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Server Details

Hosted Slack MCP server for Claude, ChatGPT and Cursor, with each action switched per account.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
Insightful-Pipe/slack-mcp-server
GitHub Stars
0
ChatGPT
–
Claude
–

TDQS

A3.8/5.0

Scored across 4 tools

Disambiguation3/5

query_contexts is a clear metadata helper, but execute_action and query_data are both described as the 'Step 3 (FINAL)' workflow tool and require the same query_contexts preparation. Their boundary between performing an action and querying data is not sharp, so the two terminal tools could easily be misselected.

Naming Consistency4/5

execute_action, query_contexts, and query_data follow a verb_noun convention, while prompts_menu breaks it with a plural noun plus noun. The set is readable but not fully consistent.

Tool Count5/5

Four tools are appropriate for a workflow-oriented Slack integration: a context helper, a data query tool, an action executor, and a prompt catalog. Each appears to earn its place without obvious bloat.

Completeness4/5

Coverage looks broad because query_data and execute_action are generic dispatchers backed by dynamically discovered available_actions, covering read and write paths. However, reliance on discovery and lack of explicit operation-level tools means some specific Slack workflows may still require workarounds.

Available Tools

4 tools
execute_actionSlack Execute ActionA
Destructive
Inspect

Execute Slack action (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id AND available_actions

  2. request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] - Get detailed body structure for specific action(s) using actions from available_actions

IMPORTANT: Always call step 2 to see the exact body structure before executing.

Rely on info from steps 1-2 to construct the action body. Follow the schema exactly.

Inputs: body (required). Returns: object

prompts_menuSlack PromptsA
Read-only
Inspect

Browse the Slack prompt catalog.

  1. request='menu' – List public/system prompts (optionally pass workspace_id + prompt_type).

  2. request='prompt_details' – Fetch prompt body by prompt_id. Set is_custom=True + workspace_id for workspace prompts.

Inputs: request (required), is_custom, prompt_id, prompt_type, +1 more. Returns: object

query_contextsSlack Setup HelperA
Read-only
Inspect

Helper for planning InsightfulPipe Slack data queries.

Step 1: request='accounts' – Retrieve workspace_id, brand_id, other source metadata, AND available_actions (all tables you can query).

Step 2: request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] – REQUIRED before querying. Replace with actions from available_actions to get the exact request body, required identifiers, fields, time ranges, and notes for each action.

Optional: request='available_actions' – Standalone call to list all available tables/actions (already included in accounts response).

Optional: request='brands' with brand_id + workspace_id to pull brand guidelines.

Inputs: request (required), actions, brand_id, platform, +1 more. Returns: object

query_dataSlack Data QueryA
Read-only
Inspect

Query Slack data (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id AND available_actions

  2. request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] - Get detailed body structure for specific action(s) using actions from available_actions

IMPORTANT: Always call step 2 to see the exact body structure before querying.

Rely on info from steps 1-2 to construct the query body. Follow the schema exactly.

Inputs: body (required). Returns: object

Tool Schema Changelog

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