myworklayer.com valid
Worklayer
Worklayer lets AI agents use your apps by writing code scripts. This consumes fewer tokens and results in faster outputs.
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.myworklayer.com/llms.txt
- llms-full.txt
- https://www.myworklayer.com/llms-full.txt
- Sections
- 4
- Links
- 14
- Size
- 2988 bytes
- Registered
- 2026-03-25
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-24T17:27:09.410Z
- Last checked
- 2026-10-24T17:27:10.823Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T17:27:09.414Z. Cached copy · Source on myworklayer.com
# Worklayer
> Worklayer lets AI agents use your apps by writing code scripts. This consumes fewer tokens and results in faster outputs.
Worklayer is for users and teams who want AI agents such as Claude Code, Claude Desktop, Codex, and Cursor to use connected apps through a single remote MCP server. Worklayer lets agents write and execute code across app tools in a secure sandbox, so the agent can batch work, transform data, and return compact answers.
MCP server URL: https://mcp.myworklayer.com
## When to use Worklayer
- Use Worklayer when an agent needs to work across multiple connected apps.
- Use Worklayer when a workflow benefits from code execution, batching, filtering, joins, retries, or data transformation.
- Use Worklayer when you want the agent to avoid loading every raw tool response into its context window.
- Do not assume fully autonomous authentication. If Worklayer or a connected app asks for account authorization, ask the user to complete the browser-based auth flow.
## Start here
- [Full agent brief](https://www.myworklayer.com/llms-full.txt): Complete product context, install steps, benefits, apps, and auth handoff guidance.
- [Agent usage guide](https://www.myworklayer.com/agents.md): Instructions for agents installing and using Worklayer.
- [Pricing summary](https://www.myworklayer.com/pricing.md): Machine-readable pricing status and link to the pricing page.
- [Homepage](https://www.myworklayer.com/): Human-facing landing page.
- [App library](https://www.myworklayer.com/app-library): Supported apps and connector context.
- [Use cases](https://www.myworklayer.com/use-cases): Example workflows by department.
- [Security](https://www.myworklayer.com/security): Security posture and sandbox positioning.
## Install guides
- [Claude Code](#claude-code): `claude mcp add --transport http worklayer https://mcp.myworklayer.com -s user`
- [Codex](#codex): `codex mcp add worklayer --url https://mcp.myworklayer.com`
- Terminal-based agents: Claude Code, Codex, and OpenCode can add Worklayer through CLI commands when they have shell access.
- Local IDE and desktop clients: Cursor, VS Code, Zed, Hermes Agent, and custom MCP clients can add Worklayer by editing MCP client settings.
- Cloud-hosted agents and product UI setup: Claude Desktop / Claude Cowork, Lovable, v0, Replit Agent, and Notion Agent usually require the user to add Worklayer through the product UI.
- [Full setup guide](https://www.myworklayer.com/agents.md): Agent capability groups, commands, config snippets, and auth handoff guidance.
## Optional
- [robots.txt](https://www.myworklayer.com/robots.txt): Crawler access and sitemap pointer.
- [sitemap.xml](https://www.myworklayer.com/sitemap.xml): Public URL inventory.
- [MCP server metadata](https://www.myworklayer.com/.well-known/mcp/server.json): Machine-readable remote MCP metadata.
- [Agent card](https://www.myworklayer.com/.well-known/agent-card.json): Product identity and agent integration summary.
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
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| lobehub.com | LobeHub | documentation AI agents and MCP AI and machine learning | — | 63 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=myworklayer.com · GET /v1/domain/myworklayer.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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