mcpbeat Sign in

Junê MCP Server

local only

Junê runs on your own machine — the client starts it, so there is no endpoint to ping. 585 installs a week from pypi. Last commit 12 Sep 2026.

Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions

Installs per day peak 1 732 · avg 188 · -53% w/w
a month agotoday
585
Installs / week
pypi · june-mcp
1
Stars
0 open issues
12 Sep 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 2 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    return subprocess.run(["git", "-C", str(root), *args],

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add june-mcp -- uvx june-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "june-mcp": {
      "args": [
        "june-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.june-mcp]
command = "uvx"
args = ["june-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "june-mcp": {
      "args": [
        "june-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "june-mcp": {
      "args": [
        "june-mcp"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: JUNE_BASE_URL (Your 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_CANVAS (The 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 (Your June API key (set JUNE_ALLOW_ANON=1 instead to explicitly opt out for keyless local setups)), JUNE_LLM_KEY (Bring-your-own LLM key for cited answers — forwarded per-request as a header, never logged or stored on the service), JUNE_CANVAS_CREATE (Set to 1 to create the named canvas on first run if it doesn't exist yet (refused in read-only mode)), JUNE_READONLY (Set to 1 to hide and refuse all write tools (memory becomes read-only)), JUNE_FILES_ROOT (Opt-in directory agents may upload files from via june_ingest_file — unset means that tool doesn't exist), JUNE_DOCS_CANVAS (Canvas holding the agent's standing docs/skills/learnings (default 'agent_docs')), JUNE_DOCS_REFRESH (Set to 0 to disable the periodic standing-docs digest re-injected on tool results (default on)), JUNE_REFRESH_CALLS (Tool calls between digest injections (default 12) — lower it for small-context agents), JUNE_REFRESH_MINUTES (Wall-clock fallback between digest injections (default 10)), JUNE_DIGEST_CHARS (Standing-docs digest size cap in characters (default 2000)), JUNE_EXPORT_ROOT (Opt-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). The author declared them in the registry entry; get the values from the project itself.

Alternatives to Junê

same job, measured the same way
Memory
by sharedmemoryai

Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.

63 installs/wk local only
Ori Memory
by aayoawoyemi

Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.

269 installs/wk local only
AiAkiv Memory
by aiakiv

Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

answering
Agent Knowledge
by keshrath

Cross-session memory for AI agents - knowledge graph, scoring, semantic search

119 installs/wk local only
Mnemograph
by tm42

Event-sourced knowledge graph memory for AI coding agents with semantic search

148 installs/wk local only
Neuromcp
by adelelo13

Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation

289 installs/wk local only
RemembrallMCP
by cdnsteve

Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.

20 installs/wk local only
Memory
by humaux

Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

answering

Junê — questions

Answers built from our own checks of this server.

Why is there no uptime for Junê?
Junê runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package june-mcp was installed 585 times last week.
How do I connect Junê?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls june-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Junê?
The pypi package june-mcp was installed 585 times in the last week. Week over week that is -53%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Junê open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.