Lara Marketing Connector

Lara Marketing Connector

A remote MCP server that provides a complete digital-marketing employee with 45 marketing skills, orchestration logic, persona, and per-client context for any MCP host.

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README


title: Lara Marketing Connector emoji: ๐Ÿš€ colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 pinned: false license: mit

Lara Marketing Connector

A remote MCP server ("connector", AgentFactory style) that carries Lara's full marketing brain โ€” 45 marketing skills + the "which-skill-when" orchestration logic + persona + per-client context โ€” so any MCP host (Claude Code, Codex, OpenCode, OpenClaw, claude.ai) connects to one URL and gets the complete digital-marketing employee.

Built specs-first โ€” see specs/. Status: v0.1 (public/demo).

Live MCP endpoint (when the Space is running): https://rrizwan98-lara-marketing-connector.hf.space/mcp

Layout

lara-connector/
โ”œโ”€โ”€ specs/            # 00-overview โ€ฆ 06-auth  (read these first)
โ”œโ”€โ”€ server.py         # FastMCP gateway + all 13 tools
โ”œโ”€โ”€ auth.py           # verified identity (demo now, OAuth seam for prod)
โ”œโ”€โ”€ session.py        # HMAC session token (seals sub + tier)
โ”œโ”€โ”€ db.py             # SQLite state (users, clients, deliverables, usage)
โ”œโ”€โ”€ config_store.py   # Lara's brain: persona, rules, router map, tiers
โ”œโ”€โ”€ skills_repo.py    # serve skills/<name>/SKILL.md (path-safe)
โ”œโ”€โ”€ skills/           # the 45 marketing skills
โ”œโ”€โ”€ Dockerfile        # Hugging Face Space (Docker SDK), port 7860
โ”œโ”€โ”€ .github/workflows/deploy.yml   # test -> (pass) -> deploy to HF
โ””โ”€โ”€ tests/            # test_smoke.py (in-memory) + test_http.py (live)

CI/CD

Push to main โ†’ GitHub Actions runs tests/test_smoke.py โ†’ only if tests pass, the repo is synced to the Hugging Face Space, which rebuilds the Docker image and serves the connector.

Run locally (demo โ€” no sign-in, all access)

pip install -r requirements.txt
python server.py            # serves http://127.0.0.1:8000/mcp
python tests/test_smoke.py  # 16 checks

Defaults: AUTH_DISABLED=1, GATING_ENABLED=false, PUBLIC_TIER=max, SQLite. Set SESSION_SIGNING_SECRET before any public deployment.

The tools (13)

  • Open: health, begin_session (call first โ€” returns persona, rules, router_map, skills, token)
  • config_*: config_get_persona, config_get_rules
  • domain_*: domain_list_skills, domain_get_skill, domain_route_task
  • user_*: user_get_profile, user_list_clients, user_get_client_context, user_save_client_context, user_get_history, user_log_deliverable

Every tool except health/begin_session needs the session_token from begin_session.

Connect from a host

  • claude.ai: Settings โ†’ Connectors โ†’ Add custom connector โ†’ paste the /mcp URL.
  • Claude Code / Codex: add an MCP server pointing at the /mcp URL.
  • OpenClaw: add it as an MCP server in openclaw.json.

Tiers (free / pro / max)

Built in now, enforced later (see specs/05-tiers.md): wire OAuth (AUTH_DISABLED=0), add billing โ†’ db.set_tier(sub, tier), set GATING_ENABLED=true.

The 4 invariants (the book)

One gateway ยท tools only ยท identity from verified sign-in (never model args) ยท fail closed.

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