Cargo
GTM infrastructure, built to run itself
What is Cargo
Cargo connects to your CRM, data warehouse, and GTM tools to automate the full revenue workflow — from prospecting and enrichment through lead scoring, routing, and outreach — using a combination of AI agents, plays, and data models. It's built for RevOps practitioners, GTM engineers, and GTM leads at mid-market and enterprise companies who need to orchestrate a complex stack without writing everything from scratch. The standout capability is deal risk and stall signal detection: Cargo actively monitors pipeline health and surfaces accounts that need attention, not just accounts that entered the funnel. The honest limitation is that the platform's depth is also its barrier — teams without a dedicated RevOps or GTM engineering resource will likely underutilize it, and the custom pricing model means budget conversations happen before you see a number.
Key features
wire tools together and run multi-step jobs
first-party connectors, no middleware required
autonomous multi-step actions
official SDK
Vanderbuild take
Cargo is the closest thing we've seen to a purpose-built GTM operating system for RevOps and GTM engineers — it's not a point solution, it's the layer that connects and runs your entire stack. The agentic readiness here is native: Cargo ships an MCP server, meaning it can be called directly by Claude, Cursor, or any agent runtime you're already using, which makes it a serious orchestration backbone rather than just another workflow tool. Budget tier 4 means you're in procurement territory — expect a sales conversation before you see pricing, and plan accordingly. The depth of the platform is real, but so is the ramp: teams without a dedicated GTM engineer or RevOps operator will struggle to extract value from the data modeling and agent-building layers. If you have the technical horsepower, this is one of the few tools that can actually replace a patchwork of five other tools.
Agentic stack profile
MCP serverYesLive MCP server — agents can call this tool directly.
Cargo documents a managed MCP surface that lets you create, list, get, update, and delete MCP servers and connect MCP clients; it exposes Cargo tools as callable functions to external AI assistants and is managed via the Cargo REST API using workspace API tokens (Bearer token).
Open MCP →APIRESTProgrammatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
API docs →Agentic readinessNativeBuilt for agents from the ground up.
MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.
Stack roleOrchestratorWhere this tool slots into an agentic pipeline.
Plays the role of Orchestrator in an agentic pipeline. Use it to tie multiple tools and AI calls together in one workflow.
Cargo alternatives
Tools that solve a similar problem — compared at a glance.
- Pricing
- Custom
- Budget
- $$$$
- Best for
- RevOps, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $
- Best for
- Founder, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $
- Best for
- GTM Engineer, Founder
- Readiness
- Native
- MCP
- Yes
- API
- REST
Frequently asked questions
Does Cargo have an MCP server?
Yes — Cargo exposes a Model Context Protocol server. Cargo documents a managed MCP surface that lets you create, list, get, update, and delete MCP servers and connect MCP clients; it exposes Cargo tools as callable functions to external AI assistants and is managed via the Cargo REST API using workspace API tokens (Bearer token). See the MCP docs at https://docs.getcargo.ai/api-reference/introduction.
Does Cargo have a public API?
Yes — Cargo ships a REST API. Docs: https://docs.getcargo.ai/api-reference/introduction.
How much does Cargo cost?
Cargo: pricing is custom, expect enterprise tier ($$$$) spend. Full pricing page: https://www.getcargo.ai/pricing.
Who is Cargo best for?
Cargo is built for RevOps, GTM Engineer, GTM Lead. Fits Enterprise, Mid-market (50-500)-sized teams.
How well does Cargo fit an agentic sales stack?
Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.