Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Persistent memory for AI agents — log and recall conversation context over MCP.
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。
Authorization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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http synap https://synap-mcp.maximem.ai/mcp --header 'Authorization: your-value'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": {
"synap": {
"url": "https://synap-mcp.maximem.ai/mcp",
"headers": {
"Authorization": "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": {
"synap": {
"type": "http",
"url": "https://synap-mcp.maximem.ai/mcp",
"headers": {
"Authorization": "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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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
注册名称已通过域名 maximem.ai 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
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 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:Authorization
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4个月前进入注册中心。
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。
Hosted remote MCP server (Streamable HTTP) that re-fronts the existing Synap public REST operations as MCP tools, so no-code platforms (Gumloop, n8n) can give their agents persistent memory with nothing but a pasted MCP URL and a Bearer token.
It is a stateless adapter — no new backend, storage, or pipeline. Each tool call maps to one existing REST operation, and the incoming Bearer synap_ token is forwarded verbatim to synap-cloud, which owns auth.
https://synap-mcp.maximem.ai/mcphttps://synap-mcp.maximem.ai/health| Tool | REST operation | Notes | ||
|---|---|---|---|---|
log_exchange | POST /api/v1/memories/create (mode=long-range) | Forward every turn; extraction decides what persists. user_id scopes per end-user, customer_id is B2B only (see Scoping); optional conversation_id. | ||
recall_context | `POST /v1/context/{client\ | user\ | customer}/fetch (mode=fast`) | Hot path; no IDs ⇒ client scope. customer scope is B2B only. |
list_recent_memories | broad /v1/context/.../fetch (no query) | Debug / "test my memory". Same scoping rules. | ||
check_memory_status | GET /api/v1/memories/status/{id} | Takes no scope ids: the ingestion_id already identifies the write. |
The REST API enforces this. It is not advice, and it has been live on production since 2026-08-26 07:07 UTC.
Instance mode (user_context_isolation) | What to send | What happens otherwise |
|---|---|---|
equals_customer (B2C) | user_id and nothing else. The user id is the whole identity. | Any customer_id is rejected with HTTP 400. /v1/context/customer/fetch is not available at all. |
strict (B2B) | customer_id is required, alongside user_id. | A user_id on its own is an error. Unchanged by this contract. |
GET /api/v1/auth/whoami reports the mode as user_context_isolation. This server reads it once per token and refuses a customer_id locally on a B2C instance, so a model gets a sentence telling it what to send instead of a status code it cannot act on. If the mode cannot be read, nothing is refused and the API stays authoritative.
Pass no IDs at all ⇒ client scope (shared per credential), which is valid in both modes. Note: client-scope writes are not surfaced on the dashboard Memories page (relational), so per-user scoping is recommended when dashboard visibility matters. Fill user_id from an n8n expression / Gumloop input, and pass the same value on log_exchange and recall_context so writes and reads address the same person.
Host header. The server disables the MCP transport's DNS-rebinding check (it sits behind a proxy + Bearer auth), so any reverse proxy can forward the real Host — no Host-rewrite hack needed.
pip install -e ".[dev]"
SYNAP_API_URL=http://localhost:8000 uvicorn synap_mcp_server.server:app --port 8090 curl http://localhost:8090/health # {"status":"ok",...}
An MCP server is not an agent. It exposes tools to somebody else's agent and is handed one stateless HTTP call at a time, so most of what an agent does is invisible here: the caller's tool calls, its tool results and its reasoning never reach this process, and nothing tells a stateless server that a conversation has ended. Those are not reported, because there is nothing to report.
The turn does exist. log_exchange is handed the user's message and the assistant's reply as arguments. Set MCP_STREAM_EVENTS=true and each logged exchange is also reported as a conversation turn on POST /v1/events/batch, the HTTP door onto the same listening path the gRPC stream feeds, so the anticipation agent sees the turn and not only the memory extracted from it. This server does not use the SDK's gRPC stream, as the other integrations do: it holds no SDK, keeps no state between requests, and every request can carry a different tenant's key, so a stream per key would be an unbounded pool of connections that nothing closes. Moving it onto the SDK would be a rewrite of its transport for a caller that has no use for what the stream brings back.
Nor does it replace anything of Synap's compaction: the caller's agent keeps its own history and no tool here returns a conversation.
It is off by default, on purpose. Turning it on adds a second backend call per log_exchange, writes the turn to conversation history in addition to the long-range document, and runs the anticipation agent, which bills model calls.
It is not on by default for a second reason. Synap extracts from a conversation when it is compacted, which starts once ten messages have been recorded. Recording every exchange as turns *instead of* the long-range document would hold the memory back until then (the next recall_context finds nothing, and there is no ingestion_id to check); recording them *as well* extracts each exchange twice.
What does not change either way: log_exchange still queues the long-range document and still returns the ingestion_id that check_memory_status and wait_for_processing are built on. A turn report is best effort and can never alter what a tool answers. A turn with no user_id or no conversation_id is not reported at all, because the events route requires both.
pip install -e ".[dev]"
pytest -q
| Var | Default | Meaning |
|---|---|---|
SYNAP_API_URL | http://synap-cloud:8000 | Backing REST API base URL (internal docker hostname in prod). |
MCP_PORT | 8090 | Listen port. |
MCP_RECALL_TIMEOUT_S | 10 | Recall (read) timeout. |
MCP_INGEST_TIMEOUT_S | 8 | Log/ingest (write) timeout. |
MCP_DEFAULT_MAX_RESULTS | 10 | Default recall result count. |
MCP_STREAM_EVENTS | false | Also report a logged exchange as a conversation turn for anticipation. See above before enabling. |
MCP_EVENTS_TIMEOUT_S | 4 | Turn-report timeout. Best effort; a miss never changes a tool's answer. |
LOG_LEVEL | INFO | Log level. |
ENVIRONMENT | production | Reported in /health. |
No Synap API key is configured on the server — the end user's key arrives per-request as a Bearer token.
See the Synap MCP documentation for platform setup guides (Gumloop, n8n) and deployment details.