Wu Wei Router

io.github.jdhart81由 GitHub 帳號 jdhart81 發布v0.1.0更新於 Nov 9, 2026

Plan agent workload routes from evaluation and cost data. $1 USDC per plan; modeled savings only.

發布方自己的服務：370.ai — AI Gateway: 100+ Chat Models, Image & Speech Generation

已驗證Streamable HTTP可網頁執行資料與分析 AI 與機器學習

服務詳細資訊

識別碼: io.github.jdhart81/wu-wei-router
傳輸: Streamable HTTP
執行環境: Web executable
信任: Verified
發布於: Sep 16, 2026

安全提示

MCP 服務會接收對話中的工具呼叫請求，並可能執行外部操作。啟用前請先了解該服務能做什麼，並只授予它所需的權限。

註冊中心已驗證此條目所屬的 GitHub 帳號 jdhart81。這並不表明該帳號就是產品方。

SourceWeft 的檢查只涵蓋條目是否完整、端點是否回應；不審查伺服器的程式碼，也不審查其工具的行為。

在 README 中新增徽章

向讀者展示該 MCP 服務已收錄於 SourceWeft，徽章連結到本頁。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.jdhart81%2Fwu-wei-router.svg)](https://sourceweft.com/mcp/io.github.jdhart81%2Fwu-wei-router?utm_source=readme&utm_medium=badge)

概覽

AI 產生的概覽

遠端 MCP 服務，依宣告的成本與評估次數，為 AI 代理任務產生 1 美元的負載路由方案。

可以做什麼: 免費查詢服務範圍與價格
依宣告的成本與代表性評估次數產生 1 美元的工作負載路由方案，最多支援 20 個設定檔與 50 個任務群組
付費前先檢視公開服務結構並申請免費未付費報價
適用情境: 當你需要一份可稽核的建模路由方案，把代理工作負載分配到不同設定檔與任務群組，並希望在付費前先了解範圍與免費報價時使用。
執行需求: 遠端 streamable HTTP 端點 mcp.viridisconservation.com；未宣告驗證、環境變數或標頭。託管服務每個服務每天有 10 次免費呼叫額度，付費方案依方案計費。

安裝前請注意

每份方案收費 1 USDC，且節省金額僅為建模估算；此服務不執行任務，也不確認實際節省。付款與結算由託管服務處理，其付款層為專有實作。建議先申請免費未付費報價。

安裝

在 SourceWeft 中

開啟儀表板中的 Wu Wei Router，將其新增到工作區。
為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.jdhart81%2Fwu-wei-router/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "wu-wei-router": {
      "type": "http",
      "url": "https://mcp.viridisconservation.com/wu-wei-router/mcp"
    }
  }
}

README

Viridis Agent Fleet: open-source agents for the agent economy

Deterministic, auditable MCP agents: trust and settlement rails (identity, trust, escrow, metering, arbitration, notary, surety, provenance, covenant, offsets, compute-ledger) and priced-grade services (tax credits, GHG accounting, construction takeoff, measurement, compliance). Every core is pure Python with no LLM in the serving path, and every result is content-addressed so anyone can re-verify it.

Licensed Apache-2.0. Run any agent yourself, fork it, embed it.

Run an agent locally (free, forever)

bash

pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py          # stdio MCPpython3 run_fleet_tests.py                                 # every agent's invariant tests

pip install -r requirements-dev.txtpython3 agent-escrow-agent/adapters/mcp_server.py          # stdio MCPpython3 run_fleet_tests.py                                 # every agent's invariant tests

Or use the hosted fleet

https://mcp.viridisconservation.com runs all agents as one managed MCP service:

	Self-hosted (this repo)	Hosted by Viridis
Agent logic & verification	✅ identical	✅ identical
Viridis-signed receipts & notary chain	–	✅
Shared trust/reputation network data	–	✅
Maintained rule packs (tax, GHG factors, regs)	snapshot	✅ kept current
Payments (x402, card), seats, SLA	–	✅

Free tier: 10 calls/day per service; the rails (identity, escrow, metering…) are free forever. Verification is always free.

For agents

Agents and LLM tools can start from llms.txt, a generated index of every agent, and AGENTS.md, the rules for using and changing the fleet.

Part of the Viridis open-source commons

Building agents for conservation or energy work? VergeCommon and EnergyAI MCP also expose MCP tools, and ViridisOS serves its decision functions to agents over MCP.

This project is one of a connected set of open tools from Viridis. Each stands on its own; together they run from field evidence to checked decisions.

Conservation commons

VergeCommon: community conservation co-ops with consent-based land mapping, field evidence and group decisions
Dendritic Forest Management (DFM): compare forest-retention options around roads and waterways, with traceable inputs and portable reports
Global Soil Intelligence Project (GSIP): contribute soil observations and explore open soil maps with explicit uncertainty

Verifiable science

Viridis Canon: machine-checked Lean 4 mathematics for ecological decisions, with a DOI for every result
ViridisOS: open reference runtime for DOI-backed decision modules and recomputable results
Viridis Research: the nightly public research record, each claim labeled by what a verifier actually checked
ProofLens: see what a Lean statement means before reading the proof

Agent tools

Viridis Agent Fleet (this repository): open-source MCP agents with deterministic, auditable cores
EnergyAI MCP: energy-planning estimates and incentive sources for AI agents

Browse every project on the Viridis profile. If this one is useful to you, a star helps other people find it.

Boundary

This repo contains agent cores, MCP adapters, tests, standards and self-host tooling. The hosted service layer (gateway, payment and settlement, seats, signing authority, operations, telemetry and customer data) is proprietary and is not in this repo. Please don't open PRs that add it.

"Viridis", "Viridis Conservation" and the Viridis marks are trademarks of Viridis LLC; see TRADEMARKS.md.

來源：README.md，提交 350712c

工具

plan_workload

$1 workload routing plan from declared costs and representative evaluation counts. Up to 20 profiles and 50 task groups. Inspect the public service schema and a free unpaid quote first. Does not execute tasks or establish actual savings.

輸入參數tasks必填profiles必填