Synth AI

Agent infrastructure, built for scale

MCPAPINative readiness

About

What is Synth AI

Synth AI runs a multi-tenant agent platform called Horizons that handles tenant-isolated storage, event synchronization, context refresh, sandboxed execution, and orchestration of AI workers. Its Managed Research product lets teams point hosted AI workers at repositories or research goals, track each run, and collect durable outputs — logs, reports, and structured evidence — rather than ephemeral results. GTM Engineers and RevOps teams at mid-market and enterprise companies use it to automate AI software development workflows and orchestrate worker execution across isolated tenant environments. The standout capability is durable evidence collection: every worker run produces traceable artifacts, which matters when you need auditability across complex, multi-step agent workflows. Where it falls short is breadth of named integrations — the platform is infrastructure-first, so teams without engineering resources to wire up connectors will hit friction early.

Workflow

Capabilities

Key features

Workflow automation

wire tools together and run multi-step jobs

AI capabilities

autonomous multi-step actions

Also ships

official SDK

Our verdict

Vanderbuild take

Synth AI sits in a narrow but real category: infrastructure-grade workflow automation for teams that are building agent pipelines, not just using them — and for GTM Engineers and RevOps orgs operating at enterprise scale, that distinction matters. The agentic readiness here is native, not bolted on — the MCP server makes Horizons a legitimate orchestration layer that AI agents can call directly, which puts it ahead of most workflow tools that treat agentic use as an afterthought. Pricing is usage-based GPU billing starting at $1.23/hr, but the overall model is custom and enterprise-priced, so expect procurement involvement and a real conversation before you see a number that fits your stack. The honest limitation is integration surface area: there are no named connectors listed in the docs, which means your team needs engineering bandwidth to build and maintain the glue between Horizons and the rest of your GTM toolchain.

Mateusz Sekta

Founder, vanderbuild

The wedge

Agentic stack profile

MCP server

Yes

Live MCP server — agents can call this tool directly.

Exposes Managed Research capabilities, allowing users to start and steer AI worker runs against repositories from MCP clients like Claude Code, Codex, and Cursor.

Open MCP →

API

SDK only

Programmatic access available.

Access via official SDK only. No raw HTTP endpoint exposed.

API docs →

Agentic readiness

Native

Built 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 role

Orchestrator

Where 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.

Compare

Synth AI alternatives

Tools that solve a similar problem — compared at a glance.

Synth AI(this tool)

Pricing: Custom
Budget: $$$$
Best for: GTM Engineer, RevOps

Readiness: Native
MCP: Yes
API: SDK only

Airtable

Pricing: Freemium
Budget: $
Best for: Founder, GTM Engineer

Readiness: Native
MCP: Yes
API: REST

Make

Pricing: Freemium
Budget: $
Best for: GTM Engineer, Founder

Readiness: Native
MCP: Yes
API: REST

Answers

Frequently asked questions

Does Synth AI have an MCP server?

Yes — Synth AI exposes a Model Context Protocol server. Exposes Managed Research capabilities, allowing users to start and steer AI worker runs against repositories from MCP clients like Claude Code, Codex, and Cursor. See the MCP docs at https://docs.usesynth.ai/managed-research/mcp-quickstart.

Does Synth AI have a public API?

Yes — Synth AI ships a SDK only API. Docs: https://docs.usesynth.ai/sdk/overview.

How much does Synth AI cost?

Synth AI: pricing is custom, expect enterprise tier ($$$$) spend. Full pricing page: https://docs.usesynth.ai/pricing/reinforcement-learning-supervised-fine-tuning.

Who is Synth AI best for?

Synth AI is built for GTM Engineer, RevOps. Fits Enterprise, Mid-market (50-500)-sized teams.

How well does Synth AI 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.

Quick spec

MCP serverYes ↗

APISDK only ↗

ReadinessNative

Stack roleOrchestrator

Pricing

Custom

$$$$

Vendor pricing →

Ideal customer

Growth stage

Enterprise · Scale-up

Company size

Enterprise · Mid-market (50-500)

Best for

GTM Engineer · RevOps