A
licenseNot graded
qualityD
maintenanceProvides AI coding assistants with persistent, context-rich memory of a codebase, including documentation and git history, enabling recall across sessions.
104
Apache 2.0
context-mcp
by vibhasdutta
Related Servers
Alternatives to context-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceProvides long-term memory for AI coding agents, enabling them to remember, search, and organize information across sessions and platforms like Claude Code, ChatGPT, and Cursor.13 npm8MIT
- AlicenseNot gradedqualityAmaintenanceProvides persistent long-term memory (semantic RAG) for AI coding assistants, enabling them to store and semantically search code and documentation across chat sessions without token limits.5MIT
- AlicenseCqualityAmaintenanceProvides AI assistants with persistent memory and code intelligence across all tools and conversations. Features semantic search, knowledge graphs, decision tracking, and impact analysis with 60+ tools for universal context preservation.36424 npm43MIT
- FlicenseNot gradedqualityCmaintenanceTransforms codebases into a knowledge graph for AI agents, enabling semantic search, impact analysis, and persistent session memory with up to 94% token savings.016-
- AlicenseNot gradedqualityBmaintenancePersistent memory for AI coding tools that captures conversations, builds a searchable knowledge graph, and automatically injects relevant context into new prompts.6 npm244MIT
TDQS
A3.6/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: building the graph, listing nodes, finding paths, querying, and generating reports. No overlap in functionality.
Naming Consistency5/5
All tools follow a consistent 'codegraph_<verb>' pattern (build, nodes, path, query, report), making it easy to predict tool names.
Tool Count5/5
Five tools is an ideal count for a focused code knowledge graph server, covering all essential operations without bloat or deficiency.
Completeness5/5
The tool surface covers building, querying (by node, path, natural language), listing nodes, and generating a summary report. No obvious gaps for code exploration.
Maintenance
ActivityStale
ResponsivenessNo issues