MCP

Register the server.
The agent finds the tools.

Expose your APIs, databases and internal services through the Model Context Protocol. The agent reads the tool list, chooses what it needs, and calls it — no function schemas in your codebase.

14 days free · No credit card · Bring your own model keys

Connecting a server

One registration. Every tool it exposes.

MCP is an open standard for describing tools to a model. Point an agent at a server and the whole catalogue arrives with it, already callable.

REST and gRPC

Wrap an existing HTTP or gRPC API in an MCP server. Nothing about the API itself has to change.

GET/orders/{id}
POST/tickets
PUT/users/{id}

Private services

Internal-only systems stay internal. The agent reaches them through the server, never over the public internet.

Private only
orders.internal
crm.internal

Auto-discovery

Add a tool upstream and it appears on the next request. No schema to update, no release to cut.

Discovered tools
search_ordersNEW
create_ticket
fetch_user
send_email

Several at once

A single agent can hold tools from your CRM, your database and a third-party server side by side.

CRM
DB
Slack
API

What agents do with them

From answering to doing.

With real tools attached, an agent reads live data and changes state — inside the permissions the connected key already grants, and with every call recorded.

Live reads

Order status, account balance, stock on hand. The answer reflects your database, not a training snapshot.

Query result
order_idtotal
#1234$129
#1235$67
#1236$203

Real actions

Raise the ticket, send the email, start the workflow — then report back exactly what it did.

Customer reports a bug

created ticket #4521

Scoped permissions

The agent inherits the key's scopes. Read-only stays read-only, however the question is phrased.

Scopes
orders:readallowed
orders:writeallowed
users:deletedenied

Every call traced

Arguments in, response out, milliseconds spent. A failing integration becomes visible instead of suspected.

Trace
auth
12ms
tool.search_orders
87ms
llm.stream
423ms
response
8ms

What teams say

Every time you want to add AI to your app, you end up writing a ton of code — managing API keys, handling conversation history, engineering prompts, counting tokens. And then six months later a better model comes out and you have to refactor everything. SentientOne just removes all of that.
Daniel Marsh · CTO

Pricing

Plans for every team size.
Fourteen-day trial, cancel anytime.

Starter

$19/month

For developers putting the first AI feature into a product.

Start free trial

1 agent · 10k requests/mo

  • 1 MCP server per agent
  • Knowledge — 100 credits †
  • Embeddable chat widget
  • Analytics · 30 requests/min
  • 14-day logs & chat history
  • Community support
  • Streamable HTTP endpoint
  • AI Workspace (team chat)

Pro

Most popular
$49/month

For teams running AI in production and watching the numbers.

Start free trial

5 agents · 50k requests/mo

  • 2 MCP servers per agent
  • Knowledge — 300 credits †
  • Full tracing, cost & token analytics
  • Streamable HTTP endpoint
  • AI Workspace (team chat)
  • Extra seats at $9/member
  • 90-day logs · 50 requests/min
  • Email support, 48h response

Enterprise

Custom

For organisations with compliance, scale or data-residency rules.

Talk to us

Unlimited agents & requests

  • Unlimited MCP servers & knowledge
  • Self-hosted / single-tenant option
  • Custom rate limits & log retention
  • SSO and organisational support
  • Security review assistance
  • Dedicated SLA & onboarding

Prices in USD. Every plan includes bring-your-own model keys, the agent chat interface, and a 14-day trial. † 1 credit = 1 FAQ · 5 credits = 1 document.

Get started

Connect one server. Watch the tools appear.

Register an MCP server on the free trial and the agent's tool list fills itself in. There is no glue code to write first.

  • Create an agent
  • Register an MCP server
  • Approve the tools
  • Ask it to do something

14 days free · No credit card required