Server data from the Official MCP Registry
One shared context your team's AI tools read & write over MCP. No re-explaining. Free.
One shared context your team's AI tools read & write over MCP. No re-explaining. Free.
Remote endpoints: streamable-http: https://mcp.basethread.ai/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-basethread-basethread": {
"url": "https://mcp.basethread.ai/mcp"
}
}
}From the project's GitHub README.
The public home for BaseThread's Model Context Protocol server , its registry manifest, install guide, and security page.
BaseThread is one shared context your whole team's AI tools read and write over MCP. Claude Code, Cursor, ChatGPT, Windsurf, and Copilot each read the relevant slice of a shared, company-structured context graph at the start of a session and write activity, decisions, and tasks back as work happens , so no one re-explains the project and answers stop contradicting. Free to start, no card.
The server is hosted (remote, streamable-HTTP + OAuth) , no local install needed:
claude mcp add --transport http basethread https://mcp.basethread.ai/mcp
Or add https://mcp.basethread.ai/mcp in any MCP client that supports remote servers. Full instructions
for every client, plus the tool list: llms-install.md.
ai.basethread/basethread).Be the first to review this server!
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