RuntimeClue
Related Servers
Alternatives to RuntimeClue
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceProvides AI coding agents with structured, evidence-based diagnostics about the local development environment, detecting tech stack, runtime mismatches, dependency state, services, ports, and Git status without exposing secrets or using network calls.10Apache 2.0
- FlicenseAqualityBmaintenanceProvides AI coding agents with real-time visibility into local development runtime state, enabling them to tail application logs, inspect ports, monitor process metrics, and diagnose network errors.1-
- AlicenseAqualityDmaintenanceZero-config MCP server that gives AI coding assistants a real-time diagnostic snapshot of your local dev environment. Detects framework, running services, recent errors, git state, and provides a health diagnosis in one call.36 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables LLM clients to inspect local dev environments—Docker container health, pnpm workspace integrity, and stuck process detection—without manual terminal copy-pasting.MIT
- AlicenseNot gradedqualityAmaintenanceA secure, local-first MCP server for read-only inspection and troubleshooting of development environments, exposing narrow, typed, auditable capabilities for repository inspection, log summarization, Docker review, and security scanning without granting unrestricted machine access.MIT
- AlicenseAqualityCmaintenanceEnables LLM clients to inspect local development environment, including Docker container health, pnpm workspace integrity, and stuck process diagnosis.4MIT
TDQS
Scored across 7 tools
Each tool targets a distinct resource or action: HTTP requests, git status, database queries, project discovery, process listing, port listing, and log reading. There is no functional overlap; even similar tools like list_processes and list_ports focus on different aspects of system state. The descriptions further clarify boundaries, ensuring an agent can confidently select the right tool.
All tool names use snake_case and are clear, but there is a mix of noun-phrase names (http_request, git_status, db_query) and verb-noun names (inspect_project, list_processes, list_ports, read_logs). While the style is consistent, the lack of a uniform verb-noun pattern is a minor deviation from ideal consistency, though it remains readable and predictable.
With 7 tools, the server is well-scoped for a runtime diagnostic purpose. Each tool covers a distinct aspect of investigation—project config, processes, ports, logs, git state, database queries, and HTTP probing—without redundancy or bloat. The count feels appropriate for the domain and does not overwhelm or underdeliver.
The tool surface covers the core diagnostic lifecycle: initial project discovery (inspect_project), environment inspection (list_processes, list_ports), historical context (read_logs, git_status), data exploration (db_query), and direct endpoint testing (http_request). There are no obvious dead ends—agents can fully investigate runtime issues using these tools together. The read-only nature aligns with the intended purpose, and optional write capabilities (e.g., POST via http_request) are available when explicitly enabled.