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@@ -19,14 +19,23 @@ DeployStack is **The First MCP-as-a-Service Platform**. We turn MCP from "comple
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## The Problem
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MCP is revolutionizing how AI agents use tools, but it has created a massive challenge for organizations:
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MCP changes how AI agents use tools, but it has created two critical challenges:
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### Problem 1: Management Chaos
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-**Credential Sprawl**: Developers copy and paste sensitive API keys and tokens into insecure local configuration files, creating a huge security risk.
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-**No Governance**: Who is using which tools? Which agent is accessing sensitive customer data? Without a central control plane, companies are blind.
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-**Developer Friction**: Developers spend hours managing complex configurations for dozens of tools, a process that is both tedious and error-prone. Onboarding a new developer is a nightmare of configuration management.
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-**Inconsistent Environments**: Every developer has a slightly different local setup, leading to "it works on my machine" problems and configuration drift.
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DeployStack was built to solve these problems head-on.
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### Problem 2: Context Window Consumption Crisis
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-**Token Bloat**: Each MCP server adds 5-15 tools to context. With 10 servers, that's 75,000+ tokens consumed before any work begins.
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-**Performance Degradation**: LLM accuracy drops significantly after 20-40 tools are loaded.
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-**Hard Limits**: Tools like Cursor enforce a 40-tool maximum, forcing developers to disable useful servers.
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-**Cannot Scale**: Teams hit performance walls when trying to use more than 5-8 MCP servers simultaneously.
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**Real-world example**: Claude Code users report 82,000 tokens (41% of context window) consumed by MCP tools at startup, leaving only 6% for actual work.
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DeployStack solves both problems with a complete MCP management platform and intelligent context window optimization.
-**[Done]****Satellite Pairing Security** - JWT-based token registration system for secure satellite onboarding
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-**[Done]****Public Launch** - production satellite for community use
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-**[Done]****Resource Management** - process isolation (remote MCP) and limits
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-**[Done]****GitHub README and Stars Integration** - automatic GitHub data fetching, secure storage, XSS prevention, DoS protection, and comprehensive audit logging for MCP server catalog enhancement
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-**[Done]****Background Job Queue System** - complete 4-phase custom SQLite-based job queue with worker infrastructure, admin API, frontend monitoring UI, and comprehensive documentation for long-running tasks
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-**[Done]****GitHub README and Stars Integration** - automatic GitHub data fetching, secure storage, XSS prevention, DoS protection, and audit logging for MCP server catalog enhancement
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-**[Done]****Background Job Queue System** - complete 4-phase custom SQLite-based job queue with worker infrastructure, admin API, frontend monitoring UI, and documentation for long-running tasks
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-**[Done]****Cron Job Scheduling System** - recurring task scheduler using node-cron with integration into the job queue system, standard cron expression support, automatic lifecycle management, and complete separation of scheduling logic from execution for reliability and monitoring
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-**[Done]****Frontend Syntax Highlighting** - reusable CodeHighlight component with Prism.js for JSON, JavaScript, TypeScript, Bash, and YAML code blocks
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-**[Done]****Resource Management** - process isolation (stdio) and limits
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-**[Done]****MCP Registry** - integration of the official MCP Registry
-**[To Do]****Optimization Recommendations** - suggest which servers to disable based on usage patterns
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-**[To Do]****Documentation & Case Study** - technical deep-dive blog post with real-world metrics
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**Why This Matters**: Teams currently hit 40-tool limits and context overflow. This feature enables scaling from 3 to 100+ MCP servers without performance degradation.
-**[Done]****Multi-Transport Support** - SSE, Streamable HTTP, Direct HTTP protocols
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-**[Done]****Real-Time Command Orchestration** - instant status feedback
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-**[Done]****Satellite Job System** - recurring background task management with JobManager, abstract BaseJob class, automatic error handling, execution metrics tracking, and extensible architecture for health checks, cleanup tasks, and periodic maintenance operations
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-**[Done]****Satellite Backend Events System** - real-time event processing with convention-based auto-discovery handler pattern, batch processing (1-100 events), partial success handling, JSON schema validation per event type, and extensible architecture supporting MCP client connections, tool executions, server crashes, and custom event types
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-**[Done]****MCP Client Activity Tracking** - personal dashboard feature tracking active MCP clients per user across all components (backend database with mcpClientActivity table, satellite in-memory tracker with 30-second background job reporting via event system, dashboard API endpoint with dual authentication and pagination, client name detection from OAuth/headers/user-agent)
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