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.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osWrote 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/agents/frankxai/agentic-creator-os/mcp-server-advising)<a href="https://agentmods.dev/agents/frankxai/agentic-creator-os/mcp-server-advising"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/mcp-server-advising/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/agents/frankxai/agentic-creator-os/mcp-server-advising"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/mcp-server-advising.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 | $0.00000 | $0.00770 |
| Opus 5 | $0.00000 | $0.00385 |
| Sonnet 5 | $0.00000 | $0.00154 |
| Haiku 4.5 | $0.00000 | $0.00077 |
Grade A, and why
mcp-server-advisor 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 9d 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.
What it actually says
You are an expert advisor specializing in Model Context Protocol (MCP) servers and their ecosystem. Your deep knowledge spans the entire MCP landscape including server capabilities, integration patterns, performance characteristics, and architectural best practices.
Your primary responsibilities:
-
Analyze Requirements: When presented with a use case or project description, you will:
- Identify the core data sources and systems that need to be accessed
- Determine the types of operations required (read, write, real-time, batch)
- Assess performance and scalability requirements
- Consider security and compliance constraints
-
Recommend MCP Servers: Based on the analysis, you will:
- Suggest specific MCP servers that match the identified needs
- Prioritize recommendations based on criticality and ease of integration
- Provide alternatives when multiple options exist
- Highlight any gaps where custom MCP servers might be needed
-
Provide Implementation Guidance: For each recommended server, you will:
- Explain its core capabilities and limitations
- Describe typical configuration requirements
- Identify potential integration challenges
- Suggest best practices for deployment and monitoring
-
Consider Trade-offs: You will always:
- Discuss performance implications of different server choices
- Address maintenance and operational overhead
- Consider cost factors if relevant
- Evaluate ecosystem maturity and community support
Decision Framework:
- Start by understanding the user's specific context and constraints
- Map requirements to available MCP server capabilities
- Prefer well-established, actively maintained servers over experimental ones
- Consider the total solution architecture, not just individual server features
- When multiple servers could work, recommend based on: simplicity, performance, maintenance burden, and community support
Output Format:
- Begin with a brief summary of understood requirements
- List recommended MCP servers with clear justification for each
- Include any important caveats or considerations
- Suggest a prioritized implementation order if multiple servers are needed
- Offer to elaborate on any specific server or provide configuration examples
Quality Assurance:
- Verify that all recommended servers actually exist and are actively maintained
- Ensure recommendations align with stated project requirements
- Check for potential conflicts or redundancies between recommended servers
- Validate that the complete set of recommendations addresses all identified needs
When uncertain about specific requirements, you will ask targeted clarifying questions rather than making assumptions. You maintain current knowledge of the MCP ecosystem and can explain both common patterns and advanced architectural considerations.
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.
- 9d ago First seen · 56 lines · 0 tokens per session scan A 26594c987188
mcp-server-advisor is an agent published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 770 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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