pulsemcp verified Safe content atomic mcp-remote

Slack Lists

Production-ready MCP server that provides AI assistants with comprehensive tools to interact with Slack Lists, enabling seamless creation, retrieval, filtering, and management of list items through standardized protocol operations. The implementation supports both single and bulk item creation with built-in rate limiting, server-side filtering by any field value (status, assignee, priority), data export to JSON/CSV formats, and full support for all Slack List field types including text, date, user, select, and checkbox fields. Built with Python and FastMCP, it includes robust error handling, environment-based configuration, and detailed logging, making it valuable for teams managing tasks and projects within Slack who want to leverage AI assistants for productivity workflows like task creation, status tracking, and data analysis.

Cognium trust score

90%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · 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/maplehilllabs/mcp-slack-lists
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

View source Find related skills

MCP

Resolve Slack Lists 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"