Mattermost MCP Host
by jagan-shanmugam
A Mattermost integration with Model Context Protocol (MCP) servers that leverages AI language models to provide an intelligent interface for managing and executing tools through Mattermost. It allows for AI-powered assistance, tool management, and seamless integration with various AI providers.
Last updated: N/A
What is Mattermost MCP Host?
The Mattermost MCP Host is a bridge between Mattermost and Model Context Protocol (MCP) servers. It enables users to interact with AI language models and execute tools exposed by MCP servers directly from Mattermost, streamlining workflows and leveraging AI capabilities.
How to use Mattermost MCP Host?
To use, install the mattermost-mcp-host package, configure environment variables for Mattermost and your chosen AI provider, and start the integration. Use the command line utility (mcp_tool_caller.py) to interact with the MCP API or in a Mattermost channel, use commands like /help, /servers, and /<server_name> tools to access tooling.
Key features of Mattermost MCP Host
AI-Powered Assistance: Integrates with multiple AI providers (Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini)
MCP Server Integration: Connect to any Model Context Protocol (MCP) server
Tool Management: Access and execute tools from connected MCP servers
Thread-Based Conversations: Maintains context within Mattermost threads
Tool Chaining: AI can call multiple tools in sequence to accomplish complex tasks
Resource Discovery: List available tools, resources, and prompts from MCP servers
Multiple Provider Support: Choose your preferred AI provider with a simple configuration change
Use cases of Mattermost MCP Host
Automated task execution within Mattermost
AI-powered support and assistance through Mattermost
Integrating AI capabilities into existing Mattermost workflows
Centralized access to tools and resources through Mattermost
Orchestration of multiple tools to execute complex tasks
FAQ from Mattermost MCP Host
What AI providers are supported?
What AI providers are supported?
The integrations supports Azure OpenAI, OpenAI, Anthropic Claude, and Google Gemini. Ensure you have the correct API keys for the service you use
Can I chain together different tools to achieve a specific outcome?
Can I chain together different tools to achieve a specific outcome?
Yes, the AI can call multiple tools in sequence to accomplish complex tasks
How do I connect to MCP servers?
How do I connect to MCP servers?
Configure the integration host to connect to your MCP instance by adding the host URL to the configuration.
What Mattermost permissions does this application require?
What Mattermost permissions does this application require?
The bot account needs the necessary permissions to write in channel to call commands and provide tooling outputs.
What is Model Context Protocol (MCP)?
What is Model Context Protocol (MCP)?
The Model Context Protocol facilitates the sharing of tools and resources between different software systems and LLMs.