{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_hs03-auto-terminal","slug":"hs03-auto-terminal","name":"auto-terminal","type":"mcp","url":"https://smithery.ai/servers/hs03/auto-terminal","page_url":"https://unfragile.ai/hs03-auto-terminal","categories":["mcp-servers","observability","app-builders"],"tags":["mcp","model-context-protocol","smithery:hs03/auto-terminal"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_hs03-auto-terminal__cap_0","uri":"capability://automation.workflow.real.time.process.monitoring","name":"real-time process monitoring","description":"This capability allows users to view live stdout and stderr logs for any running process by leveraging a combination of asynchronous I/O and event-driven architecture. It uses Server-Sent Events (SSE) to push log updates to the client in real-time, ensuring that users can monitor processes without polling. This approach minimizes latency and provides a seamless user experience.","intents":["How can I monitor the output of my background processes in real-time?","I want to see logs for a specific program while it runs.","Can I get live feedback from my terminal commands?"],"best_for":["developers needing immediate feedback from terminal commands"],"limitations":["SSE transport may not be supported in all environments, requiring web browser compatibility"],"requires":["Python 3.9+","fastmcp library"],"input_types":["command names","process identifiers"],"output_types":["text logs","error messages"],"categories":["automation-workflow","monitoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hs03-auto-terminal__cap_1","uri":"capability://tool.use.integration.arbitrary.shell.command.execution","name":"arbitrary shell command execution","description":"This capability allows users to execute any shell command through the MCP interface by sending a command string along with optional parameters like working directory. It integrates tightly with the underlying Python subprocess module to handle command execution, capturing stdout and stderr for logging. This flexibility enables AI agents to perform a wide range of tasks directly from the terminal.","intents":["How can I run shell commands from my AI agent?","I need to execute a script in a specific directory.","Can I send commands to a running process?"],"best_for":["AI developers integrating terminal commands into their workflows"],"limitations":["Shell command execution is limited by the permissions of the running user"],"requires":["Python 3.9+","fastmcp library"],"input_types":["shell command strings","directory paths"],"output_types":["command output","error messages"],"categories":["tool-use-integration","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hs03-auto-terminal__cap_2","uri":"capability://automation.workflow.background.process.management","name":"background process management","description":"This capability enables users to start, stop, and restart background processes through a simple MCP interface. It uses Python's subprocess management to handle process lifecycles and provides functions to manage these processes efficiently. This allows AI agents to control and interact with multiple processes seamlessly.","intents":["How can I manage background processes from my AI agent?","I want to restart a service automatically when it fails.","Can I stop a running program through my application?"],"best_for":["developers building AI applications that require process management"],"limitations":["Limited to processes started within the same user context"],"requires":["Python 3.9+","fastmcp library"],"input_types":["process names","command configurations"],"output_types":["status messages","process identifiers"],"categories":["automation-workflow","process-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hs03-auto-terminal__cap_3","uri":"capability://data.processing.analysis.program.configuration.management","name":"program configuration management","description":"This capability allows users to add, remove, and manage configurations for programs that can be executed through the MCP. It stores configurations in a structured format, allowing for easy retrieval and modification. This feature is essential for maintaining a dynamic environment where processes can be easily adjusted based on user needs.","intents":["How can I save configurations for my frequently used programs?","I need to update the command for a running service.","Can I remove a program configuration that I no longer use?"],"best_for":["developers looking to streamline their process management"],"limitations":["Configurations are stored in memory and may not persist after a restart unless saved externally"],"requires":["Python 3.9+","fastmcp library"],"input_types":["program names","command strings"],"output_types":["confirmation messages","configuration details"],"categories":["data-processing-analysis","configuration-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_hs03-auto-terminal__cap_4","uri":"capability://tool.use.integration.multi.transport.mcp.server.integration","name":"multi-transport mcp server integration","description":"This capability enables the Auto Terminal to operate as an MCP server using multiple transport methods, including standard input/output and Server-Sent Events (SSE). This flexibility allows developers to choose the most suitable transport for their application context, enhancing compatibility with various AI agents. The implementation leverages the fastmcp library to facilitate seamless communication.","intents":["How can I integrate my AI agent with Auto Terminal?","What transport methods are available for communication?","Can I use SSE for real-time updates in my application?"],"best_for":["developers building AI agents that require terminal interaction"],"limitations":["SSE may not be supported in all environments, limiting its use"],"requires":["Python 3.9+","fastmcp library"],"input_types":["transport method specifications"],"output_types":["connection status","transport details"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":33,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+","fastmcp library"],"failure_modes":["SSE transport may not be supported in all environments, requiring web browser compatibility","Shell command execution is limited by the permissions of the running user","Limited to processes started within the same user context","Configurations are stored in memory and may not persist after a restart unless saved externally","SSE may not be supported in all environments, limiting its use","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.45,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:26.913Z","last_scraped_at":"2026-05-03T15:19:41.319Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=hs03-auto-terminal","compare_url":"https://unfragile.ai/compare?artifact=hs03-auto-terminal"}},"signature":"sv2h95GgyN+hZnYpvB9g7i4VYpv7egzqDI5TN16wSL7MC64rjZXDGdCh+1Ba9Jv9Iy26tiUmHo06pOQn6lxRAw==","signedAt":"2026-06-22T06:54:39.924Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hs03-auto-terminal","artifact":"https://unfragile.ai/hs03-auto-terminal","verify":"https://unfragile.ai/api/v1/verify?slug=hs03-auto-terminal","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}