πββοΈββ‘οΈ Roadmap
QueryPie AI Hub is constantly striving to provide users with a better AI integration experience. We plan to continuously improve to enhance completeness as an LLM Host and provide more accurate answers. Additionally, we plan to continuously add security features for a safer MCP and Agent environment.
Please check the list of features currently under development or planned for future development below.
Legend: π’ Development Complete | π‘ In Development | π΄ Planning Stage | π Release Date
Collaboration and Workspace π’
Building a collaborative environment for efficient AI utilization at the team level.
- π΄ Workspace
π Q3 2025
: Support for all users to create workspaces and collaborate within workspaces. Includes team-based project management, shared prompt libraries, and real-time collaboration features. - π΄ Role-based Access Control
π Q4 2025
: Ensure both security and efficiency through granular permission management such as administrators, editors, and viewers within workspaces.
MCP and Integration Expansion π
Supporting various service integrations for work automation and productivity improvement.
-
π‘ MCP Integration Expansion
π Q2 2025 ~ Ongoing
: We plan to continuously expand essential SaaS apps for AI work automation to support smooth workflow construction.- Notion
- Salesforce
- ServiceNow
- Hubspot
- Dropbox
- Airtable
- Jenkins
- PagerDuty
- OpsGenie
- Box
- Zoom
- Docusign
- DataDog
- LlamaIndex
- Context7
- Vercel
- Playwright
- Figma
- 100+ additional MCPs will be added
-
π‘ Bring Your Own MCP Integration
π Q3 2025
: We plan to support SSE/Streamable HTTP integration and authentication methods to connect MCP servers already built within enterprises with QueryPie AI Hub.
Security and Infrastructure π
Strengthening security features for safe AI utilization in enterprise environments.
- π‘ Tunneling
π Q3 2025
: We plan to provide tunneling functionality through user local proxies to access user networks. For details, please refer to the Tunneling documentation. - π΄ Audit Log (Beta)
π Q3 2025
: Record all user activities in workspaces in detail to meet compliance requirements and support security incident tracking. - π΄ DLP (Data Loss Prevention)
π Q3 2025
: To protect sensitive data within the company, enable real-time detection of sensitive information from user input data or LLM response data and set types of additional measures. - π΄ UEBA (User and Entity Behavior Analytics)
π Q3 2025
: Analyze user behavior patterns with AI to detect abnormal behavior or security threats early and automatically block them or send notifications to administrators. - π΄ LLM Guardrails
π Q3 2025
: Provide security features to prevent Prompt Injection, sensitive information exposure, and inappropriate behavior against LLMs.
AI Performance and User Experience π
Continuous improvement for more accurate and efficient AI services.
- π‘ Context Recognition Improvement
π Q2 2025 ~ Ongoing
: Learn conversation history and user patterns to provide more accurate and personalized responses. - π‘ Performance Monitoring
π Q2 2025 ~ Ongoing
: Track real-time response speed, accuracy metrics, and user satisfaction to continuously improve service quality. - π΄ Unified MCP Tool
π Q3 2025
: Support low-cost, high-performance MCP tool calls even as the number of integrated MCP tools increases.
Future Vision π
QueryPie AI Hub aims to become a core platform that leads enterprise digital transformation beyond simple AI tools.
We envision a future where AI automates routine tasks and allows more time to be devoted to creative and strategic work. From data analysis to document creation and customer service - AI will become your reliable work partner to help create higher value.
Do you have feedback?
Do you have features youβd like to see added, or would you like to explore collaboration opportunities with QueryPie?
Please feel free to contact us at aihub@querypie.com.