Is DarkFunnels documentation MCP server safe?
Yes, with the usual care.
Safe to use. Minor gaps such as a missing repository or slower maintenance.
What to know before installing
- highWrite-action tools reachable without authentication
Public scan report
scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it
1 high1 low
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 1312ms20/20
- Tool poisoning3 tool descriptions checked13/15
- Auth qualityopen endpoint exposes 2 write-action tools with no auth3/15
- Maintenancelast push 16 days ago15/15
- Maintainer identitynamespace and repository owner differ; website matches verified namespace6/10
Findings (2)
- highWrite-action tools reachable without authentication
auth.open-write - lowUnusually long tool description (over 2,000 characters)
poison.long-descriptiontool query_docs_filesystem_dark_funnels: …Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the DarkFunnels documentation pages. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path to `head` or `cat` — a page at the URL path `/some/page` lives at `/some/page.mdx`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Paths are specific to this site — never guess them.** Discover real paths with `tree / -L 2`, `ls /`, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use `rg -il "keyword" /` to find where it is covered. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /some-directory && ls` or `ls /some-directory`). Do NOT assume that `cd` in one call affects the next call. Examples (replace the placeholder paths with real ones from `tree` or search): - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit" - `rg -C 3 "apiKey" /some-directory/` — show matches with 3 lines of context around each hit - `head -80 /some/page.mdx` — read the top 80 lines of a specific page - `head -80 /page-one.mdx /page-two.mdx /section/page-three.mdx` — read multiple pages in one call - `cat /some/page.mdx` — read a full page when you need everything Output is truncated to 30KB per call. Prefer targeted `rg -C` or `head -N` over broad `cat` on large files. To read only the relevant sections of a large file, use `rg -C 3 "pattern" /path/file.mdx`. Batch multiple file reads into a single `head` or `cat` call whenever possible. When referencing pages in your response to the user, convert filesystem paths to URL paths by removing the `.mdx` extension. For example, `/some/page.mdx` becomes `/some/page`.…
Overall 76/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON
Other servers that do what DarkFunnels documentation does
NotFairOAuth MCP for Google, Meta, X, LinkedIn, Reddit, TikTok, GSC, GA4, WordPress and GHL.not reviewedEstablishedA
HubSpot MCPEvery HubSpot Sales Hub feature, plus offline cross-object queries, property-change-historynot reviewedGrowingB
Linkedin DataLinkedIn data for AI agents: profiles, companies, jobs, posts, search. Sales research, recruiting.not reviewedGrowingA