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pathrule/mcp

pathrule/mcp

Path-scoped team memories, rules and skills for coding agents
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp -- npx -y mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · pathrule/mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 pathrule/mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Pathrule Remote MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Pathrule Remote MCP exposes Pathrule workspace memory, rules, skills, setup, snapshots, and activity logging over the Model Context Protocol.
Public endpoint:
Registry manifest:
What It Does
Pathrule gives AI coding agents path-scoped project context. The remote MCP server lets cloud MCP clients use the same Pathrule workspace data without installing Pathrule Desktop or the local CLI on the client host.
Remote MCP is intentionally cloud-only. It can read and write Pathrule cloud records, but it cannot read local files, install hooks, render AGENTS.md / CLAUDE.md, or materialize local skills. For those local runtime features, use Pathrule Desktop or @pathrule/cli.
Using Pathrule Remote MCP
Pathrule Remote MCP is the MCP endpoint for Pathrule Web workspaces. It is not a general-purpose hosted memory service that works without Pathrule.
To use it:
1. Create or sign in to a Pathrule account:
2. Create or select a Pathrule workspace in the app.
3. Connect your MCP client to:
When an MCP client connects, it starts an OAuth flow through Pathrule Web. After approval, the client can access only the Pathrule workspaces visible to that signed-in account, using the scopes you approved.
This repository is the public source and directory listing target for Pathrule's Remote MCP endpoint. It is not a standalone local memory database, and it does not create a usable Pathrule workspace without a Pathrule account.
Tools
Workspace and context:
- pathrule_list_workspaces
- pathrule_get_context
- pathrule_goto
- pathrule_get_tree
- pathrule_get_node
- pathrule_list_memories
- pathrule_read_memory
- pathrule_read_rule
- pathrule_read_skill
- pathrule_ping
Workspace setup:
- pathrule_list_organizations
- pathrule_create_workspace
- pathrule_setup
Writes:
- pathrule_write_memory
- pathrule_update_memory
- pathrule_delete_memory
- pathrule_write_rule
- pathrule_update_rule
- pathrule_delete_rule
- pathrule_write_skill
- pathrule_update_skill
- pathrule_delete_skill
Snapshots, refreshes, and activity:
- pathrule_take_snapshot
- pathrule_list_snapshots
- pathrule_read_snapshot
- pathrule_list_pending_refreshes
- pathrule_get_refresh_brief
- pathrule_resolve_refresh
- pathrule_log_activity
- pathrule_get_local_runtime_upgrade
Security Model
- OAuth scopes decide the tool surface. Read tools require pathrule:read; write tools require pathrule:write; refresh/activity tools require pathrule:activity.
- Every workspace operation runs through the authenticated user's Supabase JWT and database RLS policies.
- The connector does not use Supabase admin keys to widen user access.
- Write tools are also gated by workspace subscription status and per-user/per-workspace rate limits.
- MCP event telemetry is metadata-only: tool name, user/workspace/client identifiers, status/error code, and latency bucket. Tool input and content bodies are not logged.
- The remote server never accesses the user's filesystem and never writes local companion files.
来源
awesome · https://github.com/pathrule/mcp
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