Contextual MCP Server
OfficialRelated Servers
Alternatives to Contextual MCP Server
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.90MIT- FlicenseCqualityDmaintenanceProvides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.1-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides AI assistants with direct access to local document collections through full-text search, supporting multiple formats and hierarchical collections.MIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that exposes Retrieval-Augmented Generation capabilities and a weather tool, allowing clients to interact with document knowledge bases and retrieve weather information.-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides persistent memory and conversation continuity for Claude Desktop and Claude Code, allowing users to save and restore project context when threads hit token limits.MIT
- AlicenseNot gradedqualityDmaintenanceA server that implements the Model Context Protocol, providing a standardized way to connect AI models to different data sources and tools.6 npm11MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'query' has a clearly distinct and singular purpose, making disambiguation perfect.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'query' follows a simple, clear pattern with no deviations to assess.
A single tool for an 'enterprise search' server feels thin and under-scoped. While it might handle basic queries, it lacks complementary tools for managing or refining searches, making the count inappropriate for the apparent domain.
The tool surface is severely incomplete for enterprise search. It only provides a query function, missing essential operations like indexing, filtering, updating knowledge bases, or handling search results, which are critical for such a domain.