Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Living technical memory for AI agents: recall approved project context, record what was learned.
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。
SOLUCORTEX_API_KEY, SOLUCORTEX_PROJECT_ID, Authorization, X-Solucortex-Project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。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"solucortex": {
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp --header 'Authorization: your-value' --header 'X-Solucortex-Project: your-value'claude mcp add solucortex --env SOLUCORTEX_API_KEY=your-value --env SOLUCORTEX_PROJECT_ID=your-value -- uvx solucortex-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": {
"solucortex": {
"url": "https://mcp.solucortex.ai/mcp",
"headers": {
"Authorization": "your-value",
"X-Solucortex-Project": "your-value"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"solucortex": {
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "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": {
"solucortex": {
"type": "http",
"url": "https://mcp.solucortex.ai/mcp",
"headers": {
"Authorization": "your-value",
"X-Solucortex-Project": "your-value"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"solucortex": {
"type": "stdio",
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "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。
SOLUCORTEX_PROJECT_ID envAuthorization 机密 必填 HTTP headerX-Solucortex-Project 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7日
注册名称已通过 GitHub 账户 soluai-spa 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
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:SOLUCORTEX_API_KEY, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.1.2)于2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。
Official Model Context Protocol server for [SoluCortex](https://solucortex.ai) — living technical memory for AI agents.
Connect any MCP-compatible agent (Claude Code, Claude Desktop, Cursor, Codex, Cline, …) to your SoluCortex project so it can recall the decisions, conventions, risks and architecture that matter before it works, and remember what it learns when it's done.
Website: solucortex.ai · Setup guide: solucortex.ai/docs/mcp · Tools reference: solucortex.ai/docs/mcp-tools · PyPI: solucortex-mcp · MCP Registry: io.github.soluai-spa/solucortex-mcp
| Tool | What it does | When to use |
|---|---|---|
solucortex_recall | Builds living context for a task (ranked by semantic similarity + importance) | At the start of a task, before touching code |
solucortex_search | Ad-hoc semantic search over the project's memories | Specific questions mid-task |
solucortex_remember | Records a memory (stored approved + traced as an authorized agent) | At close, or on a relevant technical decision |
solucortex_update_memory | Corrects an existing memory — the edit returns it to pending for human re-approval in the panel | When a memory is right in spirit but wrong in detail |
solucortex_flag_memory | Flags a memory as outdated/incorrect with a reason; a human resolves it in the panel | When a memory should be reviewed, archived or deleted |
solucortex_list_memories | Lists memories without semantic search | Quick inspection / audit |
Governance by design: agents propose, humans govern. Agents can never change a
memory's
status, rewrite its metadata, or delete it — edits go back to pending and
deletions only happen from the SoluCortex panel.
scx_) — get it from your SoluCortex dashboard.uv (recommended), Python ≥ 3.10, or Docker.The server is configured entirely through environment variables:
| Variable | Required | Description |
|---|---|---|
SOLUCORTEX_API_KEY | ✅ | Project API key (scx_…) |
SOLUCORTEX_PROJECT_ID | optional | Default project UUID; if omitted, the backend infers it from the API key |
SOLUCORTEX_URL | optional | API base URL. Default https://solucortex.ai |
Run with MCP_TRANSPORT=http (or --http) to serve Streamable HTTP on $PORT (default 8080) — the mode behind https://mcp.solucortex.ai. Credentials travel with each request and the environment is ignored:
| Header | Required | Description |
|---|---|---|
Authorization: Bearer scx_… | ✅ | The caller's project API key (401 without it) |
X-Solucortex-Project | optional | Default project UUID; if omitted, the backend infers it from the API key |
GET /health (and /healthz locally; Cloud Run's frontend intercepts /healthz) responds without auth. The MCP endpoint is /mcp, runs stateless, and shares nothing between requests/tenants.
Never commit your API key. Keep it in your MCP client config's env block or a local .env (see .env.example).
The hosted server at https://mcp.solucortex.ai/mcp speaks Streamable HTTP; your key travels with each request:
claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp \
--header "Authorization: Bearer scx_xxx" \ --header "X-Solucortex-Project: your-project-uuid"
Or in any client with remote MCP support:
{
"mcpServers": { "solucortex": { "type": "http", "url": "https://mcp.solucortex.ai/mcp", "headers": { "Authorization": "Bearer scx_xxx", "X-Solucortex-Project": "your-project-uuid" } } } }
claude mcp add solucortex \
-e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ -- uvx solucortex-mcp
Add to the client's MCP config (claude_desktop_config.json, Cursor mcp.json, etc.):
{
"mcpServers": { "solucortex": { "command": "uvx", "args": ["solucortex-mcp"], "env": { "SOLUCORTEX_API_KEY": "scx_xxx", "SOLUCORTEX_PROJECT_ID": "your-project-uuid" } } } }
git clone https://github.com/soluai-spa/solucortex-mcp
cd solucortex-mcp cp .env.example .env # fill in your key ./run.sh # loads .env, then runs via uv
Prebuilt image on GHCR:
docker run --rm -i \
-e SOLUCORTEX_API_KEY=scx_xxx \ ghcr.io/soluai-spa/solucortex-mcp:latest
Or build it yourself:
docker build -t solucortex-mcp .
docker run --rm -i \ -e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ solucortex-mcp
The server speaks MCP over stdio, so clients launch it as a subprocess (-i keeps stdin open).
Once connected, give your agent the methodology too: copy templates/AGENTS.md into the root of your repo (it works as AGENTS.md or CLAUDE.md). The MCP handshake already carries these instructions — the file lets you version them alongside your code, extend them with your own conventions, and optionally enable the commented Claude Code hook recipe for guaranteed recall.
uv sync
uv run solucortex-mcp # run (stdio) MCP_TRANSPORT=http uv run solucortex-mcp # run (HTTP on :8080) uv run pytest # test suite npx @modelcontextprotocol/inspector uv run solucortex-mcp # interactive test
type vocabulary: the canonical set is architecture, decision, risk, convention, bug_history, tech_debt, sensitive_module, learning, external_integration. Some backends accept an older set (technical_decision, historical_bug, current_state, task_closure). The server passes type through and surfaces HTTP 422 so you can retry with the other set.MIT — see LICENSE.