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Contexta

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "cccontexta-contexta-mcp": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "cccontexta-contexta-mcp": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "cccontexta-contexta-mcp": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The Model Context Protocol server is a search tool that enables persistent memory and knowledge graph capabilities for AI assistants, allowing for keyword, vector, and graph search functionality. It can be used remotely and is designed to provide a robust search mechanism for AI coding assistants. Developers would reach for this tool when they need to implement advanced search capabilities in their AI-powered applications, particularly those that require a combination of keyword, vector, and graph search.

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The Contexta server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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