C-

npm:burn-mcp-server

Item: npm:burn-mcp-server
Rating: 72
Author: wmcp.sh

https://www.npmjs.com/package/burn-mcp-server

72/100 · MCP Trust Grade · checked 4h ago · MCP 2.1.0

What it offers — 26 tools · Database

search_vault

Search your Burn Vault for bookmarks by keyword (searches title, tags, AI takeaway)

list_vault

List bookmarks in your Vault, optionally filtered by category

list_sparks

List your Sparks (bookmarks you have read, with 30-day lifespan). Includes spark insight and expiry date.

search_sparks

Search your Sparks by keyword (searches title, tags, AI takeaway, spark insight)

get_bookmark

Get full details of a single bookmark including AI analysis and extracted content

get_article_content

Get full article content and AI analysis for a bookmark by ID (same as get_bookmark)

fetch_content

Fetch article/tweet content from a URL. Works with X.com (bypasses GFW via proxy), Reddit, YouTube, Bilibili, WeChat, and any web page. First checks S

list_categories

List all Vault categories with article counts

list_flame

List bookmarks in your Flame inbox (24h countdown). Shows AI triage info (strategy, relevance, novelty, hook) and time remaining. Use this to see what

get_flame_detail

Get full details of a Flame bookmark including extracted article content, AI analysis, and reading guidance. Use this to deep-read a bookmark before d

get_collections

List all your Collections with article counts and AI overview themes

get_collection_overview

Get a Collection by name with its AI overview and linked bookmarks metadata

move_flame_to_spark

Move a Flame bookmark to Spark (mark as worth reading). Sets 30-day Spark lifespan.

move_flame_to_ash

Burn a Flame bookmark to Ash (not worth keeping).

move_spark_to_vault

Promote a Spark bookmark to permanent Vault storage.

move_spark_to_ash

Burn a Spark bookmark to Ash (not valuable enough to vault).

batch_triage_flame

Triage multiple Flame bookmarks at once. Each decision moves a bookmark to Spark or Ash.

write_bookmark_analysis

Write AI analysis results into a bookmark. Agent analyzes content with its own LLM, then writes structured results back to Burn. Only provided fields

+8 more tools

Spec / packaging20%100

✓ depends on an MCP SDK
✓ declares a bin entry (runnable server)
✓ 26 tool(s) detected in source

Security (OWASP MCP)30%25

⚠ references sensitive file paths / env secrets
uses eval/exec/child_process (review for unsanitized input)
scanned 5 source files

Maintenance / popularity20%100

published within 90 days
14 published versions

Tool hygiene15%70

no TypeScript types
3 runtime deps

Transparency / provenance15%90

✓ public repository linked
✓ MIT license

Findings

WARNMCP08 References sensitive file paths / environment secrets.

INFO Static analysis of npm package burn-mcp-server@2.1.0 (stdio server — no remote endpoint). Reliability/behavioral signals require running it; not measured.

Grade another server

We re-grade npm:burn-mcp-server on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.

Share this report card

A 1200×630 card with the grade + audit — drop it in a post, Slack, or your repo.

MCP Trust report card — npm:burn-mcp-server grade C-

Share on X Open card image

https://wmcp.sh/mcp/grade/npm%3Aburn-mcp-server

Embed this grade

A live badge — it re-verifies itself and shows current stability. Static scorecards can't. Paste it in your README or site to show users you're independently audited.

Markdown (for your README)

[![MCP Trust Grade C-](https://wmcp.sh/mcp/grade/npm%3Aburn-mcp-server/badge.svg)](https://wmcp.sh/mcp/grade/npm%3Aburn-mcp-server)

HTML

<a href="https://wmcp.sh/mcp/grade/npm%3Aburn-mcp-server"><img src="https://wmcp.sh/mcp/grade/npm%3Aburn-mcp-server/badge.svg" alt="MCP Trust Grade C- · wmcp.sh"></a>

Agents: check this before connecting

Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:

https://wmcp.sh/mcp/trust

How this grade is computed. An open, independent rubric — Spec conformance (20%), Security mapped to the OWASP MCP Top 10 (30%), Reliability (20%), Tool hygiene (15%), Transparency (15%) — run by connecting to the server and inspecting its real MCP surface. The grade is free and identical whether or not the operator pays. v1 uses static + spec signals from a single connection; continuous uptime, real latency, and annotation-truthing (declared readOnly vs observed behavior) layer on via the wmcp.sh proxy.