mcpField
J
Junê

Junê

本地服务
june.januraine.ai记忆与知识

关于 Junê

面向 Agent 的共享、带引用的知识图谱记忆:提问、搜索、记录,并保存长期有效的指令

配置

本地服务的配置在各客户端中通用,复制后粘贴到客户端的 MCP 配置文件即可。

mcp.json · 通用配置
{
"mcpServers": {
"junemind-june": {
"command": "uvx",
"args": [
"june-mcp"
],
"env": {
"JUNE_BASE_URL": "<JUNE_BASE_URL>",
"JUNE_CANVAS": "<JUNE_CANVAS>",
"JUNE_API_KEY": "<JUNE_API_KEY>",
"JUNE_LLM_KEY": "<JUNE_LLM_KEY>",
"JUNE_CANVAS_CREATE": "<JUNE_CANVAS_CREATE>",
"JUNE_READONLY": "<JUNE_READONLY>",
"JUNE_FILES_ROOT": "<JUNE_FILES_ROOT>",
"JUNE_DOCS_CANVAS": "<JUNE_DOCS_CANVAS>",
"JUNE_DOCS_REFRESH": "<JUNE_DOCS_REFRESH>",
"JUNE_REFRESH_CALLS": "<JUNE_REFRESH_CALLS>",
"JUNE_REFRESH_MINUTES": "<JUNE_REFRESH_MINUTES>",
"JUNE_DIGEST_CHARS": "<JUNE_DIGEST_CHARS>",
"JUNE_EXPORT_ROOT": "<JUNE_EXPORT_ROOT>"
}
}
}
}
启动命令uvx june-mcp
需要配置的环境变量
JUNE_BASE_URLYour June endpoint, e.g. http://localhost:8000 (the Junê desktop app's local engine, your own june-local service, or a hosted Team workspace)
JUNE_CANVASThe canvas (workspace) to bind this connection to — a name (e.g. 'work') or a canvas id; names resolve at startup and ambiguous names fail closed
JUNE_API_KEY密钥Your June API key (set JUNE_ALLOW_ANON=1 instead to explicitly opt out for keyless local setups)
JUNE_LLM_KEY密钥Bring-your-own LLM key for cited answers — forwarded per-request as a header, never logged or stored on the service
JUNE_CANVAS_CREATESet to 1 to create the named canvas on first run if it doesn't exist yet (refused in read-only mode)
JUNE_READONLYSet to 1 to hide and refuse all write tools (memory becomes read-only)
JUNE_FILES_ROOTOpt-in directory agents may upload files from via june_ingest_file — unset means that tool doesn't exist
JUNE_DOCS_CANVASCanvas holding the agent's standing docs/skills/learnings (default 'agent_docs')
JUNE_DOCS_REFRESHSet to 0 to disable the periodic standing-docs digest re-injected on tool results (default on)
JUNE_REFRESH_CALLSTool calls between digest injections (default 12) — lower it for small-context agents
JUNE_REFRESH_MINUTESWall-clock fallback between digest injections (default 10)
JUNE_DIGEST_CHARSStanding-docs digest size cap in characters (default 2000)
JUNE_EXPORT_ROOTOpt-in directory for repo sync — enables june_docs_export / june_page_export / june_page_import (fenced writes, commit-only git); unset means those tools don't exist

本地服务需要在你的电脑上安装运行环境(如 Node.js 18+)。各客户端的配置文件位置不同,请参考客户端文档。

安装包
pypijune-mcp0.8.1

工具

还没有获取到工具列表

本地服务需要在你的电脑上运行后才能读取工具,维护者暂未提供工具列表。

详细介绍

维护者还没有提供详细介绍,可以先查看代码仓库中的 README。

评论

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第一次接触 MCP?

从协议是什么,到在客户端里装上第一个服务,这几条回答覆盖了大多数入门问题。

一个开放协议,规定了 AI 应用如何以统一方式连接外部工具与数据源。客户端负责与模型对话,MCP 服务负责提供工具、资源和提示模板,两者通过标准消息通信,同一个服务可以被不同客户端复用。