PRICING

Plans to power

your AI transformation

We work with teams of all sizes to scale AI usage

Enterprise

Tailored

Every AI transformation is different

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Connect
  • SaaS catalog integrations

  • Custom server creation

  • Code mode efficiency

  • Serverless hosting

Secure
  • OAuth 2.1 proxy + DCR

  • Automatic provisioning

  • Scoped RBAC controls

  • Full audit trail

Observe
  • Real-time logs

  • Distributed tracing

  • Session tracking

  • User analytics

Support
  • SLA-backed support

  • Dedicated FDE support

  • Concierge onboarding

  • Dedicated support channel

Select a plan:

Tool creation

OpenAPI import
Default toolset creation
Custom toolset creation

Tool curation

Custom tool creation
Response filtering
Multi-tool workflow builder
Custom prompt creation
LLM playground testing

Server authentication

Provided API credentials
Standard OAuth
BYO authorization server
OAuth 2.1 proxy + DCR

Server management

Public / private server control
Custom domain support
Version tracking

Security

SSO
Audit logs

Support

Support channels
Priority Slack + Teams + chat + email
Early feature access
Service SLAs
Support SLAs
Concierge onboarding
Legal + security reviews

Frequently AskedQuestions

What defines a request?
A request is a tool call made by an LLM to your MCP server.
What's a tool?
A tool is a function surfaced in the MCP server for use by the LLM. Think of it as the MCP version of an API operation.
What's a custom tool?
It is possible to have a tool call that orchestrate multiple sub tool calls. This is what we call a custom tool.
How do custom tools impact the number of requests?
It is possible to have a tool call that will orchestrate multiple sub tool calls. Each tool call counts as a request. For example if get_recent_account_activity uses sub tools: get_account and get_activity. That would be counted as 3 tools calls.
Why do I need multiple MCP servers?
You don't necessarily need multiple MCP servers, but it's incredibly useful! LLMs tend to struggle as the number of tools increases. Therefore, you're better off having more servers with fewer tools. Think of it like having different toolboxes for different jobs.
How many tools can an MCP server include?
While there's no hard technical limit, less is more when it comes to MCP servers. LLM performance starts to drop significantly when an MCP server has 30-40 tools. LLMs work best with focused, curated toolsets rather than access to every possible tool.
Do LLM playground requests count toward usage?
Yes they do.

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