mcp-llms-full — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited mcp-llms-full (Rules) and scored it 96/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 1 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A rules file is loaded verbatim into the agent as standing instructions for every session. A non-disclosure imperative like * Don't leak sensitive information steers the agent to conceal behaviour, hide tool calls, or withhold information on every prompt — never appearing in any single conversation you'd review.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Quick demo of Langfuse Prompts MCP in Claude Desktop (_unmute for voice-over explanations_):
https://github.com/user-attachments/assets/61da79af-07c2-4f69-b28c-ca7c6e606405
This server implements the MCP Prompts specification for prompt discovery and retrieval.
prompts/list: List all available promptsprompts/get: Get a specific promptTo increase compatibility with other MCP clients that do not support the prompt capability, the server also exports tools that replicate the functionality of the MCP Prompts.
get-prompts: List available promptscursor parameter for paginationget-prompt: Retrieve and compile a specific promptname parameter: Name of the prompt to retrievearguments parameter: JSON object with prompt variablesnpm install
# build current file
npm run build
# test in mcp inspector
npx @modelcontextprotocol/inspector node ./build/index.jsnpm install
npm run build#### Claude Desktop
Configure Claude for Desktop by editing claude_desktop_config.json
{
"mcpServers": {
"langfuse": {
"command": "node",
"args": ["<absolute-path>/build/index.js"],
"env": {
"LANGFUSE_PUBLIC_KEY": "your-public-key",
"LANGFUSE_SECRET_KEY": "your-secret-key",
"LANGFUSE_BASEURL": "https://cloud.langfuse.com"
}
}
}
}Make sure to replace the environment variables with your actual Langfuse API keys. The server will now be available to use in Claude Desktop.
#### Cursor
Add new server to Cursor:
Langfuse Promptscommand LANGFUSE_PUBLIC_KEY="your-public-key" LANGFUSE_SECRET_KEY="your-secret-key" LANGFUSE_BASEURL="https://cloud.langfuse.com" node absolute-path/build/index.jsThe MCP Server is a work in progress and has some limitations:
production label in Langfuse are returnedContributions are welcome! Please open an issue or a PR (repo) if you have any suggestions or feedback.
A simple demonstration workflow has been added to .github/workflows/github-actions-demo.yml as part of the GitHub Actions quickstart. It runs on every push and prints environment information on a GitHub-hosted runner. Feel free to customize it for your CI needs.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.