Lara Marketing Connector
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Lara Marketing ConnectorStart a marketing session for client Acme Corp"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
title: Lara Marketing Connector emoji: ๐ 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
Related MCP server: Friday MCP Server
Layout
lara-connector/
โโโ specs/ # 00-overview โฆ 06-auth (read these first)
โโโ server.py # FastMCP gateway + all 13 tools
โโโ auth.py # verified identity (demo now, OAuth seam for prod)
โโโ session.py # HMAC session token (seals sub + tier)
โโโ db.py # SQLite state (users, clients, deliverables, usage)
โโโ config_store.py # Lara's brain: persona, rules, router map, tiers
โโโ skills_repo.py # serve skills/<name>/SKILL.md (path-safe)
โโโ skills/ # the 45 marketing skills
โโโ Dockerfile # Hugging Face Space (Docker SDK), port 7860
โโโ .github/workflows/deploy.yml # test -> (pass) -> deploy to HF
โโโ 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 checksDefaults: 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_rulesdomain_*:
domain_list_skills,domain_get_skill,domain_route_taskuser_*:
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
/mcpURL.Claude Code / Codex: add an MCP server pointing at the
/mcpURL.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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