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zaharajabeen13-create/ai-rete-rag-mcp

zaharajabeen13-create/ai-rete-rag-mcp

MCP server for ai·rete·rag — deterministic rule-based decisions with RAG-powered explanations
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 ai-rete-rag-mcp -- npx -y ai-rete-rag-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
0 ★ · zaharajabeen13-create/ai-rete-rag-mcp · 取自 GitHub 搜索 API · (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 · 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 zaharajabeen13-create/ai-rete-rag-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

ai·rete·rag MCP Server

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

Use ai·rete·rag — deterministic rule-based decisions with
RAG-powered explanations — from Claude Code, Claude Desktop, or any MCP client.
The verdict always comes from the Rete rule engine (auditable, reproducible);
the LLM only explains *why*, grounded in your ingested policy documents.
Tools
| Tool | What it does |
|---|---|
| decide | Make a decision in a domain — structured facts and/or free text, with optional Pattern 01 (rules scope retrieval) and Pattern 02 (retrieval into working memory). as_of reads the policy documents in force on an earlier day |
| get_parameters | The facts a domain's rules decide on (from your account's own rules), most decisive first — what to collect before decide |
| list_rules | Inspect a domain's rules — conditions, verdicts, salience, overlaps |
| get_rule_source | Fetch a domain's rule set as editable YAML |
| import_policy_rules | Turn a written policy document into draft rules, each citing the sentence it encodes (nothing is saved — review, then put_rules) |
| put_rules | Create or replace a domain's rule set from YAML (dry_run to validate) |
| ingest_text | Add policy text to a domain's knowledge base, optionally dated (effective_from, effective_until) or replacing an earlier version (supersedes) |
| list_documents | Browse a domain's ingested documents |
| get_usage | Check your plan and remaining monthly decision quota |
Prompt: decide_case
An agent workflow for deciding a case in any domain on your account, including
your own: it calls get_parameters to learn which facts the rules decide on,
reads the case — text, photos, document scans, voice notes or video (the agent
reads the media itself; the API only receives the facts) — maps it onto those
exact fields, calls decide with fact_sources recording which file each fact
came from (kept in the decision's audit trail), and — while the result's
missing_parameters is non-empty (facts that could still change the verdict)
— asks you for them, most decisive first, and decides again. The verdict always
comes from the rules.
Connect by URL (no install)
The server is also hosted, which is the only route for clients that connect to a
URL and have no field for a static header — claude.ai and Claude Desktop custom
connectors, in particular.
| URL | Auth | Reaches |
|---|---|---|
| https://ai-rete-rag.com/mcp/auth | Sign in with Google, once, in the browser | Your account — your domains, your plan quota |
| https://ai-rete-rag.com/mcp | None, or Authorization: Bearer ik_... | Shared demo domains anonymously; your account with a key |
Add https://ai-rete-rag.com/mcp/auth as a custom connector and approve the
prompt. Connections are listed under **Settings → Connected apps**, and
disconnecting one takes effect immediately.
Install
No install needed with uv — uvx ai-rete-rag-mcp
fetches and runs the server on demand (see the config snippets below).
来源
awesome · https://github.com/zaharajabeen13-create/ai-rete-rag-mcp
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