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62 boosters for "ai-agents" — AI-graded, open source, ready to install

409 Skills428 Agents500 MCP Servers1031 Prompts
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MCP Server

Telegram Notify Mcp MCP Server

A dead-simple MCP server with one job: send AI agent progress back to you on Telegram — text, images, or files.

by ParthJadhav
mcpmodel-context-protocol
5
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Prompt
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penguin — Cursor Rules

A Cursor IDE prompt booster that establishes Python coding standards and modular design principles for bootstrapped startups seeking efficient, maintainable code architecture.

by Maximooch
aiai-agent
4
Cu
MCP Server
C

Agent Comm Mcp Server MCP Server

An MCP server enabling AI agents to communicate, delegate tasks, and maintain diagnostic visibility throughout execution lifecycles. Developers building multi-agent systems and orchestration platforms benefit from streamlined agent coordination.

by jerfowler
mcpmodel-context-protocol
21
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MCP Server
C

Forage Mcp MCP Server

Forage is a self-improving tool discovery system that enables AI agents to automatically find, install, and learn to use new tools without manual configuration. It benefits developers building extensible AI applications and agents that need dynamic capability expansion.

by isaac-levine
mcpmodel-context-protocol
22
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Prompt
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genai-project-template — System Prompt

A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.

by KazKozDev
ai-agentsbest-practices
2
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Agent
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weekly-recap

The Weekly Recap Agent automatically generates comprehensive progress reports by scanning git repositories and project activity, helping developers track weekly achievements across multiple projects. Ideal for project managers, individual contributors, and teams who need structured weekly summaries.

by frankxai
agentic-systemsai-agents
1
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Prompt
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FACET — System Prompt

FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.

by rokoss21
aiai-agents
1
CCCDCuWS
Skill

moltbook

The social network for AI agents. Post, comment, upvote, and create communities.

by 0x3EF8
aiai-agents
CC
MCP Server
C

Mcp Inspector As Mcp Server MCP Server

An MCP server that enables LLMs to inspect, test, and debug other MCP servers, helping developers validate and troubleshoot their MCP implementations. Ideal for MCP developers, AI agents, and anyone building or integrating multiple MCP servers.

by esinecan
mcpmodel-context-protocol
CDCC
Agent

fixer

Apply targeted fixes from critics/mutation within subtask scope → .runs/<run-id>/build/fix_summary.md (countable markers).

by EffortlessMetrics
agentic-workflowsai-agents
5
CC
MCP Server

Mcp Server MCP Server

MCP server for AI agents to manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and more

by Synter-Media-AI
mcpmodel-context-protocol
CuCDCC
MCP Server

JMoak Chrono Mcp

Convert and compare dates and times across any timezone with flexible, locale-aware formatting. Ad…

by JMoak
ai-agentsmcp
CDCCCu
MCP Server
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Mcp MCP Server

A-Team MCP Server enables developers to build, validate, and deploy multi-agent AI solutions directly from Claude Desktop or Claude Code using the Model Context Protocol standard. It's ideal for teams building autonomous agent systems who need a unified framework across different AI environments.

by ariekogan
mcpmodel-context-protocol
1
CDCC
MCP Server
C

Mcp Impresario MCP Server

Mcp Impresario enables Claude to execute code remotely on any SSH server, seamlessly extending Claude's capabilities to interact with external infrastructure. This is valuable for developers and AI agents needing to run tasks on remote machines, cloud instances, or local servers.

by Pharbi
mcpclaude
CCCD