Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Memory you own: capture on WhatsApp, filed into your Markdown vault, recalled with citations.
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。
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://cloud.zenod.dev/mcp在终端中运行这条命令
claude mcp add --transport http memory https://cloud.zenod.dev/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"memory": {
"url": "https://cloud.zenod.dev/mcp"
}
}
}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": {
"memory": {
"type": "http",
"url": "https://cloud.zenod.dev/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://cloud.zenod.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
服务器要求先登录,才会列出它的工具。
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8日
注册名称已通过域名 zenod.dev 验证(注册中心会核实域名所有权)
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
在 496 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
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 3 项适用的基础检查中通过了 3 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.1.0)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
Zenod is a memory agent you talk to over plain MCP (streamable HTTP). You give it a GitHub repo to use as your memory vault; it stores what you tell it as immutable evidence + filed meaning with citations, and lets you search and read it back. Every write lands as a real git commit — Zenod hands you the commit SHA and GitHub URL as the receipt.
One box, one endpoint, one repo. Zenod is the only thing that holds your repo token. You never write the repo from anywhere else — attempts from another path fail loudly.
You need: Docker, a GitHub repo you own (empty is fine) + a token that can push to it, and an LLM key (Anthropic or OpenAI). No suite, no console — just this unit.
From this folder (units/zenod/). Until the repo split fires, the image is the repo root image with AGENT=zenod:
# from the repo root
docker build -t zenod .
docker run --rm -p 8080:8080 \ -v "$PWD/zenod-data:/data" \ -e AGENT=zenod \ -e ZENOD_DATA_DIR=/data \ -e VAULT_REPO="your-org/your-memory-repo" \ -e GITHUB_TOKEN="ghp_xxx_a_token_that_can_push_to_that_repo" \ -e ANTHROPIC_API_KEY="sk-ant-..." \ -e ZENOD_API_TOKEN="pick-any-long-secret-string" \ zenod
That is Option B: configure by hand — the three env vars above are all Zenod needs. (In the full suite the keyring/Console mints the MCP token and pushes VAULT_REPO + GITHUB_TOKEN + LLM key to /api/provision instead; a stranger self-hosting doesn't need that path.)
Zenod is now serving MCP at `http://localhost:8080/mcp`. Check it is up:
curl -s http://localhost:8080/api/health
The endpoint is vanilla MCP over streamable HTTP. Any MCP client works — e.g. Claude Desktop / claude with a custom connector, or the reference @modelcontextprotocol/inspector:
npx @modelcontextprotocol/inspector
Your token. /mcp always requires a bearer token — there is no tokenless mode. You control it two ways:
ZENOD_API_TOKEN in the run command above to any long secret string. That IS your bearer token — use it directly.ZENOD_API_TOKEN is unset, Zenod generates a token on first boot and prints it once to the container logs (docker logs | grep 'MCP bearer'). Copy it from there.Send it as Authorization: Bearer on every MCP call. (Treat it like a password. Note: GET /api/token is itself auth-gated — you need the token to call it — so use one of the two paths above to learn it in the first place.)
Run tools/list. You should see store_memory, ingest_memory, search_memory, get_memory, ask_brain, and get_task_result (full surface in SEAM-SURFACE.md).
Codex Desktop's MCP server settings have two separate concepts:
https:// /mcp.ZENOD_MCP_TOKEN.Do not paste the token itself into the Bearer token env var field. Codex reads that field as the name of an environment variable, then reads the actual bearer token from the Codex process environment.
For Codex CLI, this works when codex is launched from the same shell:
export ZENOD_MCP_TOKEN="<token>"
codex mcp add zenod --url https:// /mcp --bearer-token-env-var ZENOD_MCP_TOKEN
A normal shell export is temporary: it lasts only for that shell session and child processes. It does not survive a machine restart, and it does not affect an already running macOS GUI app launched from Finder, Dock, or Spotlight. For Codex Desktop, set the variable in the environment before starting Codex Desktop, or use a literal Authorization: Bearer header in the MCP server settings.
Store (mutating, async — returns a jobId, then poll):
// tools/call store_memory
{ "content": "My home insurance renews on March 3rd every year." } // -> returns { jobId: "..." } (status: queued)
// tools/call get_task_result { "jobId": "..." } // -> when done: // { status: "done", result: { // evidenceRef: "Log/2026-07-05.md#^e-7f3a2c", // pagesTouched: ["Areas/Insurance.md"], // commitSha: "a1b2c3d...", // <- your receipt: a real git commit // githubUrls: ["https://github.com/your-org/your-memory-repo/blob/main/Areas/Insurance.md"] // } }
Open the githubUrls link — the memory is a committed file in your repo.
Ingest media/artifacts (mutating, async — returns a jobId, then poll):
// tools/call ingest_memory
{ "mediaType": "screenshot", "artifactUrl": "https://example.test/screen.png", "filename": "screen.png", "sourceHint": "Claude upload", "contentHint": "remember the renewal date visible in this screenshot", "hints": ["insurance"] } // -> returns { jobId: "...", kind: "media_ingest", status: "queued" }
// tools/call get_task_result { "jobId": "..." } // -> when done, result includes: // { // status: "done", // rawArtifact: { handle, archiveUrl, sha256 }, // extraction: { handle, ocrHandle, transcriptHandle, archiveUrl, provider }, // digest: { evidenceRef, pagesTouched, commitSha, githubUrls } // } // Opaque handles that Zenod cannot resolve still return a loud // media_ingest_processor_unavailable receipt instead of fake success.
Search (read, fast, no LLM):
// tools/call search_memory
{ "query": "insurance renewal" } // -> hits: [{ path, snippet, score, githubUrl }], or the explicit text // "No memories match 'insurance renewal'." when there are none.
Get (read one note by path from a search hit):
// tools/call get_memory
{ "path": "Areas/Insurance.md" } // -> { path, frontmatter, body, githubUrl }
For fuzzy or cross-note questions ("what do I know about X?"), call `ask_brain` instead of search_memory — it runs a read-only research loop and returns a synthesized answer with cited sources.
tools/list + tools/call is all a caller needs to know. See ../../docs/SEAM-SPEC.md.store_memory gives you a commitSha + GitHub URL (via get_task_result). ingest_memory gives an async media receipt with raw artifact, extraction/transcript archive, digest, commit, and archive fields. A read returns data or an explicit "none". No silent acks; failures error loudly with { code, message }./api/provision) and read in exactly one place internally. Nothing else in the suite can write your repo. Any write attempt down another path fails loudly.| File | What it is |
|---|---|
README.md | this quickstart (an acceptance item) |
SEAM-SURFACE.md | the MCP tool surface + receipt shapes |
EXTRACTION-MAP.md | file-level extraction map (blueprint, RD-4 staged) |
Dockerfile | root-image-reuse note (staged; build from repo-root Dockerfile) |
docker-compose.zenod.yml | deploy stub |
Status honesty: this folder is the *seam of record* for Zenod-as-a-unit. The
physical extraction from the fused Console is STAGED behind the RD-4 split trigger
and has not fired — see
EXTRACTION-MAP.md. The running behavior above is real
today (image with
AGENT=zenod); the standalone folder is blueprint.