MCP servers provide tools that enable AI models to interact with external systems, perform computations, or access data. Here are some examples of tools that might be available in an MCP server:
System Operations: Tools that interact with the local system, such as executing shell commands or managing files.
Example: A tool named execute_command that runs a shell command with specified arguments.
API Integrations: Tools that wrap external APIs to perform specific tasks.
Example: github_create_issue for creating issues in a GitHub repository.
Data Processing: Tools that analyze or transform data.
Example: analyze_csv for processing CSV files to calculate sums, averages, or counts.
Web Automation: Tools for fetching web content or automating browser actions.
Example: fetch_web_content to retrieve and process data from websites.
Productivity Tools: Tools for managing tasks or communication.
Example: slack_message to send messages to a Slack channel.
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