How do I install the contextful mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

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Contextful MCP Server

CLI-first context engine for agentic AI: local code search, evidence packs, MCP runtime context, and memory for Claude Code, Codex, Cursor, Windsurf

Local serverstdio

What is the Contextful MCP Server?

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.

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Contextful MCP Server

{
  "mcpServers": {
    "contextful": {
      "command": "npx",
      "args": [
        "-y",
        "@inferensys/contextful",
        "server"
      ]
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Frequently asked questions

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. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.