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Contextful MCP Server

@Inferensys

代码仓库主页

基本信息

分类

记忆与知识

许可证

MIT

作者

Inferensys

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Contextful MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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.

常见问题

1

Where is the source code for Contextful?

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

2

Does Contextful include a standard MCP config?

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

评论

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