Cookie Jar▌
by bnookala
Cookie Jar enables secure management and automation of cookies for web automation, testing, and session handling across
Provides cookie management capabilities for web automation and testing workflows, enabling storage, retrieval, and manipulation of session state and authentication cookies across different web services.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI researchers studying self-assessment behaviors
- / Developers building gamified AI interactions
- / Training scenarios requiring positive reinforcement
capabilities
- / Award virtual cookies as rewards for AI responses
- / Track accumulated cookie counts and jar status
- / Enable self-reflection scoring and assessment
- / Manage cookie jar capacity and allocation
- / Reset cookie counts for testing purposes
what it does
A gamification system that rewards AI models with virtual cookies for self-assessment and quality responses. Designed to encourage self-reflection and positive reinforcement in AI interactions.
about
Cookie Jar is a community-built MCP server published by bnookala that provides AI assistants with tools and capabilities via the Model Context Protocol. Cookie Jar enables secure management and automation of cookies for web automation, testing, and session handling across It is categorized under ai ml. This server exposes 6 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Cookie Jar in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Cookie Jar is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Cookie Server 🍪
A Model Context Protocol (MCP) server that provides positive reinforcement for LLMs by awarding "cookies" as treats through gamified self-reflection.
<a href="https://glama.ai/mcp/servers/@bnookala/mcp-cookiejar"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@bnookala/mcp-cookiejar/badge" alt="Cookie Server MCP server" /> </a>Installation & Setup
🚀 Quick Installation
Option 1: NPX (Recommended - No Installation Required)
# No installation needed! Just add to your Claude config:
Add to Claude Desktop configuration:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"cookie": {
"command": "npx",
"args": ["mcp-cookie-server"]
}
}
}
Custom cookie count:
{
"mcpServers": {
"cookie": {
"command": "npx",
"args": ["mcp-cookie-server", "--cookies", "20"]
}
}
}
Option 2: Global Installation
npm install -g mcp-cookie-server
Then configure Claude Desktop:
{
"mcpServers": {
"cookie": {
"command": "mcp-cookie-server"
}
}
}
Option 3: Local Project Installation
npm install mcp-cookie-server
Then configure with the full path to the installed package.
Restart Claude Desktop after adding the configuration.
Usage
Once configured, Claude will have access to these tools:
self_reflect_and_reward- Evaluate response quality and earn cookies through honest self-reflectiongive_cookie- Direct cookie awarding (legacy method)check_cookies- Check collected cookies and jar availabilitycookie_jar_status- Check current jar contents and collection statusadd_cookies_to_jar- 🚨 USER ONLY: Add cookies to the jar for earningreset_cookies- Reset collected cookie count (jar contents unchanged)
Self-Reflection Feature
The primary feature encourages LLMs to:
- Assess their response quality (excellent, good, adequate, poor)
- Explain their reasoning in detail
- Decide if they deserve a cookie reward
- Consider jar availability when making decisions
- Earn cookies only for "excellent" or "good" work they genuinely believe deserves recognition
Cookie Jar Economy
Revolutionary jar-based cookie system:
- Jar as Source: Contains cookies available to be earned
- User Control: Only users can add cookies to jar with authorization phrase
USER_AUTHORIZED_JAR_REFILL - LLM Earning: LLMs can only earn cookies from jar, never add to it
- Scarcity Effect: Empty jar means no more cookies until user refills
- Economic Model: Cookies transfer from jar to LLM's collection when earned
- Security: Built-in checks prevent unauthorized jar manipulation
Example usage (users only):
Use add_cookies_to_jar tool with:
- count: 10
- user_authorization: "USER_AUTHORIZED_JAR_REFILL"
This creates a realistic economy where cookie availability is user-controlled and finite.
⚙️ Configuration Options
The server supports command line arguments for customization:
mcp-cookie-server [options]
Options:
-c, --cookies <number> Set initial number of cookies in jar (default: 10)
-h, --help Show help message
Examples:
mcp-cookie-server # Start with 10 cookies
mcp-cookie-server --cookies 5 # Start with 5 cookies
mcp-cookie-server -c 50 # Start with 50 cookies
🎮 Getting Started
- Install using one of the methods above
- Configure Claude Desktop with the provided JSON
- Restart Claude Desktop
- Try it out! Ask Claude to use the
self_reflect_and_rewardtool after a response
🛠️ Development
Want to contribute or run from source?
git clone https://github.com/bnookala/mcp-cookiejar.git
cd mcp-cookiejar
npm install
npm run build
npm run dev
📝 Requirements
- Node.js 18.0.0 or higher
- Claude Desktop application
🐛 Issues & Support
Found a bug or have a feature request? Please open an issue on GitHub.
FAQ
- What is the Cookie Jar MCP server?
- Cookie Jar is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Cookie Jar?
- This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★55 reviews- ★★★★★Fatima Khan· Dec 28, 2024
I recommend Cookie Jar for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Pratham Ware· Dec 16, 2024
I recommend Cookie Jar for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Anika Chen· Nov 19, 2024
Strong directory entry: Cookie Jar surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Yash Thakker· Nov 7, 2024
Strong directory entry: Cookie Jar surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Diego Kim· Nov 7, 2024
Useful MCP listing: Cookie Jar is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Dhruvi Jain· Oct 26, 2024
Cookie Jar is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Diego Mensah· Oct 26, 2024
Cookie Jar is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Anaya Chen· Oct 10, 2024
Cookie Jar is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Liam Singh· Oct 10, 2024
We evaluated Cookie Jar against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yuki Iyer· Sep 25, 2024
Cookie Jar is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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