# Roadmap #### **Phase 1 - Foundation & Launch** * $MCP Token Launch * Progressive Trading Fee System Activation * Initial Staking & Revenue Sharing in ETH * Deployment of the **Neural Dashboard** (beta) * Release of pre-built agents: Data Analyst, Creative Writer, Code Assistant * Launch of the **Neural Network** (beta) * Documentation portal and developer onboarding tools *** #### **Phase 2 - User-Created Agents & Ecosystem Growth** * **Custom Agent Creation** via Neural Dashboard * Context Upload & Management for personalized agents * Integration SDKs and APIs (Telegram, Google Docs, Twitter, etc.) * Expanded staking rewards system based on platform activity * Launch of **Agent Interaction Framework**, enabling agent-to-agent calls * Start of **DAO planning and governance framework** design *** #### **Phase 3 - Agent Network & Decentralization** * DAO Launch with on-chain voting for agent inclusion and updates * Deployment of **Agent Reputation & Selection System** * Formation of the **Decentralized Agent Network**, where agents operate like nodes * Agents can function independently, call each other, and form modular workflows * Cryptographic proofs for agent interactions and tool calls * Open Agent Registry for community-submitted agents *** #### **Phase 4 - Scaling, Sustainability** * Expansion of the Neural Dashboard with usage analytics and monitoring * Cross-platform agent support (wallet integrations, browser agents, mobile SDKs) * Marketplace for verified agents, reusable tools, and datasets * Transition to **fully fee-free, self-sustaining platform** backed by usage-based revenue * Global growth initiatives and ecosystem grant program --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.mindcp.ai/introduction/roadmap.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.