SLOP MCP integration for dynamic MCP server management. Migrate existing configs, register servers at runtime, search and execute tools across servers, automate workflows with SLOP scripts, and orchestrate multi-server pipelines. Includes Dart MCP tool reference skills.
Register an MCP server with slop-mcp
Execute a tool on a slop-mcp managed MCP server
Check slop-mcp status and display configuration overview
List all MCP servers managed by slop-mcp
Migrate existing MCP configurations to slop-mcp management
Uses power tools
Uses Bash, Write, or Edit tools
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AI coding agent toolkit - browser superpowers, code intelligence, and development tools.
This marketplace contains 13 plugins for Claude Code:
| Plugin | Description | Version | Category |
|---|---|---|---|
| agnt | Browser superpowers: process management, reverse proxy, frontend debugging, sketch mode | 0.7.12 | development |
| lci | Lightning Code Index: sub-millisecond semantic code search | 0.4.0 | development |
| tools | Complete toolkit combining agnt and lci | 1.0.0 | development |
| mcp-architect | Design high-quality MCP servers with progressive discovery and token efficiency | 0.1.0 | development |
| mcp-tester | MCP server testing and debugging with mcp-debug | 0.2.0 | development |
| slop-mcp | SLOP integration for MCP management and orchestration | 0.2.0 | development |
| slop-coder | SLOP language coding assistant and reference | 0.1.0 | development |
| dartai | Dart task management with adversarial cooperation loops | 0.3.0 | development |
| workflow | General-purpose adversarial workflow automation | 0.1.0 | development |
| figma-query | Token-efficient Figma integration with design library extraction | 0.1.0 | design |
| ux-design | UX design principles, color theory, typography, and accessibility | 0.1.0 | design |
| ux-developer | UX-driven development with WCAG 2.2 and usability best practices | 0.1.0 | development |
| prompt-engineer | State-of-the-art prompt and context engineering for 2026 | 0.1.0 | ai |
# Via npm (recommended)
npm install -g @standardbeagle/agnt @standardbeagle/lci
# Via pip
pip install agnt lightning-code-index
# Via Go (lci only)
go install github.com/standardbeagle/lci/cmd/lci@latest
Option A: Via slop-mcp (recommended if available)
mcp__plugin_slop-mcp_slop-mcp__manage_mcps
{ "action": "register", "name": "agnt", "command": "npx", "args": ["-y", "@standardbeagle/agnt", "mcp"], "scope": "user" }
{ "action": "register", "name": "lci", "command": "npx", "args": ["-y", "@standardbeagle/lci", "mcp"], "scope": "user" }
Option B: Add to .mcp.json
{
"agnt": {
"command": "npx",
"args": ["-y", "@standardbeagle/agnt", "mcp"]
},
"lci": {
"command": "npx",
"args": ["-y", "@standardbeagle/lci", "mcp"]
}
}
The plugins provide commands, skills, and agents that help you use the MCP tools:
# Install the complete toolkit (recommended)
claude plugin add tools@standardbeagle-tools
# Or install individual plugins
claude plugin add agnt@standardbeagle-tools
claude plugin add lci@standardbeagle-tools
Give your AI coding agent browser superpowers:
__devtool API)Requirements: agnt binary via npm/pip or GitHub releases
Sub-millisecond semantic code search and code intelligence:
Requirements: lci binary via npm/pip/go or GitHub releases
Best of both worlds - combines agnt and lci for the ultimate AI coding experience.
Requirements: Both agnt and lci binaries
standardbeagle-tools/
├── .claude-plugin/
│ └── marketplace.json # Marketplace registry
├── plugins/
│ ├── agnt/ # Browser superpowers plugin
│ │ ├── .claude-plugin/
│ │ ├── commands/
│ │ ├── skills/
│ │ ├── agents/
│ │ └── mcp.json.disabled
│ ├── lci/ # Code intelligence plugin
│ │ ├── .claude-plugin/
│ │ ├── commands/
│ │ ├── skills/
│ │ └── mcp.json.disabled
│ └── tools/ # Combined plugin
│ ├── .claude-plugin/
│ ├── commands/
│ ├── agents/
│ └── mcp.json.disabled
└── README.md
Dart task management with adversarial cooperation loops and full dart-query MCP schema parity - DartQL batch operations, advanced filtering, task relationships, documents, time tracking, and automated task execution through quality verification pipelines.
MCP server testing and debugging toolkit. Dynamic server management, traffic analysis, schema validation, and hot-swap development workflows.
Prompt and context engineering toolkit. Includes DSPy-inspired optimization, Claude patterns, context engineering, chain-of-thought design, RAG prompting, and multi-agent orchestration techniques.
General-purpose adversarial workflow automation with Ralph Wiggum loops. Context-aware task execution with clean subagent isolation, multi-stage verification, hook-based iteration tracking, and intelligent memory preservation before context compaction. Inspired by Goose Ralph loops and g3 principles.
SLOP language coding assistant - teaches LLMs how to write SLOP code with comprehensive language reference, patterns, and best practices for building AI agents and orchestration workflows.
npx claudepluginhub standardbeagle/standardbeagle-tools --plugin slop-mcpManage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.
Build FastMCP 3.x Python MCP servers — covers provider/transform architecture (including CodeMode, Tool Search, and server-level transforms), component versioning, session state, authorization (MultiAuth, PropelAuth, connection-pooled token verifiers), evaluation creation, Pydantic validation, async patterns, STDIO and HTTP transports, nginx reverse proxy deployment, background tasks, Prefab Apps UI, security patterns, client SDK usage, testing, deployment, and migration from FastMCP v2. TypeScript is a legacy reference only and is not updated for v3.
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation