Every object, exposed
Contacts, audiences, messages, orchestrations, supplements, sculpt blocks, reports — the entire Cordial data model is reachable through one consistent API. The same data your marketing team works with, available to your code.
The cross-channel platform powering 2–8× revenue per message for enterprise brands — now fully headless. Build agents, services, and custom experiences on top of the same data model the Cordial app uses.
Same enterprise-grade platform. New surface area — designed for engineers, services, and agents.
Contacts, audiences, messages, orchestrations, supplements, sculpt blocks, reports — the entire Cordial data model is reachable through one consistent API. The same data your marketing team works with, available to your code.
A raw database hands code a pile of rows. Cordial hands it the years of marketing logic on top — cross-channel identity resolution, audience definitions, orchestration triggers, and the send history behind 2–8× revenue per message. Your agents inherit the context, not just the schema.
A first-class MCP server lets Claude, Cursor, and any MCP-compatible assistant reason about your account out of the box — audiences, performance, and orchestration logic, all account-aware. No exports, no glue, no integration project.
Pointing an agent at raw API endpoints isn't enough — it needs the brand, account, and customer context to use them correctly. That's what the MCP server hands over: 56+ tools across 17 domains from one endpoint, so your assistant reasons over the same live account your marketers do — audiences, message performance, orchestration logic, campaign history. Reads today; human-approved writes coming soon.
get_audience_health speak in your brand's concepts, not raw rows. {
"mcpServers": {
"cordial": {
"type": "http",
"url": "https://mcp.cordial.com",
"auth": "oauth"
}
}
}// agent.ts — your assistant calls Cordial tools directly
const audiences = await mcp.call("list_audiences", {
query: "loyalty"
});
const health = await mcp.call("get_audience_health", {
id: audiences.audiences[0].id,
period: 30,
});
// "Loyalty tier 3+ has grown 14.2% over the last 30 days,
// now at 198,455 contacts — see attached trend chart."# Sign in once — OAuth in your browser
cosdk login
# Find the audience you care about
cosdk audiences list --query "high intent"
# Send a campaign QA preview to your inbox
cosdk messages preview msg_2025_blackfriday --open-raw
# Year-over-year report, piped into your tooling
cosdk analytics overview --start 1y --compare --json | jq '.channels'One npm install, sign in once, JSON output by default for piping into jq, scripts, and CI. Every concept in your account — audiences, messages, orchestrations, content — in one composable command.
106 endpoints across 24 resources, all over plain HTTPS with HTTP Basic auth. Build in any language — curl, Go, Python, Ruby, Java — no SDK required.
# Upsert a contact
curl -u "$CORDIAL_API_KEY:" \
https://api.cordial.io/v2/contacts \
-H "Content-Type: application/json" \
-d '{
"channels": { "email": { "address": "jane@brand.com" } },
"attributes": { "loyalty_tier": "gold" }
}'
# Log a custom event — triggers orchestrations, audiences, sends
curl -u "$CORDIAL_API_KEY:" \
https://api.cordial.io/v2/contactactivities \
-H "Content-Type: application/json" \
-d '{ "email": "jane@brand.com", "action": "browse",
"properties": { "product_id": "p_8421" } }'
# Send from an automation template
curl -u "$CORDIAL_API_KEY:" \
https://api.cordial.io/v2/automationtemplates/welcome/send \
-H "Content-Type: application/json" \
-d '{ "to": { "email": "jane@brand.com" } }'MCP for agents, CLI for terminals and scripts, REST API for everything else. Same data model — pick the surface that fits the job.
Three layers of context that turn a generic LLM into something that actually understands marketing. Stack them, or pick the one you need.
The agent sees the pixels, not just the filename. 46 image-aware tools across assets, products, and AI generation.
Inspect SAM →What your program is shipping, where it's weak, and what an A+ grade looks like — 7-category audit for the AI inbox era.
Try it free →Claude Skills and recipes that bundle the expert craft — prompts, references, and tool-use patterns — for one specific marketing job.
Browse the cookbook →Wire your assistant into the same audience and message data your team uses every day.
Render previews across cohorts, diff against past sends, and catch issues before launch.
Build internal tools against the REST API — stable v2 contract, JSON-everywhere, your stack of choice.
Pipe analytics, audience trends, and message reports into Snowflake, BigQuery, or your own warehouse.
Install the CLI in 30 seconds. Connect your AI assistant in a config file. Or talk to our team about an MCP endpoint scoped to your account.