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@visibilio/mcp

v0.1.1

Published

MCP server for Visibilio AI content platform (TypeScript)

Downloads

37

Readme

@visibilio/mcp

MCP server for the Visibilio AI content platform. Lets LLM clients (Claude Desktop, Claude in Slack, custom agents) call 43 tools and read 9 resources from your Visibilio workspace through a single API key.

Status: Phase 1 (TypeScript rewrite). Recovered from Python implementation bytecode after source files were lost. See spec/mcp-tools.json for the authoritative tool/resource inventory and plans/mcp-production-readiness.md in the backend repo for full roadmap.

Quick start

npx -y @visibilio/mcp

Set the API key first:

export VISIBILIO_API_KEY=vsk_your_key_here

Generate a key in the Visibilio UI: Settings → API Keys → New Key.

Claude Desktop config

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "visibilio": {
      "command": "npx",
      "args": ["-y", "@visibilio/mcp"],
      "env": {
        "VISIBILIO_API_KEY": "vsk_..."
      }
    }
  }
}

Restart Claude Desktop. The Visibilio tools appear in the tools menu.

What's exposed

  • 43 tools across 11 categories — content writers (LinkedIn, blog, X, Facebook, newsletter, press, email, Instagram, YouTube, TikTok, web, ad), content plans, workflows, knowledge, strategy, audience, intelligence, organization, onboarding, image generation, briefings.
  • 9 resources — current organization + project context, plus 7 knowledge domains (company_profile, market_intelligence, audience_data, content_strategy, historical_outputs, scoring_profile, hub_config).

Full inventory: spec/mcp-tools.json.

Development

npm install
npm run dev                   # stdio transport
npm run dev:http              # HTTP/SSE transport (Phase 6)
npm run build                 # tsup → dist/cli.js + dist/http.js
npm run test                  # vitest
npm run lint                  # eslint + prettier
npm run typecheck             # tsc --noEmit

Architecture

The MCP server is a thin protocol bridge. It does not run LLM inference itself — it translates MCP tools/call requests into HTTP calls against the Visibilio gateway and backend.

LLM client (Claude) ──MCP─→ visibilio-mcp ──HTTP─→ visibilio-api-gateway-v2 ──→ visibilio-ai-backend-v2 (Python)
                                                ↓
                                         Supabase (auth + RLS)

Domain language: see GLOSSARY.md.

License

MIT — see LICENSE.