[{"data":1,"prerenderedAt":473},["ShallowReactive",2],{"blog-post-announcing:-nanome-claude-code-skill-and-mcp-server-and-what's-next-for-mara":3,"blog-posts-nav":22},{"data":4,"meta":18},[5],{"id":6,"attributes":7},66,{"title":8,"content":9,"createdAt":10,"updatedAt":11,"publishedAt":12,"date":13,"description":14,"keywords":15,"slug":16,"category":17},"Announcing: Nanome Claude Code Skill & MCP Server, and What's Next for MARA","\u003C!-- BLOG BODY HTML v4 — placement per Keita's instructions -->\n\n\u003Cp>Chances are you've already used or heard of Claude Code or Cowork. Maybe you've spun up your own \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw\">OpenClaw\u003C\u002Fa> instance. Maybe you saw \u003Ca href=\"https:\u002F\u002Fwww.nextplatform.com\u002Fai\u002F2026\u002F03\u002F17\u002Fnvidia-says-openclaw-is-to-agentic-ai-what-gpt-was-to-chattybots\u002F5209428\">Jensen Huang call it the next Linux\u003C\u002Fa>. Maybe you watched \u003Ca href=\"https:\u002F\u002Finsilico.com\u002Fnews\u002Fspjz8fzmb1-insilico-medicine-launches-pandaclaw-emp\">Insilico drop PandaClaw\u003C\u002Fa>, or noticed \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFreedomIntelligence\u002FOpenClaw-Medical-Skills\">869 scientific agent skills\u003C\u002Fa> show up on GitHub overnight, or \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fwu-yc\u002FLabClaw\">240 more from Stanford\u002FPrinceton\u003C\u002Fa>.\u003C\u002Fp>\n\n\u003Cp>Drug discovery and scientific research are going agentic. Fast.\u003C\u002Fp>\n\n\u003Cp>At Nanome, we've been building in this space for a while. \u003Ca href=\"https:\u002F\u002Fnanome.ai\u002Fmara\">MARA\u003C\u002Fa> has been running agentic workflows for research teams since 2024: \u003Ca href=\"https:\u002F\u002Fnanome.ai\u002Fblog\u002Fnanome-ai-february-2025-update!\u002F\">plan mode, user approval gates\u003C\u002Fa>, tool orchestration, even an API so scientists could trigger and monitor workflows directly from Slack or Teams. A lot of the patterns that Claude Code and OpenClaw just shipped have been in production in our system for two years.\u003C\u002Fp>\n\n\u003C!-- ===== IMAGES 1 + 5 + 4: Side by side — 2021 browser comparison with year subtitles ===== -->\n\u003Cdiv style=\"display: flex; align-items: center; justify-content: center; gap: 1rem; margin: 2rem 0; flex-wrap: wrap;\">\n  \u003Cdiv style=\"text-align: center; flex: 1; min-width: 200px;\">\n    \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image1_c7fd6d4704.png\" alt=\"Nanome VR browser in 2021\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n    \u003Cp style=\"margin-top: 0.5rem;\">(2021)\u003C\u002Fp>\n  \u003C\u002Fdiv>\n  \u003Cdiv style=\"text-align: center; flex-shrink: 0;\">\n    \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image5_919e3aa336.png\" alt=\"Arrow transition\" style=\"max-width: 100px; border-radius: 8px;\" \u002F>\n  \u003C\u002Fdiv>\n  \u003Cdiv style=\"text-align: center; flex: 1; min-width: 200px;\">\n    \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image4_cb08e845d0.gif\" alt=\"Nanome in 2024\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n    \u003Cp style=\"margin-top: 0.5rem;\">(2024)\u003C\u002Fp>\n  \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\u003Cp>This isn't the first time we had such a clear vision for what the future of science ought to look like. Back in 2021, VR operating systems didn't have web browsers, so we \u003Ca href=\"https:\u002F\u002Fblog.matryx.ai\u002Fnanome-1-22-the-web-browser-update-346b1c231097\">built one inside Nanome\u003C\u002Fa>. Then the platforms matured and we let them handle it. We see the same arc here. We built MARA's orchestration layer because the models weren't ready. Now they are, (frankly, faster than we expected) and we're \u003Cem>glad\u003C\u002Fem>!! Scientists getting better agentic tools faster is a win for science.\u003C\u002Fp>\n\n\u003Cp>So, together with Claude Code, Nanome and MARA are evolving. Ship the integrations. Open the APIs. Let every agentic system in the world pipe into Nanome while we focus on the parts that actually require us.\u003C\u002Fp>\n\n\u003Ch2>Announcing: Nanome Claude Code Skill & MCP Server\u003C\u002Fh2>\n\n\u003Cp>Our team built a Claude Code Skill and MCP (Model Context Protocol) servers that let Claude directly create and manage Nanome workspaces. Load structures, set up scenes, configure representations, propagate content across views. All through Claude, all hitting our workspace API.\u003C\u002Fp>\n\n\u003C!-- ===== IMAGE 3: MCP chat conversation interface ===== -->\n\u003Cdiv style=\"text-align: center; margin: 2rem 0;\">\n  \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image3_dd09719a60.png\" alt=\"Nanome MCP server workspace creation conversation showing scene setup and structure loading\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n\u003C\u002Fdiv>\n\n\u003Cp>What this means practically: you're in Claude Code working on a docking analysis. Instead of switching to Nanome, opening a workspace, manually loading your structures, and setting up your visualization, you just tell Claude to do it. Claude calls the Nanome MCP server, builds the workspace, and it's ready for you in XR or on the web.\u003C\u002Fp>\n\n\u003Cp>The Skill handles workspace creation through Claude Code's local environment. The MCP server goes deeper: full workspace API access, scene editing, content propagation. Together they turn Nanome into a first-class destination for any agentic scientific workflow, regardless of which orchestrator you prefer.\u003C\u002Fp>\n\n\u003C!-- ===== IMAGES 2 + 6: Side by side — terminal + workspace view ===== -->\n\u003Cdiv style=\"display: flex; align-items: flex-start; justify-content: center; gap: 1rem; margin: 2rem 0; flex-wrap: wrap;\">\n  \u003Cdiv style=\"flex: 1; min-width: 280px;\">\n    \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image2_bc43537d55.png\" alt=\"Claude Code Skill terminal showing ABL Kinase workspace plan\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n  \u003C\u002Fdiv>\n  \u003Cdiv style=\"flex: 1; min-width: 280px;\">\n    \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image6_f1e78286af.png\" alt=\"ABL Kinase Imatinib Binding Analysis workspace in Nanome\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n  \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\u003Cp>\u003Cstrong>The MCP server is currently internal-use only.\u003C\u002Fstrong> We'll be rolling it out in the next update, v2.5, coming in April 2026.\u003C\u002Fp>\n\n\u003C!-- ===== IMAGE 7: Agent status dashboard — right below heading ===== -->\n\u003Cdiv style=\"text-align: center; margin: 2rem 0;\">\n  \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image7_ab15f76bec.png\" alt=\"Agent status dashboard showing Docking, Electrostatics, R-Group SAR, MPNN, and Antibody agents\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n\u003C\u002Fdiv>\n\n\u003Cp>\u003Cstrong>12 Full Scientific Agents with Autonomous Tool Use (and Counting)\u003C\u002Fstrong>\u003C\u002Fp>\n\n\u003C!-- ===== IMAGE 8: Docking pipeline — inline\u002Ffloated with subtitle ===== -->\n\u003Cdiv style=\"float: left; margin: 0 1.5rem 1rem 0; max-width: 45%;\">\n  \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image8_05e4473fdc.png\" alt=\"Automated docking pipeline UI showing Boltz2, Smina, molecule and protein folder selection\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n  \u003Cp style=\"text-align: center; font-style: italic; margin-top: 0.5rem; font-size: 0.9em;\">(an image of automating docking between a molecule and a protein folder)\u003C\u002Fp>\n\u003C\u002Fdiv>\n\n\u003Cp>Meanwhile, we've built roughly a dozen specialized agents covering docking, antibodies\u002Fenzyme design, electrostatics, R-group analysis, de novo binders, MD, and more. These agents run over 50 tools independently, chain together, or operate on cron jobs for continuous monitoring. Think: \"dock every new molecule that lands in this folder against these targets, and provide a detailed analysis of the results when complete, automatically.\" Our agents work seamlessly with MARA and Nanome to create workspaces with real world data used to color and highlight atomic data.\u003C\u002Fp>\n\n\u003Cdiv style=\"clear: both;\">\u003C\u002Fdiv>\n\n\u003Cp>This is the same pattern you're seeing from Insilico with \u003Ca href=\"https:\u002F\u002Finsilico.com\u002Fnews\u002Fspjz8fzmb1-insilico-medicine-launches-pandaclaw-emp\">PandaClaw\u003C\u002Fa> and from the \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FFreedomIntelligence\u002FOpenClaw-Medical-Skills\">OpenClaw medical-skills community\u003C\u002Fa>. The difference is that ours pipe directly into Nanome's visualization & collaboration layer. The output isn't a text report in a chatbox. It's a 3D workspace you can walk into in XR or collaborate on from the web.\u003C\u002Fp>\n\n\u003Ch2>The Stack We're Betting On\u003C\u002Fh2>\n\n\u003Cp>Here's our thesis: \u003Cstrong>skills and agents on the outside, spatial computing and enterprise security on the inside.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\u003Cp>Claude Code, OpenClaw, Cowork, whatever your team prefers for general-purpose orchestration, data retrieval, and computational workflows. Those are good and getting better fast.\u003C\u002Fp>\n\n\u003Cp>Nanome handles the parts those systems can't touch: 3D molecular visualization, XR collaboration, the human-science interface where a researcher actually looks at a binding pocket and makes a judgment call. And critically, the enterprise security controls that regulated research environments require before any AI tool touches their data.\u003C\u002Fp>\n\n\u003Cp>MARA sits in the middle. It coexists with all of it. You can use Claude Code to call Nanome's APIs through our Skill and MCP server. You can use OpenClaw's cron jobs to run our agents against the workspace API. You can use Cowork to manage tasks that end up in Nanome workspaces. And you can use MARA directly for the things it was purpose-built for: voice commands in XR, the representation agent that is native to Nanome, and the secure orchestration harness that wraps the whole thing in enterprise-grade controls.\u003C\u002Fp>\n\n\u003Cp>MARA isn't competing with Claude Code. MARA is the layer that makes Claude Code (or OpenClaw, or Cowork, or whatever comes next) actually work for research teams with security requirements.\u003C\u002Fp>\n\n\u003Ch2>A Note on Security\u003C\u002Fh2>\n\n\u003C!-- ===== IMAGE 9: Right under A Note on Security heading ===== -->\n\u003Cdiv style=\"text-align: center; margin: 2rem 0;\">\n  \u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fnanome_claude_code_skill_mcp_server_mara_image9_ab60e4dcaa.png\" alt=\"Enterprise security architecture for MARA\" style=\"max-width: 100%; border-radius: 8px;\" \u002F>\n\u003C\u002Fdiv>\n\n\u003Cp>Some large enterprises are already rolling out Claude Code widely, and that's great. \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fhealthcare-life-sciences\">Anthropic is investing heavily in healthcare and life sciences\u003C\u002Fa>, and the security posture of these tools improves with every release.\u003C\u002Fp>\n\n\u003Cp>But not every organization is there yet. We talk to top pharma IT folks regularly, and plenty of teams are still working through the security calculus. The concerns aren't hypothetical: \u003Ca href=\"https:\u002F\u002Fblogs.cisco.com\u002Fai\u002Fpersonal-ai-agents-like-openclaw-are-a-security-nightmare\">Cisco\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002Fen-us\u002Fsecurity\u002Fblog\u002F2026\u002F02\u002F19\u002Frunning-openclaw-safely-identity-isolation-runtime-risk\u002F\">Microsoft\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.bitsight.com\u002Fblog\u002Fopenclaw-ai-security-risks-exposed-instances\">Gartner\u003C\u002Fa> have all flagged real risks with agentic systems like OpenClaw. \u003Ca href=\"https:\u002F\u002Fthehackernews.com\u002F2026\u002F02\u002Fclaude-code-flaws-allow-remote-code.html\">CVEs have been filed against Claude Code itself\u003C\u002Fa>. \u003Ca href=\"https:\u002F\u002Fwww.bitsight.com\u002Fblog\u002Fopenclaw-ai-security-risks-exposed-instances\">341 malicious skills landed on ClawHub\u003C\u002Fa>. \u003Ca href=\"https:\u002F\u002Fblog.smu.edu\u002Fitconnect\u002F2026\u002F03\u002F04\u002Fopenclaw-security-risks-institutional-position\u002F\">Universities have banned OpenClaw from institutional devices\u003C\u002Fa>. These things are getting better fast, but they're real today.\u003C\u002Fp>\n\n\u003Cp>For those teams not yet ready to widely deploy Claude Code within a biopharma enterprise setting, MARA was built from the ground up with this in mind: on-prem deployment behind your firewall (no data leaves your environment), BYO-LLM (use whatever model your security team approved), SSO authentication, sandboxed tool execution, 170+ vetted tools with no unregulated marketplace, and human-in-the-loop plan mode baked into the architecture since 2024.\u003C\u002Fp>\n\n\u003Cp>If your organization is comfortable with Claude Code or OpenClaw out of the box, awesome. We want you using our Skill and MCP server to pipe those workflows into Nanome. If your organization needs tighter controls, MARA is there. Either way, your scientists can view, design, and collaborate with their team and AI agents with our interface layer, Nanome, and science gets done.\u003C\u002Fp>\n\n\u003Ch2>What's Next\u003C\u002Fh2>\n\n\u003Cp>We'll be releasing the Nanome Claude Code Skill to the public. The MCP server follows on an as-requested basis, then more broadly.\u003C\u002Fp>\n\n\u003Cp>If you're a research team exploring agentic workflows and need enterprise-grade security around them, \u003Ca href=\"https:\u002F\u002Fnanome.ai\u002Fdemo\">reach out\u003C\u002Fa>. We can get you connected to Nanome's workspace API in an afternoon.\u003C\u002Fp>\n\n\u003Cp>If you're a researcher who wants to try the scientific agent workflows, early access is coming in the next few weeks.\u003C\u002Fp>","2026-03-27T17:52:58.357Z","2026-03-27T18:40:43.811Z","2026-03-27T17:52:58.312Z","2026-03-27","Nanome announces a Claude Code Skill & MCP Server for agentic scientific workflows, plus updates to MARA's enterprise-grade AI orchestration for drug discovery.","Nanome, Claude Code, MCP Server, MARA, agentic AI, drug discovery, molecular visualization, XR collaboration, scientific agents, biopharma, OpenClaw, Model Context Protocol","announcing:-nanome-claude-code-skill-and-mcp-server-and-what's-next-for-mara",null,{"pagination":19},{"page":20,"pageSize":21,"pageCount":20,"total":20},1,100,{"data":23,"meta":471},[24,29,35,40,45,50,55,60,65,70,75,81,86,92,97,102,107,112,117,122,127,132,137,142,147,153,158,163,168,173,178,183,188,193,198,203,208,213,218,223,228,233,238,243,248,253,258,263,268,273,278,283,288,293,298,303,305,310,315,320,325,330,335,340,346,351,356,361,366,371,376,381,386,391,396,401,406,411,416,421,426,431,436,441,446,451,456,461,466],{"id":20,"attributes":25},{"slug":26,"title":27,"category":28},"spy-stories-and-rational-drug-design","Spy stories & rational drug design","case-studies",{"id":30,"attributes":31},2,{"slug":32,"title":33,"category":34},"meta-quest-pro-and-a-new-version-of-nanome-(v1.24)","Meta Quest Pro & a new version of Nanome (v1.24)","releases",{"id":36,"attributes":37},3,{"slug":38,"title":39,"category":28},"beating-the-pandemic-in-virtual-reality","Beating the Pandemic in Virtual Reality",{"id":41,"attributes":42},4,{"slug":43,"title":44,"category":28},"a-new-era-in-drug-discovery-the-first-ai-generated-drug-is-going-to-clinical-trial","A new era in drug discovery? The first AI-generated drug is going to clinical trial",{"id":46,"attributes":47},5,{"slug":48,"title":49,"category":28},"antibody-prophylaxis-for-lyme-disease","Antibody Prophylaxis for Lyme Disease",{"id":51,"attributes":52},6,{"slug":53,"title":54,"category":28},"diabetes-treatment-is-about-to-change-forever","Diabetes treatment is about to change forever",{"id":56,"attributes":57},7,{"slug":58,"title":59,"category":34},"april-2023-nanome-plugins-and-home.nanome.ai-updates","April 2023 Nanome Plugins & home.nanome.ai Updates",{"id":61,"attributes":62},8,{"slug":63,"title":64,"category":34},"v1.24.4-patch-release-blog-and-data-table-plugin-update","v1.24.4 Patch Release Blog and Data Table Plugin Update",{"id":66,"attributes":67},9,{"slug":68,"title":69,"category":28},"exploring-gaba-in-vr-common-therapeutics-can-reverse-pathological-sleep-conditions","Exploring GABA in VR - Common therapeutics can reverse pathological sleep conditions",{"id":71,"attributes":72},10,{"slug":73,"title":74,"category":34},"introducing-mara:-a-paradigm-shift-in-ai-assisted-scientific-informatics-workflow-orchestration","Introducing MARA: A Paradigm Shift in AI-assisted Scientific Informatics Workflow Orchestration",{"id":76,"attributes":77},11,{"slug":78,"title":79,"category":80},"reflecting-on-2023-and-looking-forward-to-2024","Reflecting on 2023, and looking forward to 2024","philosophy",{"id":82,"attributes":83},12,{"slug":84,"title":85,"category":80},"our-thoughts-on-the-up-and-coming-apple-vision-pro","Our thoughts on the up & coming Apple Vision Pro ",{"id":87,"attributes":88},13,{"slug":89,"title":90,"category":91},"revolutionize-your-research-with-the-nanome-jupyter-cookbook-plugin","Revolutionize Your Research with the Nanome Jupyter Cookbook Plugin","tutorials",{"id":93,"attributes":94},14,{"slug":95,"title":96,"category":34},"introducing-the-the-nanome-scene-viewer-plugin","Introducing the The Nanome Scene Viewer 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Creation",{"id":159,"attributes":160},27,{"slug":161,"title":162,"category":34},"mara-update:-v0.12.10","MARA Update: v0.12.10",{"id":164,"attributes":165},28,{"slug":166,"title":167,"category":91},"mara-bioinformatics-workflow","MARA Bioinformatics Workflow",{"id":169,"attributes":170},29,{"slug":171,"title":172,"category":91},"mara-cheminformatics-workflow","MARA Cheminformatics Workflow",{"id":174,"attributes":175},32,{"slug":176,"title":177,"category":34},"announcing-the-early-access-program-for-nanome-ai:-the-next-generation-of-molecular-design","Announcing the Early Access Program for Nanome AI: The Next Generation of Molecular Design",{"id":179,"attributes":180},31,{"slug":181,"title":182,"category":91},"mara-and-jupyter-notebook-integration","MARA and Jupyter Notebook Integration",{"id":184,"attributes":185},33,{"slug":186,"title":187,"category":91},"exploring-the-new-scene-menu-in-nanome-2.0:-a-comprehensive-guide","Exploring the New Scene Menu in Nanome 2.0: A Comprehensive 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