About dingdawg-marketing-agent
dingdawg-marketing-agent is a marketing-focused package in the DingDawg governed-agent ecosystem. The supplied README describes shared services for governed execution, compliance classification, regulation lookup, trust scores, and signed audit receipts, but does not detail marketing-specific tools.
Key features
- 01Governed agent execution
- 02Compliance classification
- 03Regulation lookup
- 04Agent trust scores and live stream
- 05Cryptographically signed audit receipts
Use cases
- 01Route agent calls through governance checks
- 02Classify compliance requirements
- 03Look up regulations
- 04Review trust scores and audit records
MCP support
The README does not describe MCP exposure or an MCP-specific interface.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y dingdawg-marketing-agentDINGDAWG_API_KEYSecretAPI key for paid tier access — get free at dingdawg.comLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
5Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| tone | string | No | Desired tone (professional, casual, persuasive, etc.) |
| topic | string | Yes | Topic or subject for the content |
| audience | string | No | Target audience |
| keywords | string | No | Target keywords (comma-separated) |
| content_type | enum | Yes | Type of content to generateblog_post | social_media | email | ad_copy |
Details
From the project READMEDingDawg Agent 1
Governance receipts for AI agents.
Every action a governed agent takes generates a cryptographically-signed receipt: what it decided, why, which model, which version, at what time. Built toward EU AI Act Art. 12, Colorado AI Act (SB 24-205), and NIST AI RMF requirements.
The receipt is what turns a policy document into evidence.
What's live today
| Capability | Endpoint |
|---|---|
| Developer signup — issues a scoped API key | POST /v1/developers/signup |
| Governed execution — routes agent calls through metering + audit | POST /v1/govern/execute |
| Compliance classification | POST /api/v1/compliance/classify |
| Regulation lookup | GET /api/v1/compliance/regulations |
| Agent trust score + live stream | GET /api/v1/agents/{id}/trust, WS .../trust/stream |
| Billing (Stripe) | POST /api/v1/payments/create-checkout-session |
Backed by 10 governed-agent npm packages (compliance, legal, healthcare, finance, devops, marketing, sales, support, code-review, planning).
Quickstart
curl -X POST https://api.dingdawg.com/v1/developers/signup \
-H "Content-Type: application/json" \
-d '{"email":"[email protected]","name":"Your Name","role":"consumer"}'
# -> {"api_key": "dd_...", ...} store it — shown once
export DINGDAWG_API_KEY=dd_your_key
npx dingdawg-compliance quick-check
Architecture
Client (npm package / your agent) --auth: DINGDAWG_API_KEY-->
api.dingdawg.com (FastAPI, Railway)
-> Tier isolation + rate limiting
-> Governance gate (score, log, decide)
-> Audit trail (signed receipt)
-> Stripe metering / billing
-> Response (governed, scored, receipted)
Documentation
- Quickstart Guide
- Architecture Overview
- Security Model
- The 7 Innovations
- Constitution Guide
- Skill Development
- Deployment Guide
- API Reference
Contributing
See CONTRIBUTING.md for contribution guidelines.
Security
See SECURITY.md for our responsible disclosure policy.
License
MIT License. See LICENSE for details.
Innovative Systems Global. The name is not aspirational. It is a statement of fact.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.