About My Slack MCP Server Extension
My Slack MCP Server Extension extends the Slack MCP Server with an additional message-search tool for Claude. It adds controls for result count and optional exclusion of direct messages.
Key features
- 01Search messages across channels
- 02Set the number of results
- 03Optionally exclude direct messages
Use cases
- 01Find messages matching a query across channels
- 02Limit search results to a chosen count
- 03Search without including direct messages
MCP support
This extension adds the `slack_search_messages` tool to the Slack MCP Server. It accepts a query, an optional result count, and a configuration option to exclude direct messages.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMy Slack MCP Server Extension
This is an extension of the Slack MCP Server that enables Claude to interact with Slack workspaces with additional custom functionality.
Additional Tools
slack_search_messages
- Searches for messages across channels with optional DM exclusion
- Required inputs:
query(string): The search query
- Optional inputs:
count(number, default: 5): Number of results to return
- Configuration options:
excludeDMsFromSearch(boolean, default: false): When true, excludes DM results from search by adding-in:@to the query
- Returns: JSON response containing search results
For all other available tools and functionality, please refer to the original Slack MCP Server documentation.
Setup
Please refer to the original Slack MCP Server documentation for setup instructions.
Development
Instructions for developing and contributing to your extension.
License
This extension is licensed under the MIT License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.