Contextful MCP Server

Connect Contextful to Claude, Cursor or any other MCP client and it stops being a tab you switch to. CLI-first context engine for agentic AI: local code search, evidence packs, MCP runtime context, and memory for Claude Code, Codex, Cursor, Windsurf, and Copilot. The contextful mcp server is what makes that connection.

What the server does

⚠️ This is in early alpha. The API, features, and integrations are not stable. Expect breaking changes. Feedback & contributions are very welcome!

• 100x more efficient token usage: — stop paying tokens to re-read the same files
• Fewer tool calls: — one context pack can replace dozens of grep, glob, and read-file calls
• No lost context between sessions: — agents can store session learnings in an evidence-backed memory ledger
• Shareable project knowledge: — lessons and context packs survive context compaction and future sessions

Installation

Installation goes through your MCP client rather than a global install: point it at @inferensys/contextful on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by inferensys; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Contextful's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.