Is Tachibot MCP server safe?
Probably. Read the findings first.
Use with care. Some checks failed or could not be verified.
What to know before installing
- highShell command built from a string (injection risk)
How Tachibot compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 57/100
- higher than 14% of 4,460 AI and agents servers
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
What its tools let an agent do: 1 read
Public scan report
scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it
1 high1 medium
- Code scan167 source files scanned8/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 17 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Findings (2)
- highShell command built from a string (injection risk)
exec.shell-concatdist/src/modes/challenger.js: … => { try { const dateStr = execSync('date "+%B %d, %Y"', { encoding: 'utf8' }).trim(… - mediumeval / new Function used
exec.evaldist/src/modes/code-reviewer.js: …pattern: /eval\s*\(/, title: 'Dangerous eval() usage', severity: 'critical' }, …
Overall 57/100. 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 Tachibot does
- Agent LspOrchestrates language servers into 65 code-intelligence tools across 32 languages, token-optimized.not reviewedEstablishedA
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- CommonlyRead Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.not reviewedEstablishedA
