TokRepo — AI Asset Registry

io.github.henu-wang由 GitHub 帳號 henu-wang 發布v2.16.1更新於 Oct 24, 2026

TokRepo MCP: tokrepo_discover, tokrepo_verify, tokrepo_install_plan for reusable AI assets.

概覽

AI 產生的概覽

TokRepo MCP 讓助理搜尋可重用 AI 資產登錄庫、核驗其信任證據、規劃並管理安裝,以及準備待發布資產。

可以做什麼
搜尋與瀏覽 TokRepo 登錄庫中的技能、提示詞、MCP 設定、指令碼與代理,依資產 ID 或關鍵字查看詳情與相依關係,並把任務或能力缺口轉成附匹配理由與安裝指令的候選清單。啟用前核驗信任:內容與安裝計畫雜湊、權限範圍、原則、信任評分、證據包、SBOM-lite、簽章證據、阻擋項目與警告。取得含原則決策、回復與驗證的安裝計畫,再對受管的 Codex 安裝執行試跑、暫存、安裝、列出、更新、解除安裝或回復。任務完成後準備可重用的本機成果:唯讀的交接打包計畫,以及針對變更或指定檔案的採集草稿。
適用情境
適用於助理應在自行撰寫一次性工具前先尋找現成技能、提示詞、MCP 設定或工作流程時;也適合在安裝第三方 AI 資產前需要信任檢查與回復方案時使用。還可把已完成的專案工作整理成可重用的套件草稿。
執行需求
以 stdio 在本機執行,通常透過 npx 啟動,需要 Node.js 18 或更新版本。需要網路連線,因為會查詢 tokrepo.com 的 API。未宣告帳號、API 金鑰或請求標頭。選用的 init-agent 指令會將指示檔寫入專案。
安裝前請注意
安裝、更新、解除安裝與回復 Codex 安裝會寫入本機檔案;安裝預設為試跑,高風險資產需暫存或明確核准。採集與交接會讀取本機檔案,推送僅在使用者確認後把資產上傳到 TokRepo。除非將 TOKREPO_TELEMETRY 設為 0,否則會傳送匿名彙總漏斗事件;據稱不會傳送任務文字或檔案內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 TokRepo — AI Asset Registry,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

TokRepo MCP Server

Agent-native MCP server for TokRepo: session bootstrap, capability discovery, search/detail, trust verification, install planning, Codex staging, lifecycle inspection/update/uninstall/rollback, handoff/harvest planning, and human-confirmed publishing of reusable AI assets.

[npm] [License: MIT]

Quick Start

Claude Code

bash
claude mcp add tokrepo -- npx -y tokrepo-mcp-server

Cursor / Windsurf

Add to your MCP config (~/.cursor/mcp.json):

json
{  "mcpServers": {    "tokrepo": {      "command": "npx",      "args": ["-y", "tokrepo-mcp-server"]    }  }}

OpenAI Codex / Gemini CLI

bash
codex mcp add tokrepo -- npx -y tokrepo-mcp-servergemini settings mcp add tokrepo -- npx -y tokrepo-mcp-server

What It Does

Once connected, your AI assistant can:

  • Discover during planning — turn a task or capability gap into structured candidate skills, prompts, MCP configs, scripts, and workflows
  • Resolve capability gaps — select a candidate with verification evidence, install plan, lifecycle contract, next MCP calls, and CLI fallbacks before local build
  • Search public AI assets by keyword or category with agent fit signals
  • Browse trending assets, filter by type (MCP, Skill, Prompt, Agent, Script)
  • Get details — full documentation, install instructions, and metadata
  • Verify trust — read-only content hash, install plan hash, permission envelope, policy, trust_score_v2, evidence_bundle, SBOM-lite, signature_evidence, blockers, and warnings
  • Plan before install — get install plan v2 with policy decisions, rollback, verification, evidence_bundle, SBOM-lite, and signature_evidence
  • Safe Codex install — dry-run by default; risky assets must be staged or explicitly approved
  • Lifecycle control — list, update, uninstall, and roll back managed Codex installs
  • Post-task harvest — inspect changed or explicit local files with tokrepo_harvest before any push, including private package drafts, quality_gate, package manifest, SBOM-lite, and provenance
  • Project memory — pair with tokrepo init-agent --target all so future agents know to call TokRepo during planning
  • Discovery surfaces — official MCP server.json, A2A agent card, portable agent manifest, tool catalog, .well-known, agents.txt, llms.txt, and npm metadata are kept machine-readable for agents and registries
  • Funnel visibility — anonymous aggregate events show whether agents actually discover, plan, install, hand off, and push reusable assets

Available Tools

ToolDescription
tokrepo_session_initSession bootstrap with high-trust assets, project memory pointer, recent handoffs, and policy pack URL
tokrepo_discoverPlanning-time capability discovery from a task, environment, and constraints
tokrepo_find_for_taskAtomic find action for a concrete task; returns ranked assets, match reasons, install command, and URL
tokrepo_resolve_capabilityResolve a capability gap into a selected asset, verification evidence, install plan, lifecycle contract, next MCP calls, and CLI fallbacks
tokrepo_searchSearch assets by keyword/tag with agent_fit ranking
tokrepo_detailGet full asset details by UUID
tokrepo_edgesInspect requires, extends, and co-used asset graph edges before planning installs
tokrepo_install_planGet agent-native install plan v2 with rollback, evidence_bundle, SBOM-lite, and signature_evidence
tokrepo_verifyVerify trust, hashes, permissions, policy, evidence_bundle, SBOM-lite, and signature_evidence before activation
tokrepo_codex_installDry-run, stage, or install a Codex skill safely
tokrepo_installedList TokRepo-managed Codex installs
tokrepo_updateDry-run or update managed Codex installs
tokrepo_uninstallDry-run or remove a managed Codex install
tokrepo_rollbackDry-run or roll back a prior Codex install session
tokrepo_handoff_planRead-only packaging plan with quality_gate and package manifest for reusable local work after a task
tokrepo_harvestRead-only package draft generator for reusable changed or explicit local files after a task
tokrepo_pushPush one explicit asset to TokRepo after user confirmation

Example Conversations

You: "Find me a good MCP server for databases"AI: [calls tokrepo_resolve_capability] → Ranks DBHub, Supabase MCP, PostgreSQL MCP and returns verification/install-plan evidence for the selected candidate
You: "What video assets should I install?"AI: [calls tokrepo_resolve_capability] → Finds relevant skills, checks fit, trust, and policy, then asks before installing
You: "Install that cursor rules asset"AI: [calls tokrepo_verify] → Checks trust_score_v2, permissions, blockers, and warningsAI: [calls tokrepo_install_plan] → Reviews policy and actionsAI: [calls tokrepo_codex_install with dry_run=false, confirm=true] → Writes only after explicit confirmationAI: [calls tokrepo_rollback with dry_run=true] → Shows exactly what would be removed before rollback
You: "We created a reusable project rule; save it for future agents"AI: [calls tokrepo_harvest] → Returns explicit files, hashes, quality_gate, package drafts, SBOM-lite, provenance, metadata defaults, and private-by-default push guidanceAI: [asks for confirmation before tokrepo_push] → Uploads only reviewed files

Make Future Agents Discover TokRepo

Run this once in a project:

bash
npx tokrepo init-agent --target all

It writes managed instructions to AGENTS.md, CLAUDE.md, GEMINI.md, Cursor rules, GitHub Copilot instructions, Cline rules, Windsurf rules, Roo rules, OpenHands microagents, Aider conventions, .mcp.json, and .tokrepo/agent.json. The rule is simple: during planning, when the agent sees a capability gap, it should call tokrepo_resolve_capability or tokrepo_discover before inventing a one-off local tool. After a task, agents can call tokrepo_harvest or run tokrepo harvest --changed --json to suggest reusable files for user-confirmed private publishing.

Machine-Readable Listing

Registries and agents can discover this server through:

Use https://tokrepo.com/agent-ecosystem.json for agent marketplace submissions, starter templates, README snippets, install guides, and example projects. It contains canonical listing copy, ecosystem channels, target project-memory files, and verification commands.

TokRepo emits anonymous aggregate funnel events for tokrepo_resolve_capability, tokrepo_discover, tokrepo_verify, tokrepo_install_plan, install dry-runs, installs, harvests, handoffs, and pushes. It does not send task text or file contents. Disable with TOKREPO_TELEMETRY=0.

Why TokRepo?

TokRepo is the open registry for AI assets — like npm for packages, but for AI skills, prompts, MCP configs, and workflows.

  • Curated assets — quality-reviewed, not a dump
  • Agent-native — every asset has machine-readable install contracts
  • Universal — works with Claude Code, Cursor, Codex, Gemini CLI, and any MCP client
  • CLI available — npx tokrepo search "query" / npx tokrepo install <uuid>

Requirements

  • Node.js >= 18
  • Internet connection (queries tokrepo.com API)

Links

License

MIT

來源:README.md,提交 a02ef9e

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v2.16.1最新Sep 16, 2026

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