Learning Resources

digitalworkercanvas.com

Provides summaries and content about the Digital Worker Canvas methodology, including blog posts and use cases.

1 endpoint8 known toolsFirst detected July 22, 2026Last detected August 31, 2026

ENDPOINT 1

https://digitalworkercanvas.com/mcp

No auth detected

MCP server metadata

Name: digital-worker-canvas-mcp
Version: 0.2.0

Capabilities

tools.listChanged

Server instructions

Public read-only tools for The Digital Worker Canvas — a method for designing, building, managing and governing AI agents as digital workers. Use `about_methodology` for the canonical method summary, `list_method_topics` / `get_method_topic` for question-led reference answers, `list_blog_posts` / `get_blog_post` for essays, `list_use_cases` / `get_use_case` for product examples mapped across the Canvas, and `list_site_tools` for the interactive tools.

Known tools 8

about_methodology

Return the canonical Digital Worker Canvas methodology: the Five-Candidate Staircase, five worker patterns, nine Canvas decisions, build sequence, Management Loop, and official reference links.

Inferred read-only

list_method_topics

List the canonical question-led Digital Worker Canvas Method pages covering digital workers, AI agents, automation, design, testing, management, measurement, human oversight, guardrails and autonomy.

Inferred read-only

get_method_topic

Return the canonical Digital Worker Canvas answer, framework, rule, example and related questions for one Method topic by slug.

Inferred read-only

list_blog_posts

Return the list of published blog posts from The Digital Worker Canvas (title, slug, excerpt, category, tags, published_at).

Inferred read-only

get_blog_post

Return the full published blog post (title, content HTML, excerpt, tags, author, published_at) for the given slug.

Potential side effects

list_use_cases

Return the catalogue of real AI products mapped across all nine cells of the Digital Worker Canvas (product, slug, tag, verdict, url).

Inferred read-only

get_use_case

Return the full 9-cell Digital Worker Canvas breakdown for a single use case by slug (persona, signal, input, process, output, consumer, knowledge, oversight, risk).

Inferred read-only

list_site_tools

Return the interactive tools published on The Digital Worker Canvas site (Opportunity Map, Digital Worker Canvas).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.digital-worker-canvas-mcp]
url = "https://digitalworkercanvas.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "digital-worker-canvas-mcp": {
      "type": "http",
      "url": "https://digitalworkercanvas.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: digital-worker-canvas-mcp
Remote MCP URL: https://digitalworkercanvas.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "digital-worker-canvas-mcp": {
      "url": "https://digitalworkercanvas.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "digital-worker-canvas-mcp": {
      "type": "http",
      "url": "https://digitalworkercanvas.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "digital-worker-canvas-mcp",
  "transport": "streamable-http",
  "url": "https://digitalworkercanvas.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for digitalworkercanvas.com was fetched 2026-09-16T10:46:02.433Z.

Trust status New

This domain appears to have previously been parked, so its current status is new or unverified.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.