A
licenseNot graded
qualityB
maintenanceEnables semantic search across your local AI conversation history (ChatGPT, Claude, etc.) and provides tools to retrieve context, capture thoughts, and get profile summaries.
65
AGPL 3.0
Convolut MCP Server
by expdal3
Related Servers
Alternatives to Convolut MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceEnables AI assistants to search, retrieve, and manage documents from a Context11 knowledge base through tools like search_context, get_document, and list_folders.68 npmMIT
- AlicenseBqualityCmaintenanceProvides persistent memory management for AI agents with 14 tools, including semantic search, context synthesis, auto-context middleware, and write-back actions to external services like Slack.1898 npm1MIT
- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to Logseq knowledge graphs to read, write, and search pages, blocks, and journals via the Model Context Protocol. It features 17 tools for full graph management, including CRUD operations, batch block insertion, and full-text search.10 npmApache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables storing, searching, and compressing contextual memories for LLM interactions, with tools for memory management and context injection.9MIT
- 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.361,945 npm44MIT
TDQS
A3.5/5.0
Scored across 11 tools
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. For example, create_context, get_context, update_context, and delete_context form distinct CRUD operations, while consolidate_contexts, plan_from_contexts, and search_contexts each serve unique AI-driven functions. The descriptions clearly differentiate overlapping tools like list_contexts (filtering) and search_contexts (semantic search).
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, such as create_context, delete_context, and get_context_stats. There are no deviations in naming conventions, making the set predictable and readable. This uniformity aids in agent selection and understanding of tool purposes.
Tool Count5/5
With 11 tools, the count is well-scoped for a context management server, covering core operations without bloat. Each tool earns its place by addressing specific needs like CRUD, search, export, and AI analysis. This aligns with typical server scopes of 3-15 tools, ensuring comprehensive coverage without overwhelming complexity.
Completeness5/5
The tool surface provides complete CRUD/lifecycle coverage for context management, including create, get, update, delete, list, and search. It extends beyond basics with AI features (consolidate, plan), utilities (export, raw URL), and analytics (stats), leaving no obvious gaps. Agents can perform end-to-end workflows without dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues