MCP.Market

Junê MCP server

by Junemind·io.github.Junemind/june-mcp·v0.8.1·1 stars

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

B82/100grade B
What users say
No reviews yet
Be the first
Safety scan
B82/100

not scanned yet

Adoption
Growing

1 stars319 downloads/wk

Reviews

Write one

Nobody has reviewed Junê yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Junê tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How Junê compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 68% of 3,470 Web search servers
GitHub stars
1
more than 55% of 1,786 Web search servers
Downloads a week
319
more than 78% of 827 Web search servers with a package

Release history: 5 versions in the registry since 2026-09-12, latest 2026-10-07, typically one every 6 days.

Install Junê in Claude Code, Cursor or VS Code

claude mcp add june-mcp -- uvx june-mcp
Add to Cursor

What the publisher says

From the Junê repository's README, as published. We do not edit it. Read it on GitHub

june-mcp

<!-- mcp-name: io.github.Junemind/june-mcp -->

Give your agent a memory. june-mcp is the official MCP server for Junê — it connects any MCP host (Claude Desktop, Claude Code, and friends) to a June knowledge graph, so your agent can ask, search, and remember against a shared, cited, tenant-isolated memory.

This package is a thin, zero-logic connector: all retrieval, graph assembly, and answering happen on the June endpoint you point it at. No engine code lives here — which is why it's small enough to read in one sitting.

Claude Desktop / Claude Code  ──stdio──▶  june-mcp  ──HTTPS──▶  your June endpoint
                                                                 (graph · retrieval · answers)

Install

pip install june-mcp          # just the connector   (or: pipx install june-mcp)
pip install june-ai           # umbrella: june-mcp + june-bench (the benchmark suite)
pip install "june-bench[mcp]" # the bench, with the connector as an extra

Point it at a June endpoint

june-mcp speaks to any June service. Three ways to have one:

and connect to its local engine — your files, graph, and keys stay on your machine.

  1. Junê desktop app (local-first). Run the Junê app

JUNEBASEURL at their own server.

  1. Your own June service. Pro/Team customers running the june-local engine package point

console.

  1. Hosted (Team). Point at your hosted June workspace endpoint with the API key from your

Configure

The server is fail-closed: it refuses to start unless it knows where to connect and as whom, and tells you everything that's missing in one message (not one error at a time).

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Junê: common questions

Is Junê MCP server safe?
Mostly: it is graded B (82/100). Read the Junê safety report
How do I install Junê?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Junê need an API key?
Yes. The registry entry asks for JUNE_API_KEY, JUNE_LLM_KEY.
Is Junê maintained?
The last commit was 35 days ago (2026-09-30). The latest release is v0.8.1.
What can I use instead of Junê?
Servers from other publishers that do the same job: Link MCP server, Shodh Memory MCP server and Reverie MCP server. Compare all Junê alternatives.
How does Junê compare with other Web search MCP servers?
safety score 82/100 (higher than 68% of 3,470 Web search servers); github stars 1 (more than 55% of 1,786 Web search servers); downloads a week 319 (more than 78% of 827 Web search servers with a package). Full comparison.

Alternatives to Junê

Same job from other publishers: the closest match first, then the best rated.

All Junê alternatives →
  • Link
    Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
    A
  • Shodh Memory
    Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
    C
  • Reverie
    Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search
    B
  • Octobrain
    Persistent memory for AI assistants with semantic search and knowledge graph relationships.
    A
  • Crg
    Token-efficient code review knowledge graph: semantic search and call-graph resolution.
    B