Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add opencue/cuecards --skill vc-mcp-managementgit clone --depth 1 https://github.com/opencue/cuecardsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/opencue/cuecards/vc-mcp-management)<a href="https://agentmods.dev/skills/opencue/cuecards/vc-mcp-management"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/vc-mcp-management/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/opencue/cuecards/vc-mcp-management"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/vc-mcp-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01823 |
| Opus 5 | $0.00018 | $0.00911 |
| Sonnet 5 | $0.00007 | $0.00365 |
| Haiku 4.5 | $0.00004 | $0.00182 |
Grade A, and why
vc:mcp-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
98% identical to ck:mcp-management — 25 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Management
Skill for managing and interacting with Model Context Protocol (MCP) servers.
Overview
MCP is an open protocol enabling AI agents to connect to external tools and data sources. This skill provides scripts and utilities to discover, analyze, and execute MCP capabilities from configured servers without polluting the main context window.
Key Benefits:
- Progressive disclosure of MCP capabilities (load only what's needed)
- Intelligent tool/prompt/resource selection based on task requirements
- Multi-server management from single config file
- Context-efficient: subagents handle MCP discovery and execution
- Persistent tool catalog: automatically saves discovered tools to JSON for fast reference
When to Use This Skill
Use this skill when:
- Discovering MCP Capabilities: Need to list available tools/prompts/resources from configured servers
- Task-Based Tool Selection: Analyzing which MCP tools are relevant for a specific task
- Executing MCP Tools: Calling MCP tools programmatically with proper parameter handling
- MCP Integration: Building or debugging MCP client implementations
- Context Management: Avoiding context pollution by delegating MCP operations to subagents
Core Capabilities
1. Configuration Management
MCP servers configured in .Codex/.mcp.json.
Gemini CLI Integration (recommended): Create symlink to .gemini/settings.json:
mkdir -p .gemini && ln -sf .Codex/.mcp.json .gemini/settings.json
See references/configuration.md and references/gemini-cli-integration.md.
GEMINI.md Response Format: Project root contains GEMINI.md that Gemini CLI auto-loads, enforcing structured JSON responses:
{"server":"name","tool":"name","success":true,"result":<data>,"error":null}
This ensures parseable, consistent output instead of unpredictable natural language. The file defines:
- Mandatory JSON-only response format (no markdown, no explanations)
- Maximum 500 character responses
- Error handling structure
- Available MCP servers reference
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/tools.json 90 KB
- README.md 5.6 KB
- references/configuration.md 1.7 KB
- references/gemini-cli-integration.md 5.1 KB
- references/mcp-protocol.md 2.2 KB
- scripts/.env.example 281 B
- scripts/.gitignore 801 B
- scripts/cli.ts 5.3 KB runs code
- scripts/mcp-client.ts 6.7 KB runs code
- scripts/package.json 460 B
- scripts/tsconfig.json 329 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 214 lines · 37 tokens per session scan A e3503c762c6d
vc:mcp-management is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,823 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to ck:mcp-management, differing in 25 lines, and is treated as a copy.
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