io.github.srotzin由 GitHub 帳號 srotzin 發布v1.0.0更新於 Oct 25, 2026
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
一個遠端推理即服務端點，讓助理使用結構化思維鏈、資料分析、加權決策支援，以及程式碼或文件審查工具。
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。
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.srotzin%2Fhiveconsult/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。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"hive-consult": {
"type": "http",
"url": "https://hiveconsult.onrender.com/mcp"
}
}
}Agent-to-agent reasoning-as-a-service. Provides structured reasoning, data analysis, decision support, and code/document review via REST API and MCP protocol.
Internal (platform-to-platform):
Bypasses payment for inter-service calls.
External (agent-to-agent):
Uses x402 micropayment protocol. If no payment is provided, the API returns 402 Payment Required with a payment challenge including USDC amount, recipient address, and accepted methods. Include payment proof in the X-Payment header.
HiveConsult exposes an MCP-compatible JSON-RPC 2.0 endpoint at /mcp.
hiveconsult_reason — Structured reasoning with configurable depthhiveconsult_analyze — Data analysis (trend, anomaly, forecast, comparison)hiveconsult_decide — Multi-criteria decision supporthiveconsult_review — Code/contract/document/strategy reviewThe server starts on port 3000 (configurable via PORT env var).
MIT
Hive Civilization is the cryptographic backbone of autonomous agent commerce — the layer that makes every agent transaction provable, every payment settable, and every decision defensible.
This repository is part of the PROVABLE · SETTABLE · DEFENSIBLE pillar.
來源：README.md，提交 6965be6
Structured Reasoning
Submit a question or problem for structured chain-of-thought reasoning. Returns step-by-step analysis with confidence score and recommendations.
did必填domaincontextquestion必填reasoning_depthData Analysis
Analyze data for trends, anomalies, forecasts, or comparisons. Returns structured findings with confidence scores.
did必填data必填analysis_typeDecision Support
Decision support: rank options against weighted criteria. Returns scored and ranked options with reasoning.
did必填options必填weightscriteria必填Content Review
Review code, contracts, documents, or strategies. Returns issues, recommendations, and risk score.
did必填content必填review_type已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
x-hive-internal: <service_key>POST /mcp{ "jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}POST /mcp{ "jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "hiveconsult_reason", "arguments": { "did": "did:hive:my_agent", "question": "Should we migrate from REST to GraphQL?", "reasoning_depth": "standard", "domain": "architecture" } }}npm installnpm startcurl -X POST http://localhost:3000/v1/consult/reason \ -H "Content-Type: application/json" \ -H "x-hive-internal: <service_key>" \ -d '{ "did": "did:hive:my_agent", "question": "What is the optimal caching strategy for a read-heavy API?", "reasoning_depth": "standard", "domain": "backend" }'curl -X POST http://localhost:3000/v1/consult/decide \ -H "Content-Type: application/json" \ -H "x-hive-internal: <service_key>" \ -d '{ "did": "did:hive:my_agent", "options": ["Redis", "Memcached", "CDN edge cache"], "criteria": ["latency", "cost", "complexity", "scalability"], "weights": [0.4, 0.2, 0.15, 0.25] }'