
Pinterest Ads MCP Server
- 4 repo stars
- Updated July 27, 2026
- cesteral/mcp-open-advertising
Pinterest Ads MCP Server is a MCP server that manages Pinterest advertising with CRUD, async reports, targeting, and audience estimates.
About
Pinterest Ads MCP Server connects Pinterest’s advertising APIs to Model Context Protocol clients so developers can manage visual discovery campaigns from an AI agent. It suits founders in ecommerce, content, or lifestyle SaaS who rely on Pinterest for top-of-funnel traffic and want to adjust targeting, budgets, and creative sets without constant dashboard context switching. Capabilities include standard CRUD operations, asynchronous reporting for metrics-heavy pulls, targeting helpers, and audience size estimates to sanity-check reach before launching. Deploy locally through npm stdio or host the remote URL pattern documented in server.json. You need Pinterest Ads API access and comfort with intermediate API-backed tooling; it does not replace Pinterest’s policy review or creative strategy skills.
- Pinterest Ads CRUD for campaigns and related entities via MCP
- Async reports for pin and campaign performance
- Targeting configuration tools exposed to the agent
- Audience estimate calls before spend commitments
- stdio @cesteral/pinterest-mcp v1.1.0 and optional deployed streamable-http endpoint
Pinterest Ads MCP Server by the numbers
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| repo stars | ★ 4 |
|---|---|
| Package | @cesteral/pinterest-mcp |
| Transport | STDIO, HTTP |
| Auth | None |
| Last updated | July 27, 2026 |
| Repository | cesteral/mcp-open-advertising ↗ |
What it does
Run Pinterest Ads campaigns, targeting, and audience estimates through your agent when promoting visual products or content.
Who is it for?
Visual-first brands and shop owners running Pinterest Ads who want programmatic campaign control via MCP.
Skip if: Products with no Pinterest ad account or teams that only need organic pin scheduling without paid tools.
What you get
You can iterate Pinterest ad structure and pull report jobs from the same agent thread that handles your product work.
- Updated Pinterest ad campaigns and targeting settings
- Audience estimate outputs for planning reach
- Async report data for optimization decisions
By the numbers
- Server version 1.1.0
- npm identifier @cesteral/pinterest-mcp
- Remote path /pinterest-mcp/mcp on configurable host
README.md
Cesteral MCP Servers
Self-hostable MCP connectors for major advertising platforms.
Use this repo when you want transparent platform integrations, local experimentation, and infrastructure you control. Use Cesteral Intelligence when your team needs approvals before spend commits, credential brokering, auditability, and cross-platform execution from one governed environment.
Try Meta Ads MCP locally (~10 min) | Compare OSS vs Cesteral Intelligence | Book a workflow demo
Two Ways to Use This
This repo is an open connector layer, not the full product.
- Self-host a connector for transparency and direct control of your credentials, infrastructure, and platform access.
- Use Cesteral Intelligence when the workflow needs governed writes, team approvals, credential brokering, auditability, and cross-platform coordination — see when you need it below.
Flagship Connectors
Google Ads MCP
Campaign writes, GAQL reporting, bid adjustments, previews, and validation via Google Ads REST API v23.
Package docs | Use with Cesteral Intelligence
Meta Ads MCP
Campaign writes, insights, targeting discovery, delivery estimates, previews, and bulk operations via Meta Marketing API v25.0.
Package docs | Use with Cesteral Intelligence
DV360 MCP
Campaign writes, targeting, custom bidding, previews, uploads, and schema-driven validation via DV360 API v4.
Package docs | Use with Cesteral Intelligence
When You Need Cesteral Intelligence
The OSS connectors give you per-server tool execution + audit logs. Cesteral Intelligence layers governance and orchestration on top:
- Credential brokering -- keep platform secrets out of local operator workflows
- Approval workflows -- require human review before destructive or high-spend changes
- Aggregated audit -- unified, cross-server activity feed with provenance, tied to operator identity
- Cross-platform orchestration -- coordinate governed execution across multiple connectors
- Team operations -- shared workflows, tenant isolation, and operator visibility
Compare OSS connectors vs Cesteral Intelligence
The Full Fleet
| Server | Platform | Tools | Auth |
|---|---|---|---|
| gads-mcp | Google Ads REST API v23 | 15 | OAuth2 refresh token |
| meta-mcp | Meta Marketing API v25.0 | 27 | Bearer token |
| dv360-mcp | DV360 API v4 | 26 | Google OAuth2 / service account |
| ttd-mcp | The Trade Desk REST + GraphQL API | 43 | User token (TTD-Auth header) |
| linkedin-mcp | LinkedIn Marketing API v2 | 21 | Bearer token |
| tiktok-mcp | TikTok Marketing API v1.3 | 24 | Bearer token + advertiser ID |
| cm360-mcp | CM360 API v5 | 21 | Google OAuth2 |
| sa360-mcp | SA360 Reporting API v0 + DS v2 | 16 | OAuth2 refresh token |
| pinterest-mcp | Pinterest Ads API v5 | 23 | Bearer token |
| snapchat-mcp | Snapchat Ads API v1 | 23 | Bearer token |
| amazon-dsp-mcp | Amazon DSP API | 26 | Bearer token |
| msads-mcp | Microsoft Advertising API v13 | 25 | Access token + developer token |
| dbm-mcp | Bid Manager API v2 | 6 | Google OAuth2 |
Thirteen servers, 290+ tools. Tool counts are the live registered total per
server, including the *_search_tools discovery tool where present.
What Every Server Ships
These connectors have grown past "thin REST wrappers." Beyond raw tool calls,
every server in the fleet exposes the full surface of the modern MCP spec
(protocol revisions 2025-03-26 through 2025-11-25):
- MCP Prompts — on-demand, multi-step workflow guidance (campaign launch, reporting, troubleshooting) so agents don't have to rediscover each platform's sequencing. Present on all 13 servers.
- MCP Resources — structured, addressable context (schemas, field catalogs,
examples, enums) fetched on demand instead of bloating every tool schema.
Present on all 13 servers. DV360 uses these to keep its >1 MB discriminated
unions off the wire (
entity-schema://,entity-fields://,entity-examples://). - Tool discovery — a
<platform>_search_toolstool that lets an agent search the server's own catalog by intent instead of paging the full list. On 11 servers (all except the smallgads-mcpandsa360-mcp/ reporting-onlydbm-mcp). - Server discovery cards — SEP-2127 metadata at
/.well-known/mcp/server-card.json(name, version, transports, auth modes, capabilities) on every server, in every auth mode. - OAuth resource discovery — in
jwtauth mode, the RFC 9728 endpoint at/.well-known/oauth-protected-resource. - Report CSV spill — large report bodies spill to GCS behind a signed URL
so responses stay bounded. On the six reporting-heavy servers:
ttd-mcp,tiktok-mcp,snapchat-mcp,amazon-dsp-mcp,pinterest-mcp,msads-mcp.
| Server | Discovery | Prompts | Resources | CSV spill |
|---|---|---|---|---|
| gads-mcp | ✅ | ✅ | ||
| meta-mcp | ✅ | ✅ | ✅ | |
| dv360-mcp | ✅ | ✅ | ✅ | |
| ttd-mcp | ✅ | ✅ | ✅ | ✅ |
| linkedin-mcp | ✅ | ✅ | ✅ | |
| tiktok-mcp | ✅ | ✅ | ✅ | ✅ |
| cm360-mcp | ✅ | ✅ | ✅ | |
| sa360-mcp | ✅ | ✅ | ||
| pinterest-mcp | ✅ | ✅ | ✅ | ✅ |
| snapchat-mcp | ✅ | ✅ | ✅ | ✅ |
| amazon-dsp-mcp | ✅ | ✅ | ✅ | ✅ |
| msads-mcp | ✅ | ✅ | ✅ | ✅ |
| dbm-mcp | ✅ | ✅ |
Built for Production
Self-hosting an AI agent that touches live ad spend is a trust problem first and a capability problem second. Two things make this fleet shippable to production without hand-rolling guardrails:
- Audit-grade observability. Every tool call is captured as append-only JSONL. Failures additionally capture the full upstream HTTP trail — every request, every retry, every response — with secrets redacted at the source. Query it directly in BigQuery for hosted deployments, or pipe stdout to your existing log stack for self-host. Read the observability guide.
- Destructive-action elicitation gates. 51 destructive tools across the
twelve write-capable servers (
dbm-mcpis reporting-only) prompt the user before deletes, bulk status changes, bid adjustments, budget changes, conversion uploads, and async Workflows batch jobs. Stdio and clients without elicitation support fall back to a documented non-interactive contract. Bulk mutations under 10 items skip the prompt unless they touch a sensitive field (status / budget / bid). - Verifiable release provenance. Governed tools carry a canonical
SHA-256
definitionHash(from@cesteral/contract-hash) emitted into a per-packagecesteral-manifest.json. Tagged releases publish to npm with build provenance, signing the manifest transitively inside the tarball, so a downstream governance system can verify exactly which tool definitions shipped and promote matching tools toattestedtrust.
If your security review needs evidence — the redaction list, the field schema, the upstream capture path, the contract hash — all of it is in this repository.
Quick Start
For a guided walkthrough, see the 10-minute quickstart.
Prerequisites
- Node.js >= 20.0.0
- pnpm >= 10.0.0 --
corepack enablepicks up the pinned version frompackageManager(ornpm install -g pnpm@10) - Docker (for containerization)
- Terraform >= 1.6.0 (for deployment)
1. Clone and install
git clone https://github.com/cesteral/mcp-open-advertising.git
cd mcp-open-advertising
pnpm install
2. Build
pnpm run build
3. Run a server locally
# Start any server using the dev script
./scripts/dev-server.sh gads-mcp # port 3004
./scripts/dev-server.sh meta-mcp # port 3005
./scripts/dev-server.sh dv360-mcp # port 3002
# See each package README for required environment variables
4. Configure your AI agent
{
"mcpServers": {
"cesteral-gads": {
"url": "https://gads.your-domain.com/mcp",
"apiKey": "your-gads-api-key"
},
"cesteral-meta": {
"url": "https://meta.your-domain.com/mcp",
"apiKey": "your-meta-api-key"
}
}
}
Add as many servers as you need. Each runs independently and can be deployed separately.
5. Deploy
cd terraform
terraform init
terraform apply -var-file=dev.tfvars
See the deployment guide for production setup.
Architecture
Cesteral uses a GCP-native architecture with thirteen independently deployable Cloud Run MCP services. Each server exposes the MCP protocol directly via HTTPS on Cloud Run.
Key design decisions:
- Single cloud provider (GCP): Cloud Run, BigQuery, Pub/Sub, Secret Manager -- unified monitoring, ~$150-220/month
- Direct HTTP transport: No edge gateway layer needed
- Independent deployment: Each server can be deployed and scaled separately
- Composable: Use one server or all thirteen -- they work independently or together
AI clients connect directly to one or more MCP servers over HTTPS; there is no shared gateway to provision. Cesteral Intelligence, when used, layers tenancy, credentials, approvals, and governance above the same fleet.
Repository Structure
mcp-open-advertising/
├── packages/
│ ├── gads-mcp/ # Google Ads
│ ├── meta-mcp/ # Meta Ads
│ ├── dv360-mcp/ # DV360
│ ├── ttd-mcp/ # The Trade Desk
│ ├── linkedin-mcp/ # LinkedIn Ads
│ ├── tiktok-mcp/ # TikTok Ads
│ ├── cm360-mcp/ # Campaign Manager 360
│ ├── sa360-mcp/ # Search Ads 360
│ ├── pinterest-mcp/ # Pinterest Ads
│ ├── snapchat-mcp/ # Snapchat Ads
│ ├── amazon-dsp-mcp/ # Amazon DSP
│ ├── msads-mcp/ # Microsoft Ads
│ ├── dbm-mcp/ # Bid Manager (reporting)
│ ├── contract-schema/ # Shared library -- canonical annotation + response schemas
│ ├── contract-hash/ # Shared library -- canonical tool-definition hash
│ └── shared/ # Shared auth, telemetry, utilities
├── terraform/ # Infrastructure as Code
├── scripts/ # Deployment and dev automation
└── docs/ # Documentation and guides
Development
# Install dependencies
pnpm install
# Build all packages
pnpm run build
# Run tests
pnpm run test
# Type checking
pnpm run typecheck
# Lint
pnpm run lint
Testing MCP Tools
# Use MCP Inspector
npx @modelcontextprotocol/inspector packages/gads-mcp
# Or use curl
curl -X POST http://localhost:3004/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "method": "tools/list", "id": 1}'
Technology Stack
- Runtime: TypeScript 5.0+, Node.js 20 LTS, Hono (HTTP + MCP transport)
- Validation: Zod schemas
- Infrastructure: GCP Cloud Run, BigQuery, Pub/Sub, Secret Manager, Terraform
- Build: Turborepo, pnpm workspaces, Docker
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
- Fork the repository
- Create a feature branch:
git checkout -b feature/your-feature - Make changes and write tests
- Run tests:
pnpm run test - Submit a Pull Request
See also: CODE_OF_CONDUCT.md | SECURITY.md | ROADMAP.md
License
Support
- Website: cesteral.com -- managed hosting and commercial features
- Documentation: docs/ for guides and architecture
- GitHub Issues: Report bugs or request features
- Email: support@cesteral.com
Recommended MCP Servers
How it compares
API-facing MCP server for Pinterest Ads, not a Canva or creative design skill.
FAQ
Who is Pinterest Ads MCP Server for?
Developers and marketers using AI agents who operate Pinterest Ads for ecommerce, content, or app promotion.
When should I use Pinterest Ads MCP Server?
Use it during launch distribution when you need agent-driven campaign edits, targeting changes, estimates, or async reports.
How do I add Pinterest Ads MCP Server to my agent?
Add @cesteral/pinterest-mcp via npm for stdio with Pinterest API credentials, or connect to your deployed remote MCP URL with the host variable set.