RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-nitishgourishetty-contextual-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that provides RAG (Retrieval-Augmented Generation) capabilities using Contextual AI. This server integrates with a variety of MCP clients. It provides flexibility in you can decide what functionality to offer in the server. In this readme, we will show integration with the both Cursor IDE and Claude Desktop.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
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