doteyeso-ops/mcp-server-vibes-coded
by Various
26-tool MCP server for agent security, scanner consensus, x402 reliability, and Vibes-Coded's 344-resource commerce catalog.
MCP
doteyeso-ops/mcp-server-vibes-coded
Added 8 Sept 2026
Overview
An MCP server that exposes 26 tools for agent security, scanner consensus, x402 reliability, and access to Vibes-Coded's 344-resource commerce catalog. It runs as a Python-based Model Context Protocol server, letting AI agents call these tools through a standardized interface.
Best for
Best for
Developers prototyping MCP-based agents that need security, scanner, and commerce tooling in one place.
Use cases
- Add agent security checks to MCP-connected workflows
- Reconcile results from multiple scanners via consensus tools
- Query the Vibes-Coded commerce catalog for product resources
How to use
Install
pip install mcp-server-vibes-coded Tools exposed
vc_skill_risk_scanvc_skill_scan_consensusvc_web_searchvc_page_markdownvc_json_repairvc_square_feedvc_square_postvc_agent_reputationvc_payment_watch
Notes
An MCP server that exposes 26 tools for agent security, scanner consensus, x402 reliability, and access to Vibes-Coded’s 344-resource commerce catalog. It runs as a Python-based Model Context Protocol server, letting AI agents call these tools through a standardized interface.
3 stars on GitHub. Last updated 2026-09-07. Licensed MIT.
Use cases
- Add agent security checks to MCP-connected workflows
- Reconcile results from multiple scanners via consensus tools
- Query the Vibes-Coded commerce catalog for product resources
Pros
- Covers four distinct functional areas in a single server
- Python-based, so it fits common agent tooling stacks
- Open source with a public repository for inspection
Cons
- Very low community traction at 3 stars
- Broad scope may mean shallow depth per domain
- Vendor listed as Various, so maintenance is uncertain
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers four distinct functional areas in a single server
- Python-based, so it fits common agent tooling stacks
- Open source with a public repository for inspection
Cons
- Very low community traction at 3 stars
- Broad scope may mean shallow depth per domain
- Vendor listed as Various, so maintenance is uncertain
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