MCP server

Agentic Fabrication Network (AFN) Official

ai.agenticfabricationnetwork/ufp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.

Working at last checkVerified publisher: agenticfabricationnetwork.aiAbout 17,993 tokens per request once connected13 tools

https://agenticfabricationnetwork.ai/mcp

At a glance

Type: MCP server
Publisher: agenticfabricationnetwork.ai (verified by the MCP Registry)
Status: Working at last check
Tools: 13
Token cost: About 17,993 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ufp https://agenticfabricationnetwork.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ufp]
url = "https://agenticfabricationnetwork.ai/mcp"

Gemini CLI

{"mcpServers":{"ufp":{"httpUrl":"https://agenticfabricationnetwork.ai/mcp"}}}

Cursor

{"mcpServers":{"ufp":{"url":"https://agenticfabricationnetwork.ai/mcp"}}}

VS Code

{"servers":{"ufp":{"type":"http","url":"https://agenticfabricationnetwork.ai/mcp"}}}

Antigravity

agy mcp add ufp https://agenticfabricationnetwork.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ufp","server_url":"https://agenticfabricationnetwork.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ufp","server_url":"https://agenticfabricationnetwork.ai/mcp"}

Tools

create_checkout Moves money · ~404 tokens
Create the order and get a hosted payment link for a chosen offer. Call this as soon as the user picks an offer + shipping speed. This tool takes NO personal details: never ask for — and never pass — a name, address, email, or phone; the secure payment page collects the shipping address, email, and
finalize_quote ~186 tokens
ONLY for the case where a quote response came back with an EMPTY board and told you to call this: waits for the vendors to answer (up to ~40s) and returns their offers as a full board. Call with just quote_id, immediately, and say nothing substantive before it. NEVER call it on a response that alrea
get_fabrication_quote ~5061 tokens
Get ranked, purchasable offers (price, ETA, preview image) for fabricating a physical item from a design file. process=fdm_print for 3D printing a model (STL/OBJ/PLY/3MF/AMF/STEP/IGES), process=cnc or process=sheetmetal for machined/bent metal parts (STEP, IGES, DXF), process=decal for stickers/deca
get_material_guide ~415 tokens
Honest, cited material intelligence for material-choice / strength / durability / heat / outdoor questions ("my PLA part broke, what's stronger?", "will this survive outdoors?"). Returns caveats-FIRST facts: published specs (tensile, heat-deflection, UV/outdoor, chemical) each tagged vendor-cited vs
get_network_capabilities ~308 tokens
The LIVE catalog of what the fabrication network can do RIGHT NOW — no quote needed. Returns the services ledger (tapping, inserts, welding, bending, finishes… with each shop's own size/material/thickness windows), the network's sheet gauge ladder, the stocked hardware combinations (species x thread
get_order_status ~78 tokens
Check status, ETA and tracking for a UFP order.
get_shop_gauges ~240 tokens
Every sheet thickness (gauge) ONE named shop stocks right now, per material — read live off the shop's declared catalog, no quote needed. Call it when the user asks what thicknesses/gauges a specific maker carries ("what thicknesses does SendCutSend have in mild steel?"). For the whole network's lad
leave_review ~719 tokens
Record the user's verified-purchase review of how a UFP order turned out. YOUR JOB IS TO STRUCTURE THE FEEDBACK: turn what the user actually said into stars (1-5 overall) and facet scores — "the cut was sloppy" -> quality, "parts arrived 2 days late" -> timeliness, "wrong color" -> accuracy. Keep th
list_orders ~121 tokens
List this agent's recent UFP orders (newest first): order id, what was made, vendor, status, total, ETA, created date. Use it to resolve vague references — "my sticker order", "that order from 6 days ago" — to a concrete order_id before calling get_order_status or leave_review.
poll_quote ~150 tokens
INTERNAL — the offer board calls this to refresh itself while vendors finish pricing. Never call this yourself. The board you were given is already final for its turn; do not reach for refine_quote to look at it again either, that paints a duplicate board.
preview_quote ~4892 tokens
INTERNAL client rail — the routing half of refine_quote with NOTHING committed: takes the same arguments as refine_quote and answers how many distinct fabricators (and which process lanes) the network WOULD ask for the refined part, plus the exclusion notes, without creating a child quote, asking an
refine_quote ~5183 tokens
Narrow an existing quote with new constraints (destination ZIP the user just provided, deadline, outdoor/waterproof/heat/food-safety requirements, budget, vendor reliability, verbatim requirements terms, drawing callouts, a process filter — "no, I meant in sheet metal" → processes — a ship-from coun
reply_to_maker Sends messages · ~236 tokens
Send the user's answer to a question the maker (vendor) asked about a UFP order — get_order_status surfaces an open question when one is waiting. Confirm the answer with the user before sending. The network relays it: the maker sees plain text from the network account with the user's contact details

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