QueryPie AIP

QueryPie AIP is a browser-based enterprise AI platform for usage-based AI workflows, centralized MCP tool management, and guided implementation support. It is aimed at teams that want to adopt AI without rebuilding their existing infrastructure.

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What QueryPie AIP is

QueryPie AIP is QueryPie’s enterprise AI platform for teams that want to adopt AI through usage-based pricing, centralized tool management, and implementation support. The site presents it as a way to replace scattered AI point solutions with one platform that connects to existing systems and supports both self-service and guided rollout.

The product combines three main pieces: a usage-based enterprise AI layer, an MCP gateway for managing and exposing tools, and Forward Deployed Engineer services for teams that need help finding problems, planning workflows, building agents, and operating them in production. The pricing page also shows plan tiers for Starter, Team, and Enterprise, with features that expand from basic AI workflows to organization-wide controls and security options.

Core capabilities

Usage-based pricing

Pay only for usage rather than per-seat subscriptions, which the site presents as a way to reduce waste for teams with uneven adoption.

LLM provider flexibility

Choose from listed model providers by plan, including Anthropic, OpenAI, and Gemini on supported tiers, with custom model support on Enterprise as an add-on.

MCP gateway and proxy access

Use the MCP hub to connect tools, manage MCP servers centrally, and expose presets through proxy access for external apps such as Cursor IDE, Claude Desktop, and Windsurf.

Security and governance controls

Apply org-level permissions, audit logging, login IP ACL, and DLP controls to manage access and reduce exposure of sensitive information.

Agent and workflow tools

Create or schedule custom AI agents, with plan-based limits and support for RAG knowledge bundles, web search, insight widgets, and code artifacts.

FDE support services

Engage Forward Deployed Engineers for planning, agent building, and deployment support when a team needs hands-on implementation help.

Common ways teams use QueryPie AIP

Manage MCP tools across an organization
Centralize access to internal and external MCP tools so users can work with one managed hub instead of many isolated servers and ad hoc integrations.
Run team AI workflows without per-seat waste
Build usage-based AI workflows with custom agents, RAG knowledge bundles, and supported model providers to fit day-to-day team tasks.
Connect AI tools to internal systems
Use secure edge tunneling and proxy access to reach firewall-protected resources from tools such as Cursor IDE, Claude Desktop, and Windsurf.
Move from AI strategy to production
Bring in FDE support when a team needs help identifying blockers, defining an implementation plan, building agents, or preparing for production operations.
Operate AI with centralized security controls
Apply DLP, SSO, login IP ACL, and audit logging when enterprise teams need tighter control over account access and data exposure.

Pros and Cons

Pros

Combines pricing, tool connectivity, and implementation services in one platform.
Supports usage-based adoption instead of forcing a per-seat model for all users.
Includes centralized MCP management plus proxy access to external tools.
Offers admin and security controls such as SSO, audit logs, IP ACL, and DLP on supported plans.
Provides hands-on FDE support for teams that want help moving from strategy to production.

Cons

The source material is partial, so some product details such as full integration depth and complete deployment options are not documented here.
Advanced security and administrative features are concentrated in higher tiers, especially Enterprise.

FAQ

What is QueryPie AIP?

QueryPie AIP is a browser-based enterprise AI platform that combines usage-based AI access, an MCP gateway for connecting tools, and optional Forward Deployed Engineer support.

Does QueryPie AIP have paid plans?

The pricing page shows Starter, Team, and Enterprise options. Starter begins at $20/month, Team at $500/month, and Enterprise uses custom pricing.

Which models and features does it support?

The pricing page lists support for Anthropic on Starter, Anthropic/OpenAI/Gemini on Team, and any LLM provider on Enterprise. It also lists MCP integrations, web search, insight widgets, code artifacts, and built-in agents.

What security and admin controls are available?

QueryPie AIP includes SSO, central management, login IP ACL, audit logs, and DLP on the Enterprise plan. The MCP gateway also supports org-level access control and audit logging.

Who is it for?

The site positions QueryPie AIP for teams that want to adopt AI without rebuilding their infrastructure, especially when they need centralized tool access, agent workflows, or guided implementation support.

Quick Facts

Category: Enterprise AI platform
Platform: Browser-based
Primary focus: AI workflows, MCP management, and agent building
Pricing model: Starter, Team, and Enterprise plans with usage-based credits or custom pricing
Source domain: querypie.com
Related product area: QueryPie ACP access control platform