Slack
Slack MCP server implementation by Zencoder AI that provides AI assistants with complete access to Slack workspace operations including channel management, message posting, thread replies, reactions, and user profile retrieval. Built with TypeScript using the modern MCP SDK v1.15.1, the implementation supports both stdio and Streamable HTTP transports with optional Bearer token authentication, handles predefined channel configurations for restricted environments, and includes comprehensive Slack API integration with proper OAuth scope management for channels:read, chat:write, reactions:write, and users:read permissions. The server serves developers building AI-powered Slack bots, teams requiring programmatic workspace management, and organizations needing automated customer support or internal communication workflows that leverage Slack's messaging infrastructure with full thread management and user interaction capabilities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- communication
- Source
- PulseMCP
- Repository
- github.com/zencoderai/slack-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Slack from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.