Wu Wei Router

io.github.jdhart81由 GitHub 账号 jdhart81 发布v0.1.0更新于 Nov 9, 2026

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

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

已验证Streamable HTTP可网页运行数据与分析 AI 与机器学习

服务详情

标识符: io.github.jdhart81/wu-wei-router
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 jdhart81。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![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)

概览

AI 生成的概览

远程 MCP 服务，根据声明的成本与评估次数，为 AI 代理任务生成 1 美元的负载路由方案。

可以做什么: 免费查询服务范围与价格
根据声明的成本和代表性评估次数生成 1 美元的工作负载路由方案，最多支持 20 个配置档和 50 个任务组
在付费前查看公开服务架构并申请免费未付费报价
适用场景: 当你需要一份可审计的建模路由方案，把代理工作负载分配到不同配置档和任务组，并希望在付费前先了解范围与免费报价时使用。
运行要求: 远程 streamable HTTP 端点 mcp.viridisconservation.com；未声明认证、环境变量或请求头。托管服务每个服务每天有 10 次免费调用额度，付费方案按方案计费。

安装前请注意

每份方案收费 1 USDC，且节省额仅为建模估算；该服务不执行任务，也不确认实际节省。支付与结算由托管服务处理，其支付层为专有实现。建议先申请免费未付费报价。

安装

在 SourceWeft 中

打开控制台中的 Wu Wei Router，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.jdhart81%2Fwu-wei-router/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源：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.

输入参数tasks必填profiles必填