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 andisab/swe-marketplace --skill mcp-server-devgit clone --depth 1 https://github.com/andisab/swe-marketplaceWrote 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/andisab/swe-marketplace/mcp-server-dev)<a href="https://agentmods.dev/skills/andisab/swe-marketplace/mcp-server-dev"><img src="https://agentmods.dev/badge/skills/andisab/swe-marketplace/mcp-server-dev/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/andisab/swe-marketplace/mcp-server-dev"><img src="https://agentmods.dev/badge/skills/andisab/swe-marketplace/mcp-server-dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 6 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 78 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 93 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00175 | $0.01512 |
| Opus 5 | $0.00088 | $0.00756 |
| Sonnet 5 | $0.00035 | $0.00302 |
| Haiku 4.5 | $0.00017 | $0.00151 |
Grade A, and why
mcp-server-dev 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Creation
Create multi-tool MCP servers in Python or TypeScript that follow the Model Context Protocol specification and Anthropic's tool design best practices.
What MCP Servers Are
An MCP server is a process that exposes one or more tools (and optionally resources and prompts) over the Model Context Protocol. Servers communicate via stdio transport — they read JSON-RPC from stdin and write responses to stdout.
MCP servers are how you package and distribute tool capabilities. An LLM client (Claude Code, Claude Desktop, etc.) starts the server process and calls its tools.
When to Create a Server
- You have 2+ related tools that share configuration, state, or domain
- You want to distribute tools for others to use (via
uvxornpx) - Tools need shared resources (database connections, API clients, auth tokens)
- You're building a domain-specific toolkit (GitHub, database, monitoring, etc.)
When NOT to Create a Server
- Single utility tool — use a standalone tool file (see
mcp-tool-devskill) - Claude Code agent, skill, or command — use their respective creation skills
- REST API — MCP is for LLM tool calling, not general HTTP services
Python vs TypeScript
| Factor | Python (FastMCP) | TypeScript (@modelcontextprotocol/sdk) |
|---|---|---|
| Distribution | uvx (uv tool) |
npx |
| Type system | Type hints + docstrings | Zod schemas |
| Packaging | pyproject.toml |
package.json with bin |
| Async | Native async/await |
Native async/await |
| Best for | Data science, Python tooling, API wrappers | Frontend tooling, Node.js ecosystem, npm distribution |
Choose Python when the tools interact with Python libraries or you prefer pyproject.toml packaging. Choose TypeScript when targeting the npm ecosystem or when tools interact with Node.js libraries.
Creation Workflow
Step 1: Design Your Tools
List every tool with its name, description, parameters, and return format. Apply the consolidation principle: prefer fewer capable tools over many narrow ones.
What ships with it
3 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.
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 · 161 lines · 175 tokens per session scan A f24267a8988e
mcp-server-dev is a skill published in the GitHub repository andisab/swe-marketplace (21 stars, last pushed 21d ago), licensed MIT. It adds 175 tokens to every session and 1,512 once invoked, about $0.0009 per session on Opus 5. 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 2026-08-30.
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