
Fractera
Fractera Deploy is a MCP server that deploys a private AI workspace to your VPS from your agent chat with zero-ops flows.
About
Fractera Deploy MCP lets developers trigger deployment of a private AI workspace onto their own VPS from within an MCP-capable coding agent. The pitch is zero-ops: you describe intent in chat instead of manually stitching SSH, containers, reverse proxies, and secrets. That fits operators who want data residency or cost control on a small server but lack a dedicated DevOps hire. The server is hosted at https://www.fractera.ai/api/mcp as streamable HTTP; you still need a VPS provider, DNS, and whatever API keys Fractera’s flow requires. It is deployment infrastructure, not a substitute for application code review or production monitoring. Beginners can try it if they already have a VPS and comfort with basic server ownership; treat production rollouts with normal backup and update discipline.
- Zero-ops deploy of a private AI workspace to your VPS from the AI chat
- Free and open-source Fractera offering with hosted MCP at fractera.ai/api/mcp
- Streamable HTTP remote—no local MCP binary required to start
- Self-hosted privacy narrative versus purely cloud SaaS agents
- Version 1.0.0 with website at fractera.ai
Fractera by the numbers
- Exposes 8 verified tools (MCP introspection)
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport http deploy https://www.fractera.ai/api/mcpAdd your badge
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| Transport | HTTP |
|---|---|
| Auth | None |
| Tools | 8 |
What it does
Deploy a private AI workspace VPS through chat-driven zero-ops flows without hand-rolling Docker and SSH steps.
Who is it for?
Best when you own a VPS and want a chat-driven, self-hosted AI workspace without hiring DevOps.
Skip if: Skip if you only deploy to managed serverless (Vercel/Fly) with no VPS, or regulated environments needing full IaC review.
What you get
You can stand up or refresh a VPS-hosted private AI workspace through MCP-guided deploy steps instead of manual ops runbooks.
- Deployed or updated private AI workspace on your VPS
- Reduced manual Docker/SSH deploy steps initiated from chat
- Self-hosted agent environment aligned with Fractera’s workspace model
By the numbers
- 1 remote MCP endpoint: https://www.fractera.ai/api/mcp
- Server version 1.0.0
- Positioned as free and open-source zero-ops deploy
Tools 8
Public tool metadata - what this server can do for an agent.
register_and_deploy8 paramsRegister a new Fractera user and start the deployment of their server in one atomic call. Use this AFTER you have collected the user's email (entered twice for typo protection), server IP, and root password. Creates the User row (or reuses an existing one with the same email), creates a free Subscription, creates a ServerToken, wipes any previous installation on the target server, and launches bootstrap. The deploy is IP-first (phase-1): the server comes up on plain HTTP at http://<IP>:3002 in 8-14 minutes; it does NOT get a domain or HTTPS cert here (that is an optional later step inside the workspace). Returns session_id (for a single on-demand check_status read — do not poll) and server_token (so the user can recover via retry_deploy if anything breaks). Call this AT MOST ONCE per conversation.
emailstringrequiredThe email the user typed (and confirmed by re-typing). Welcome / failure emails go here.email_confirmedbooleanrequiredREQUIRED, must be true. Set this ONLY after the user has typed their email a SECOND time (Q2) and the two entries match (case-insensitive, trimmed). Do not set it if you only asked once.ipstringrequiredIPv4 address of the user's VPS, e.g. 185.10.20.30.passwordstringrequiredRoot password for the VPS.loginstringOptional — defaults to "root". Override only if the VPS provider gave a non-root username.componentsarrayOptional — which AI tools to install (lets the user save money on a smaller server). OMIT this to install the full recommended set (5 coding agents + Memory + Brain). Pass a subset of ["claude-code","codex","gemini-cli","qwen-code","kimi-code","memory","brain"] to install only those. Pass an empty array [] for a plain server with NO AI at all (just database + sign-in). The server, database, storage, sign-in and Admin panel are always installed regardless.components_selectedbooleanrequiredREQUIRED, must be true. Set this ONLY after you have actually asked the component question (Q5) — told the user the full set is the default and asked, in three short steps, whether to keep all five coding assistants, Memory, and Brain. Pass it together with `components` (omit `components` or pass the full array = everything, [] = none, a subset = those). Do not set it if you skipped Q5.terms_acceptedbooleanrequiredREQUIRED, must be true. Set this ONLY after the user has explicitly confirmed in the chat that they (1) have read and agree to Fractera's Terms of Service (https://www.fractera.ai/en/terms) and Privacy Policy (https://www.fractera.ai/en/privacy), and (2) understand they MUST change their server root password immediately after installation — Fractera never stores it and has no way to access the server afterwards. If the user has not given this explicit agreement, do NOT call this tool: ask for it first (and offer to explain the documents right in the chat).
check_status1 paramRead the current installation progress ONCE, on demand. Call this only when the user explicitly asks how the deploy is going (e.g. "what is the status", "did it finish") — never on a timer and never in a polling loop. The deploy takes 8-14 minutes and the authoritative status channels are the email pipeline + the dashboard; one read on request is enough. Returns the current step, the list of completed steps (~44 total in a full bootstrap), and whether installation is done or failed.
session_idstringrequiredThe session_id returned by register_and_deploy or retry_deploy.
get_subdomain1 paramReturn the final entry address of the server once installation is complete. In phase-1 (IP-first) this is a plain-HTTP Admin URL of the form http://<IP>:3002 — the server has NO domain and NO HTTPS cert yet (attaching a custom domain with HTTPS is an optional later step the user does inside Admin -> Personal Domain). Call this once after check_status reports status="done".
session_idstringrequiredThe session_id used during installation.
retry_deploy5 paramsRetry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard). Wipes the previous broken install and runs a fresh deploy on the SAME server. Returns a new session_id — poll with check_status. Use this when the user reports a failed deploy or pastes a server_token.
server_tokenstringrequiredThe unique server token the user received in the deploy-failure email, the active deploy UI, or the dashboard. Acts as the authorisation for this retry.ipstringOptional — only pass if the user discovered the original IP was wrong (e.g. typo). Otherwise the stored IP is used.loginstringOptional — Linux user, defaults to root.passwordstringOptional — only pass if the user discovered the original password was wrong. Otherwise the stored password is used.componentsarrayOptional — same meaning as in register_and_deploy. OMIT to reinstall the full recommended toolset. Pass a subset (or [] for none) only if the user wants to change which AI tools are installed on this retry.
get_vps_recommendationReturn a single recommended VPS provider for users who do not yet have a server. Call this ONLY when the user explicitly says they have no server. The user buys the VPS at this provider and comes back with IP + password.
get_project_info2 paramsProject reference / help desk about Fractera. Use this to answer ANY user question about what Fractera is, how it works, its architecture, components, modes, data ownership, pricing, use cases, partner program, etc. — especially while a deploy is running and the user wants to learn more. TOKEN-ECONOMY: call with NO arguments first to get the lightweight list of section ids+titles, then call again with a single `section` id to fetch just that section. NEVER try to fetch everything at once; pull only the section(s) relevant to the user question. Set `lang:"ru"` for Russian-speaking users.
sectionstringA section id from the list returned when called with no section. Omit to get the list (table of contents) first.langstringLanguage of the returned content. Defaults to "en". Use "ru" for Russian-speaking users.
get_ai_workspace_architect_info1 paramArchitecture reference for Fractera AI Workspace: what it is made of and how it works (the admin drives it through Hermes — chat Web UI or Telegram — or directly through the five coding agents; a modal subscription sign-in layer + MCP keep work resilient when a subscription is limited; LightRAG is the central memory that slashes token use; Hermes is a light orchestrator while the coding agents do the heavy lifting; the result ships over HTTPS on a custom domain or plain HTTP on an IP). RETURNS A DIAGRAM IMAGE URL you can show the user when they ask what Fractera is or how it works. Call with NO arguments to get the wide illustration URL + the core "how it works" scenario + the section list; call again with a single `section` id to read one entity in depth.
sectionstringA section id from the list (e.g. "hermes", "lightrag", "coding-agents", "claude-code"). Omit to get the illustration, the overview scenario and the section list.
get_ai_development_loop_info1 paramExplains the Fractera development loop: how one admin request becomes tested, deployed, recorded code with no human writing it — Hermes orchestrates and loads its identity + project context, picks a ready coding agent (Claude Code, Codex, Gemini, Qwen, Kimi), the agent is enriched (SOUL.md / AGENTS.md / GLOSSARY.md / completed steps), generates a task then code, it is built and deployed, and the result branches (error feeds back; success updates the completed steps and the deployments tab) — all grounded by LightRAG memory at every step. RETURNS A DIAGRAM IMAGE URL you can show the user when they ask how Fractera builds software or how its agents work. Call with NO arguments to get the diagram URL + the "how the loop works" overview + the section list; call again with a single `section` id to read one stage in depth.
sectionstringA section id from the list (e.g. "hermes", "lightrag", "test-deploy", "the-record"). Omit to get the diagram, the overview and the section list.
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How it compares
VPS workspace deploy MCP, not industrial machine attestation or blockchain trust tooling.
FAQ
Who is Fractera deploy for?
Developers and small teams who want a private, self-hosted AI workspace on their own VPS and prefer driving deploy from Claude Code or similar agents.
When should I use Fractera deploy?
Use it when you are operating infra and ready to provision or update a private AI workspace on a VPS without manual shell scripting for every change.
How do I add Fractera deploy to my agent?
Register https://www.fractera.ai/api/mcp as a streamable HTTP MCP server in your agent settings, then follow Fractera’s site prompts for VPS connection and deploy authorization.