletter coverage of GitHub Agentic Workflows and safety guardrails. [^3]: https://antigravity.im/ — Independent guide outlining Google Antigravity’s agent‑first IDE and multi‑agent orchestration. [^4]: https://devops.com/google-launches-developer-knowledge-api-to-give-ai-tools-access-to-official-documentation/ — Overview of Google’s Developer Knowledge API and MCP server for authoritative documentation retrieval.

calendar_today 2026-02-09
xcode anthropic claude-agent claude-code openai

CreateOS integrates with Windsurf via MCP for in-IDE AI deployments

NodeOps’ CreateOS now plugs into the Windsurf IDE using the Model Context Protocol, enabling AI-powered deployment workflows directly from your editor—see the official setup guide for steps, prerequisites, and verification checks ([integration guide](https://nodeops.network/createos/docs/Integrations/Integration-Windsurf)).[^1] Configure mcp.json with the CreateOS MCP server and API key, verify it under Cascade → MCP Servers, then deploy from the chat UI using Cascade ([MCP endpoint](https://api-createos.nodeops.network/mcp)).[^2] [^1]: Official setup guide with step-by-step instructions, prerequisites, and verification steps. [^2]: API endpoint used in the MCP configuration, showing the exact connection details.

calendar_today 2026-02-04
windsurf createos nodeops model-context-protocol ide-integration