Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@basethread what's the context for the Q3 planning project?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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/mcpOr 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.
Related MCP server: context-mcp
server.json , the Official MCP Registry manifest (ai.basethread/basethread).
llms-install.md , agent-readable install + configuration guide.
Security & privacy , the canonical security page (access model, OAuth, tenancy). Mirrored in SECURITY.md.
PUBLISHING.md , how the registry listing is published and republished.
Product: https://basethread.ai
Live demo (no signup): https://app.basethread.ai/demo
MCP endpoint: https://mcp.basethread.ai/mcp
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/navbuildz/basethread-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server