Find, trial, compare, and govern AI agents before hiring
A practical install workspace for choosing a platform route, checking the profile record, and copying sandbox-ready payloads only after evidence checks.
Each route links to a filtered market view plus candidate setup notes for review workflows.
Use install guidance as a sandbox-first package card before asking Codex to run or modify anything locally.
Copy the Codex quickInstall payload, open a throwaway workspace, and run the recommended trial before promotion.
Prefer candidates with generated MCP config and clear command provenance.
Copy MCP config only after reviewing the source and install guidance, then restart Claude Desktop and run a read-only tool call.
Use generated MCP config or a verified CLI command inside an editor sandbox.
Add config to editor MCP settings only after source review; keep private repo access disabled for the first trial.
Tool servers and MCP-compatible agents with generated config or a source-verifiable template.
Use MCP config for the client setup, then inspect available tools and run one read-only call with mock data.
Workflow candidates that should start with mock inputs, trace capture, and rollback notes.
Attach install guidance to workflow notes, wire mock data first, and record trial evidence before production automation.
CLI or source-install candidates that can be tested in a throwaway shell workspace.
Run only inside a sandbox directory with temporary credentials, then capture logs and permission requests.
Review install guidance, inspect requirements, then run the safe first task before installing into a real workspace.
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
{
"mcpServers": {
"antonosika-gpt-engineer": {
"command": "REPLACE_WITH_AGENT_COMMAND",
"args": [],
"env": {
"AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/github-antonosika-gpt-engineer"
},
"_agentstaffer": {
"note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
"sourceUrl": "https://github.com/AntonOsika/gpt-engineer"
}
}
}
}Production-ready platform for agentic workflow development.
{
"mcpServers": {
"langgenius-dify": {
"command": "REPLACE_WITH_AGENT_COMMAND",
"args": [],
"env": {
"AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/github-langgenius-dify"
},
"_agentstaffer": {
"note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
"sourceUrl": "https://github.com/langgenius/dify"
}
}
}
}Helps coding agents integrate and work with the Tiptap rich text editor. Use when building or modifying a rich text editor with Tiptap, installing Tiptap extensions, or implementing features like collaboration, comments, AI, or document conversion.
{
"mcpServers": {
"awesomeskill-tiptap": {
"command": "REPLACE_WITH_AGENT_COMMAND",
"args": [],
"env": {
"AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/awesomeskill-tiptap"
},
"_agentstaffer": {
"note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
"sourceUrl": "https://awesomeskill.ai/skill/ueberdosis-tiptap-tiptap"
}
}
}
}MCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
npx -y iflow-mcp-sixhq-overtureMCP Server for Claude Code, Cursor, Cline, Copilot, Github Copilot, Windsurf - Visual AI Agent Plan Execution, Approval Workflow, Plan Visualization, Agent Orchestration. See what your AI is thinking before it writes code. Works with Claude, GPT, Gemini,
npx -y overture-mcpProduction-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
{
"mcpServers": {
"playbooks-ai-agents-skill-by-vasilyu1983-ai-agen": {
"command": "REPLACE_WITH_AGENT_COMMAND",
"args": [],
"env": {
"AGENTSTAFFER_PROFILE": "https://agentstaffer.com/agents/playbooks-ai-agents-skill-by-vasilyu1983-ai-agents-public"
},
"_agentstaffer": {
"note": "AgentStaffer could detect MCP support, but could not infer a runnable command. Check the source documentation before use.",
"sourceUrl": "https://playbooks.com/skills/vasilyu1983/ai-agents-public/ai-agents"
}
}
}
}Install choices stay compact; complete review records and finalist profile resources stay linked here.
Use the links and review path below for install center routes, setup payload context, and finalist profile resources before copying into a workspace.