Topic
MCP for teams
Using the Model Context Protocol to give a whole team's AI tools one shared context layer, local or remote.
5 posts
Best MCP servers for engineering teams (2026)
The best MCP servers for engineering teams in 2026: GitHub, issue trackers, databases, observability, and a shared context server, with what each is good for.
How to set up a shared MCP context server for your team
Set up a shared MCP context server your whole team's AI tools read: curate the context, choose local or remote, connect tools, scope access, and let it update.
What is a remote MCP server (and when teams need one)?
A remote MCP server is a hosted endpoint any AI tool can connect to over the network. Here is how it differs from a local server and when a team should use it.
How to give Claude Code your whole project context
Give Claude Code your whole project context, not just one repo's CLAUDE.md. Here is how a shared source keeps it current across repos, tools, and teammates.
MCP for teams: one context layer across your AI tools
MCP for teams turns scattered docs and decisions into one context layer every AI tool reads, so Claude Code, Cursor, and ChatGPT share the same source.
Get your team's AI tools on the same page
BaseThread is the shared context-graph that Claude Code, Cursor, and every AI tool your team uses can read, so no one re-explains the same context twice.
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