Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
CONTEXTFORGE_API_KEY, CONTEXTFORGE_API_URL标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"contextforge": {
"command": "npx",
"args": [
"-y",
"contextforge-mcp"
],
"env": {
"CONTEXTFORGE_API_KEY": "your-value",
"CONTEXTFORGE_API_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add contextforge --env CONTEXTFORGE_API_KEY=your-value --env CONTEXTFORGE_API_URL=your-value -- npx -y contextforge-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"contextforge": {
"command": "npx",
"args": [
"-y",
"contextforge-mcp"
],
"env": {
"CONTEXTFORGE_API_KEY": "your-value",
"CONTEXTFORGE_API_URL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"contextforge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"contextforge-mcp"
],
"env": {
"CONTEXTFORGE_API_KEY": "your-value",
"CONTEXTFORGE_API_URL": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CONTEXTFORGE_API_URL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 alfredoizdev 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:CONTEXTFORGE_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.13.3)于前天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Give Claude Code, Cursor, and GitHub Copilot persistent memory across sessions via the Model Context Protocol (MCP). Stop re-explaining your project every time.
ContextForge MCP is an open-source MCP server that connects your AI coding assistants to long-term, searchable memory. Decisions, architecture notes, debugging context, and project knowledge stay available across every session — across every tool that supports MCP.
[!NOTE]
Works automatically, no config needed (v0.5.1+). On connect, the server sends startup instructions to your AI client. Clients that honor them (Claude Desktop, Claude Code) load your project memory at the start of every session and save new decisions proactively — without you editing any settings. Running
init(Step 4) is now a reinforcement, not a requirement, and still helps on clients that don't yet honor server instructions (e.g. Cursor).
No install step needed — the setup below runs the server via npx -y contextforge-mcp, which fetches it on demand and keeps it up to date.
Prefer a global install for slightly faster cold starts?
npm install -g contextforge-mcpis optional; if you do it, you can drop thenpx -yprefix from the commands below.
cf_)Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }
Restart Claude Desktop.
claude mcp add contextforge -s user \
-e CONTEXTFORGE_API_KEY=your-api-key-here \ -- npx -y contextforge-mcp
Restart Claude Code and run /mcp to verify it's connected.
Add to your Cursor MCP settings:
{
"mcpServers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }
Add to your Copilot MCP config:
{
"servers": { "contextforge": { "command": "npx", "args": ["-y", "contextforge-mcp"], "env": { "CONTEXTFORGE_API_KEY": "your-api-key-here" } } } }
With v0.5.1+ the server auto-loads memory on supporting clients (see the note at the top), so this step is optional but recommended: it reinforces the behavior, covers clients that don't honor server instructions, and fully overrides the built-in file-based memory.
Set up your project so your AI editor always prefers ContextForge memory:
npx contextforge-mcp init
By default, init auto-detects which editor your project uses and writes three rule sections and two hooks:
SessionStart hook with matcher compact in .claude/settings.json. When Claude Code compacts a long conversation, the hook runs npx -y contextforge-mcp recall and re-injects the session objective, memories relevant to what you are working on, your project's 10 most recent memories and pending tasks, so decisions saved in ContextForge survive the summary.UserPromptSubmit hook that runs the generated script .claude/hooks/contextforge-objective.cjs with plain node (~50 ms). It records your prompts to ~/.contextforge-mcp/sessions/ .jsonl on your machine, so recall can put the session's objective back after a compaction. The log is pruned after 14 days and never uploaded; see the privacy note below for what recall sends.Files written:
CLAUDE.md for Claude Code (signals: existing CLAUDE.md or .claude/ directory).cursorrules for Cursor (signals: existing .cursorrules or .cursor/ directory).claude/settings.json for Claude Code — merged, never overwritten; only the two ContextForge hook groups are added.claude/hooks/contextforge-objective.cjs for Claude Code — the generated objective hook script (safe to commit; refreshed by init when a new version ships; Claude Code's own system turns — prompts that start with an XML-like tag and contain a closing tag — are not logged)If no editor is detected, both files are generated.
On clients that honor server instructions (Claude Desktop, Claude Code), ContextForge is used automatically even without this step. On other clients — or to guarantee the built-in file-based auto-memory never wins — run init: it writes explicit rules that always route memory to ContextForge.
--editor| Flag | Behavior |
|---|---|
--editor=claude | Generate only CLAUDE.md |
--editor=cursor | Generate only .cursorrules |
--editor=all | Generate both, skip detection |
Re-running init is idempotent per section — sections you already have are left untouched; missing ones are appended. Upgrading from an older version? Just re-run npx contextforge-mcp init: it adds the new Startup Context section without touching the rest of your file.
npx contextforge-mcp --version # also: -v, version
Prints the installed version (e.g. contextforge-mcp 0.5.2).
Long sessions get compacted: Claude Code summarizes the conversation to free space, and the summary keeps the gist but drops details — usually the decisions, and often the task itself. init installs two hooks that fix both:
UserPromptSubmit) — records each prompt locally so the session's first real request is never lost to the summary.SessionStart, matcher compact) — fires right after every compaction and prints back, in this order: the session objective and the latest request before the cut; up to 5 memories relevant to the current work (semantic search over the objective, git branch, recent commit subjects and changed files, whatever their age); the project's 10 most recent memories; up to 5 pending tasks; and a reminder to call memory_query for anything older. The whole block stays around 4 KB and is injected once, never pinned, so it does not move the compaction trigger.The relevance search is one metered query per compaction. It only runs when there is a session objective or you are on a non-default branch (git-only context on main is noise), it runs in parallel with the other fetches under the same 6-second stage deadline, so a slow search can never drop the rest of the block, and CONTEXTFORGE_RECALL_RELEVANCE=0 in the environment turns it off entirely.
The hooks run as plain shell commands, so recall reads your API key from CONTEXTFORGE_API_KEY if set, otherwise from the contextforge server entry in ~/.claude.json (where claude mcp add stores it), otherwise from a project .mcp.json. It needs a linked project (.contextforge in the repo root). If anything is missing it prints nothing and never blocks the session. Note that a CONTEXTFORGE_API_KEY exported in your shell profile wins over ~/.claude.json: if it holds an old key, recall silently prints nothing.
Try it by hand from your project directory:
npx contextforge-mcp recall # prints the block for the newest session in this directory
npx contextforge-mcp recall --stats # local numbers: recalls, objective coverage, follow-up queries
Privacy: the prompt log and the recall stats live under ~/.contextforge-mcp/ on your machine and are never uploaded. What leaves the machine: after a compaction, recall sends the session objective (at most 600 characters, together with the git branch, recent commit subjects and changed file names) to ContextForge as the search query, the same way memory_query sends a query; it is not stored. Note that .claude/settings.json is usually committed, so teammates who pull the repo get the prompt hook too; they can remove the UserPromptSubmit group to opt out.
Nothing to reconfigure. Update to the latest and restart your AI client:
npm update -g contextforge-mcp # only if you installed globally; npx users get it on next launch
You do not need to re-run init for the auto-load behavior. To get the post-compaction recall hook and the session objective hook, run npx contextforge-mcp init once in each project; it only adds what is missing. Since 0.13.2 the server reminds you once per project when the recall hook is installed but the objective hook is missing or outdated.
ContextForge defines 69 tools across Knowledge Management, GitHub Integration, Issue Tracking, and Collaboration. No capability was ever removed — every tool below is fully callable — but since v0.11.0 your AI client sees only a small subset by default — 15 since v0.13.3 (11 in 0.11.0–0.13.2) (CONTEXTFORGE_TOOLS=lean, the default):
memory_query, memory_ingest, memory_check_freshness, memory_confirm, memory_correct, memory_forget, tasks_list, tasks_what_next, session_list, memory_help — plus the four that CLAUDE.md / .cursorrules files generated before 0.11.0 call by name, kept visible so those files keep working without re-running init: session_update, memory_current_project, memory_link_project, memory_list_items.Set CONTEXTFORGE_TOOLS=full to expose all 69 tools directly to your client instead, matching the behavior of versions before 0.11.0. See Environment Variables.
Why lean by default: 69 tool schemas cost ~15,000 tokens of context on every session, push past Cursor's 40-tool cap, and contribute to the accuracy degradation several clients show past ~50 tools. The lean set cuts that to ~3,500 tokens (~77% less) while keeping every tool one call away via cf_tools.
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只显示了开头部分;其余内容请在仓库中阅读