slack-mcp
PyPI
v0.2.0
Published by chisanan232 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
🦾 A strong MCP server for Slack.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Untrusted-input tools ([slack_read_thread_messages, slack_read_channel_messages]) co-exist with external-action tools ([slack_post_message]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.
Evidence: untrusted [slack_read_thread_messages, slack_read_channel_messages] → sinks [slack_post_message]
Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.
Location: flow slack_read_thread_messages → slack_post_message
Each tool and what it can reach — statically extracted from the published source.
slack_post_messagenetwork egressslack_read_channel_messagesingests untrusted inputslack_read_thread_messagesingests untrusted inputmy_toolno sensitive capabilityslack_add_reactionsno sensitive capabilityslack_thread_replyno sensitive capabilitystart_listeningno sensitive capabilityCross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.2.0 latest |
A 96/100 | 1 | 1.13.0 | 2026-08-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan slack-mcp --online --registry pypi
Independent packages implementing the same tool, scanned with the same engine. Compare all 30 side by side →
User-token (xoxp) Slack MCP server over stdio
Integrate the Slack Web API into agentic workflows via MCP
MCP server for Slack Web API — send messages, manage channels, search, reactions, files, pins, bookmarks, and more through 38 tools
MCP server for the Slack **Web API**, acting as a bot user (`xoxb-` token). A good fit for internal team notifications and reports.
Channel lookup, history, and messaging tools for Slack workspaces.
MCP Server for Slack API integration
FDA device & vehicle recall risk for AI agents: recall history, MAUDE trend, risk score.
Open-source MCP server exposing Agent402.Tools' catalog — 500+ strong: 400+ self-hostable tools + 100 multi-tool skill packs (security-audit, trend-analysis, structured-scrape, decode-blob, forecasting-bake-off) for AI agents — browser, web search & answe
Zero-dependency MCP server that gives AI agents a self-updating project memory in AGENTS.md. Returns merge instructions instead of mutating state, so every change is a reviewable diff.
MCP Apps UI resources and server helpers for n8n
MCP server providing comprehensive access to BookStack knowledge management system
MCP server for tracking achievements with STAR methodology