Contextful MCP Server

@Inferensys

Basic information

About Contextful MCP Server

Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.

Contextful MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "contextful": {
      "command": "npx",
      "args": [
        "@inferensys/contextful",
        "init",
        "--workspace",
        "."
      ]
    }
  }
}

Contextful MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Contextful?

Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.

How to use Contextful?

The README includes setup instructions such as npx @inferensys/contextful init --workspace ..

Key features of Contextful

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
SQLite as the default local store

Use cases of Contextful

Connect an MCP-compatible client to this repository's service.
Review the README-backed setup before enabling it in production.

Frequently asked questions

Where is the source code for Contextful?

The source code is linked from the repository URL on this page.

Does Contextful include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

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