Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
One MCP endpoint for Claude Code, Codex, Gemini, Grok and Mistral CLIs, with durable async jobs.
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"llm-cli-gateway": {
"command": "npx",
"args": [
"-y",
"llm-cli-gateway"
]
}
}
}在终端中运行这条命令
claude mcp add llm-cli-gateway -- npx -y llm-cli-gateway粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"llm-cli-gateway": {
"command": "npx",
"args": [
"-y",
"llm-cli-gateway"
]
}
}
}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": {
"llm-cli-gateway": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"llm-cli-gateway"
]
}
}
}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。
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7日
注册名称已通过 GitHub 账户 verivus-oss 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。
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(1.17.1)于5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。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。
_"Without consultation, plans are frustrated, but with many counselors they succeed."_
— Proverbs 15:22 (LSB)
Secure local control plane for AI coding agents.
llm-cli-gateway lets supported MCP clients operate Claude Code, Codex, Gemini/Antigravity, Grok Build, Mistral Vibe, Cognition Devin, Cursor Agent, and configured HTTP API providers through one user-owned gateway while preserving native CLI sessions, local credentials, durable async jobs, validation receipts, and review workflows.
Why developers try it: use the client you are already in to delegate work to local coding agents, scope remote execution to registered workspaces, gate risky actions, survive disconnects, and collect auditable review evidence without turning those agents into a generic chat proxy.
Current signals: CI and security workflows pass on main, OpenSSF Scorecard is published, OpenSSF Best Practices is passing, releases use Sigstore signing, and the package is MIT licensed.
npm install -g llm-cli-gateway
Or use directly with npx from an MCP client:
{
"mcpServers": { "llm-gateway": { "command": "npx", "args": ["-y", "llm-cli-gateway"] } } }
llm-cli-gateway is a single-user MCP control plane for operating AI coding agents from supported local or remote clients. It is more than a thin CLI wrapper:
promptParts, including explicit Claude cache_control when opted in.session_clear_all, or file-backed TTL eviction, both session managers retain a failed cleanup for retry by the host that owns the worktree. Deletion processed from another host removes no worktree and leaves that record intact. The database-side cleanup_expired_sessions function stages the same record instead of deleting a worktree-bearing session; it invokes no gateway observer and so attempts no removal itself. Grok, Devin, and Mistral require an explicit provider-native sessionId for a gateway worktree; fresh, createNewSession, and resumeLatest-only worktree requests fail closed because they cannot durably reselect it. Materialization suppresses repository, system, and global Git hooks, configured clean, smudge, and process checkout filters, sparse checkout, and lazy object fetching. Filter-dependent content such as Git LFS remains in its repository representation instead of executing host commands.doctor --json, setup UI artifacts, provider setup snippets, Docker fallback, and checked release bundles.workspace; every HTTP/tunnel request must use a registered alias, session workspace, or [workspaces].default before provider execution. Local unrestricted filesystem access is the stdio transport.The repo ships agent-ready workflow skills under .agents/skills for async orchestration, session continuity, multi-LLM review, implement-review-fix loops, retrospective evidence walks, secure approval-gated dispatch, and Personal Agent Config Kit operations. Nine caller-facing skills are bundled in the published npm package: async-job-orchestration, multi-llm-review, session-workflow, secure-orchestration, implement-review-fix, retrospective-walk, public-demo-session, least-cost-routing, and personal-agent-config-kit. Machine-readable DAG-TOML plans live under docs/plans and setup/install-plan.dag.toml for workflows that need deterministic sequencing and verification gates.
Skill packs can be updated outside the core npm release by placing skill directories in local, operator-controlled paths. The gateway loads bundled skills first, then [skills].paths, then LLM_GATEWAY_SKILLS_PATH, then ~/.llm-cli-gateway/skills when it exists; later roots override earlier skills by name. Each skill is a directory containing SKILL.md. A root may also carry skill-pack.json to pin expected SKILL.md hashes:
[skills]
paths = ["/opt/llm-cli-gateway/skills"]
export LLM_GATEWAY_SKILLS_PATH="/opt/team-skill-pack:/opt/incident-skill-pack"
{
"name": "team-pack", "version": "1.0.0", "skills": [ { "name": "incident-retrospective", "sha256": " " } ] }
The loader is intentionally local-only: it never fetches remote Markdown at startup. To update a pack, install or replace files through your package manager or deployment system, then restart the gateway so the advertised skills://... resources refresh.
The next documentation focus is provider-specific skill and DAG-TOML pairs for each outbound CLI and API-provider family: Claude, Codex, Gemini/Antigravity, Grok, Mistral Vibe, Devin, Cursor Agent, OpenAI-compatible endpoints, Anthropic Messages, and xAI Responses. The implementation plan is tracked in docs/plans/provider-workflow-assets.dag.toml, with each provider asset expected to cover install/login checks or token-env checks, session behavior, approval modes, cache/telemetry surfaces, failure modes, and a smoke-test gate.
npm-shrinkwrap.json so registry installs resolve the audited release tree. Release gates regenerate it from package-lock.json, compare for parity, and run a registry-fidelity consumer install before publishing.socket.yml and under "Security Considerations" below. shellAccess and shrinkwrap are reviewed package capabilities/configuration for this CLI appliance, not hidden install behaviour.The personal-appliance contract keeps that surface intentionally narrow: one trusted user runs the gateway on a machine or volume they own, connects one MCP endpoint, and lets supported clients operate local coding agents through workspace-scoped, approval-gated, auditable requests.
The product contract is documented in docs/personal-mcp/PRODUCT_CONTRACT.md. It defines the single-user scope, security posture, target support matrix, and provider-support verification gates. Public setup guides must not claim ChatGPT, Claude web, Claude Desktop, Codex, Gemini CLI, Gemini web, or Grok inbound support until the corresponding provider/client path has been verified.
This project does not provide hosted multi-tenant credential custody. Provider credentials stay on the user's machine or user-owned deployment volume.
For a single developer who works on several workstations and repositories, the Personal Agent Config Kit guide explains the Git-synchronised personal baseline, repository overlays, immutable context stamps, and workstation-safe provider continuity model. The baseline directory is confined to a non-symlinked descendant of the local home directory, and every publish or sync revalidates its configured origin fetch and push URLs against the HTTPS/SSH-only policy. The Kit is intentionally local-caller-only; Kit provider execution and recovery of an unadmitted attempt require healthy durable SQLite or PostgreSQL async-job admission. Kit mode supports Claude, Codex, and Mistral; every other provider fails closed while it is enabled. Kit scope never inherits the gateway process cwd: Claude and Mistral require a registered workspace selection or configured default, while Codex can also use an explicit absolute workingDir. Relative Kit workingDir values are rejected before filesystem or Git inspection. It disables cross-model validation tools while enabled and is not an HTTP/OAuth configuration or remote execution feature.
For a retention-pinned non-Kit Claude MCP request configuration, follow the local-only same-host recovery procedure. It accepts no SQL or arbitrary-path override. A valid recovery invocation emits JSON and exits 0 after success or 2 for a safe refusal; invalid usage or unavailable durable storage exits 1.
Release-readiness history is tracked in docs/personal-mcp/RELEASE_READINESS.md. Dogfooding evidence (which target LLMs guided setup, what unsafe suggestions were captured, and which findings were deferred from the initial personal-appliance rollout) is in docs/personal-mcp/DOGFOODING_RESULTS.md.
Current personal-appliance artifacts include:
LLM_GATEWAY_AUTH_TOKEN= npm run start:httpnpm run doctorinstaller/ with setup, doctor --json, start, stop, status, repair, upgrade, uninstall, print-client-config, and verified bundle download commands.ubuntu-latest and builds Windows/macOS binaries on their GitHub-hosted platform runners. The private upstream uses its internal self-hosted Linux runner. Each release publishes checksummed platform bundles with the gateway, production dependencies, and a managed Node runtime; see installer/packaging/README.md.只显示了开头部分;其余内容请在仓库中阅读