A
licenseNot graded
qualityA
maintenanceEnables AI coding assistants to store and retrieve project-aware context as plain Markdown files locally, with no cloud or vector database required.
2
MIT
MyContext MCP Server
by doko89
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TDQS
A3.5/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: get_project_structure retrieves directory details for a specific project, list_projects enumerates available projects, read_context accesses file content within a project, and search_context performs keyword searches across all projects. There is no overlap in functionality, making tool selection straightforward for an agent.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern with snake_case: get_project_structure, list_projects, read_context, and search_context. The verbs (get, list, read, search) are distinct and appropriate, and the naming style is uniform throughout the set.
Tool Count5/5
With 4 tools, this server is well-scoped for managing context files and projects. The count is appropriate for the domain, providing essential operations without being too sparse or overwhelming, and each tool serves a clear, necessary function.
Completeness4/5
The tool set covers core operations for context management: listing projects, retrieving structure, reading files, and searching content. A minor gap exists in write/update operations (e.g., creating or modifying context files), but the provided tools allow agents to effectively navigate and query the context system.
Maintenance
ActivityInactive
ResponsivenessNo issues