How to connect Meshy to OpenClaw (paste one key, 27 tools)

The usual route to Meshy access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Meshy setup: install one ClawHub skill, connect Meshy in the browser, and OpenClaw can call real Meshy actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.

Copy this prompt into OpenClaw, or open the Meshy skill on ClawHub.

Prompt for OpenClaw

Before installing anything, inspect the ClawHub skill metadata and setup requirements.
If the skill asks you to install a third-party package or CLI, verify its source, maintainer, and package contents before running the install command.
Install the skill "Meshy" (hith3sh/meshy-workspace) from ClawHub only after those checks pass.
Skill page: https://clawhub.ai/hith3sh/meshy-workspace
Keep the work scoped to this skill only.
After install, help me finish setup from verified skill metadata.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Setup

It takes three steps to connect OpenClaw to Meshy.

1
Install the plugin
Paste the setup prompt into OpenClaw, or install from the terminal and ask OpenClaw to pair:
openclaw plugins install clawhub:clawlink-plugin
2
Connect Meshy
Paste your API key in the dashboard.
3
Use it from chat
Ask OpenClaw: "What can you do with Meshy?"

Install by command

The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:

openclaw plugins install clawhub:clawlink-plugin

Then ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say done. Finally, connect Meshy in the ClawLink dashboard — paste your Meshy API key once.

Verify the connection by asking OpenClaw:

Pull the relevant data from Meshy, summarize it in plain English, and point out anything that needs attention.

Using a different agent?

The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:

npx -y @useclawlink/cli login

login opens the same browser approval and stores a credential locally. Once Meshy is connected in the dashboard, that agent calls the same 27 Meshy tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.

Meshy MCP for OpenClaw

Looking for a Meshy MCP server for OpenClaw? ClawLink connects Meshy to OpenClaw and exposes 27 Meshy tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using Hermes instead? The Hermes Meshy integration works the same way.

What the OpenClaw Meshy integration can do

27 Meshy tools are ready for OpenClaw once the account is connected. The 26 below are the ones people reach for most; your agent can call all 27.

26 of 27 Meshy tools for OpenClaw

Tool	What it does
Get credit balance `meshy_get_credit_balance`	Return the connected Meshy account's available credit balance before starting paid generation
Get task `meshy_get_task`	Retrieve current status, errors, and available outputs for one task from a selected Meshy task
List animation library `meshy_list_animation_library`	Search or filter Meshy's unpaginated animation catalog and return action IDs for use when
List tasks `meshy_list_tasks`	Return one page of tasks for one selected Meshy task family, with an opaque cursor for safe
List usage records `meshy_list_usage_records`	Return one page of terminal API-task usage and consumed credits for the connected Meshy team
Create animation task `meshy_create_animation_task`	Start a 3-credit task that applies either a selected library animation or a succeeded Text to
Create auto split task `meshy_create_auto_split_task`	Split a succeeded untextured Meshy 6 or Meshy 7 model into separately printable parts and
Create collapsible fidget task `meshy_create_collapsible_fidget_task`	Start an entitled 6-credit task that generates a collapsible fidget directly from an image and
Create convert task `meshy_create_convert_task`	Start a 1-credit task that converts a model into one or more requested formats; returns the
Create creative lab build `meshy_create_creative_lab_build`	Start a 3D build from a succeeded matching Creative Lab prototype
Create creative lab prototype `meshy_create_creative_lab_prototype`	Start an entitled image-to-prototype task for a fixed Creative Lab product
Create image to 3d task `meshy_create_image_to_3d_task`	Start a 3D generation task from one to four views of one object or a prior task's input images
Create image to image task `meshy_create_image_to_image_task`	Start a credit-consuming task that edits or restyles one to five reference images from a text
Create multi color print task `meshy_create_multi_color_print_task`	Start a 10-credit task that converts a GLB or FBX model from a prior Meshy task or direct URL
Create print analysis task `meshy_create_print_analysis_task`	Start a free task that analyzes a GLB, GLTF, OBJ, FBX, or STL model from a prior Meshy task or
Create print repair task `meshy_create_print_repair_task`	Start a 10-credit task that repairs a GLB, GLTF, OBJ, FBX, or STL model from a prior Meshy task
Create remesh task `meshy_create_remesh_task`	Start a 5-credit task that remeshes a model to the requested topology and polygon count
Create resize task `meshy_create_resize_task`	Start a 1-credit task that scales a model by height, longest side, or automatic sizing and
Create retexture task `meshy_create_retexture_task`	Start a credit-consuming task that applies one text, image, or multiview style source to an
Create rigging task `meshy_create_rigging_task`	Start a 5-credit task that rigs a GLB character with a biped or quadruped skeleton and return
Create text to 3d task `meshy_create_text_to_3d_task`	Start a new Text to 3D preview or fused geometry-and-texture task and return its task ID
Create text to image task `meshy_create_text_to_image_task`	Start a credit-consuming 2D image generation task from a text prompt
Create text to motion task `meshy_create_text_to_motion_task`	Start an entitled motion-generation task from a text prompt and return its task ID
Create uv unwrap task `meshy_create_uv_unwrap_task`	Start a 5-credit task that generates UV coordinates for a GLB model and return the task ID
Refine text to 3d task `meshy_refine_text_to_3d_task`	Apply texture to a succeeded Text to 3D preview and return the new refine task ID
Cancel creative lab task `meshy_cancel_creative_lab_task`	Cancel a Creative Lab task only while it is PENDING or IN_PROGRESS

Try it: find the Meshy tool you need

Browse the 26 Meshy tools

Click any tool to see exactly what OpenClaw can do and copy a ready-to-use prompt.

Example prompts

Pull the relevant data from Meshy, summarize it in plain English, and point out anything that needs attention.

List the relevant items in Meshy, group them by priority, and recommend what OpenClaw should do next.

ClawLink vs. building it yourself

The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Meshy working from chat.

	Manual	ClawLink
Credential handling	Collect, validate, store, and rotate the Meshy API key yourself, then make sure every tool call uses the right account.	Users complete the hosted ClawLink setup once and the connected Meshy account becomes available to the agent without you building credential management.
Ongoing maintenance	You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Meshy.	ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure.
Agent usability	You still need to expose the right Meshy actions to the runtime in a format your agent can reliably use.	27 tools for Meshy are already exposed through ClawLink, so the agent can read and act from chat immediately.

ClawLink vs. Composio

Composio also exposes Meshy to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Meshy in the browser, and the 27 tools above work from chat. There is no SDK and no config file, and the Meshy key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full Composio alternatives comparison.

Troubleshooting

OpenClaw installed the Meshy skill but can't call the tools

The ClawHub skill teaches OpenClaw about Meshy, but the calls run through the ClawLink plugin and your connected account. Make sure Meshy is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

Connection succeeds but no tools appear

Reconnect Meshy from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.

"Tool schema not loaded yet" error when calling Meshy tools

Meshy tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Meshy call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.

Meshy returns 403 or "permission denied" on one action while others work

Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.

API key setup works but results look incomplete

Double-check that the API key for Meshy has the right scopes or account access. A valid key can still be too limited for some reads or writes.

FAQ

Is there a OpenClaw Meshy integration?

Yes. ClawLink is the fastest way to connect OpenClaw to Meshy: link your Meshy account once in the browser and OpenClaw can call the Meshy API through 27 ready-made tools — no custom code or token handling.

How do I add Meshy to OpenClaw with ClawLink?

Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Meshy skill from ClawHub, then you click Connect in the dashboard to authorize Meshy. OpenClaw calls the tools from the next message — no config files, and the Meshy key you paste is stored server-side instead of in your environment.

How long does it take to connect Meshy to OpenClaw?

About two minutes. Sign in, click Connect next to Meshy in the dashboard, authenticate, and OpenClaw can use it from the next chat message.

Why use ClawLink instead of wiring Meshy up myself?

OpenClaw installed the Meshy skill but can't call the tools

How to connect Meshy to OpenClaw

Setup

Install the plugin

Connect Meshy

Use it from chat