Connect AI agents to Slack for messaging, channel access, and workflow automation.
Although this is an open-source MIT-licensed project, its description explicitly claims to provide full Slack access via session tokens while bypassing normal app registration, admin approval, and OAuth flows, which is a clear red flag for credential misuse and overreach. With no README, near-zero community adoption, and unknown maintenance status, the overall security posture is high risk.
The material explicitly states it uses Slack session tokens and claims full access without OAuth, admin approval, or app registration; session tokens are typically highly sensitive, and theft or reuse could directly impersonate a user's session, creating a serious credential abuse risk.
The description indicates it accesses Slack, so prompt content or operational data will likely be sent to Slack-related services; the material does not list concrete remote endpoints, and there is no direct evidence of exfiltration to unrelated or unknown third parties, but the egress details are opaque.
System checks indicate this tool executes code or starts processes; this is a common MCP capability and does not by itself justify a high-risk rating, but it does mean the tool has local execution surface and should run in a constrained environment.
The phrase 'full Slack access' implies broad reach into messages, channels, or workspace data under the user's Slack session, while the material also emphasizes bypassing standard authorization flows; this suggests an unusually broad access scope with unclear permission boundaries, which is a red flag for overbroad data access.
While the project is open source and MIT-licensed, which provides some auditability, it comes from a third-party registry, has no README, zero stars, unknown maintenance status, and its stated behavior appears to bypass official authorization mechanisms; overall, supply-chain trust is insufficient.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Slack MCP Server" yet — see the docs or source repo.
After connecting to my Slack session, read the latest 200 messages in #project-alpha, extract action items, owners, and deadlines, and organize them into a prioritized checklist.
A structured action-item list with tasks, owners, deadlines, and priorities.
Monitor Slack messages that mention me; if a question is about the release plan, draft a professional reply from context, post it in the original thread, and flag high-risk issues for my review.
Appropriate threaded replies are posted automatically, with risky items flagged for manual review.
Read all updates posted today in the #daily-standup Slack channel, summarize each member’s completed work, today’s plan, and blockers, and produce a concise daily report for management.
A clear standup report grouped by member, showing progress, plans, and blockers.
Connect AI to Slack for messaging, channel management, users, and file uploads.
Lets AI access Slack as a user to search, read, and post messages.
Enable AI agents to read and send Slack messages as you.
Let AI access Slack data to search conversations and support collaboration.
Let AI manage Slack messages, threads, channels, and user info.
Integrate Slack via MCP tools and webhooks for collaboration and automation.