Search / io.github.Junemind/june-mcp
Junê
L0· runs locallyShared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
v0.8.1 · active · repository · website · descriptor JSON · versions
Search / io.github.Junemind/june-mcp
L0· runs locallyShared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
v0.8.1 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"june-mcp": {
"command": "uvx",
"args": [
"june-mcp==0.8.1"
],
"env": {
"JUNE_BASE_URL": "${JUNE_BASE_URL}",
"JUNE_CANVAS": "${JUNE_CANVAS}",
"JUNE_API_KEY": "${JUNE_API_KEY}",
"JUNE_LLM_KEY": "${JUNE_LLM_KEY}"
}
}
}
}claude mcp add june-mcp -e "JUNE_BASE_URL=${JUNE_BASE_URL}" -e "JUNE_CANVAS=${JUNE_CANVAS}" -e "JUNE_API_KEY=${JUNE_API_KEY}" -e "JUNE_LLM_KEY=${JUNE_LLM_KEY}" -- uvx june-mcp==0.8.1[mcp_servers.june-mcp]
command = "uvx"
args = ["june-mcp==0.8.1"]
env = { "JUNE_BASE_URL" = "${JUNE_BASE_URL}", "JUNE_CANVAS" = "${JUNE_CANVAS}", "JUNE_API_KEY" = "${JUNE_API_KEY}", "JUNE_LLM_KEY" = "${JUNE_LLM_KEY}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"june-mcp": {
"type": "local",
"command": [
"uvx",
"june-mcp==0.8.1"
],
"enabled": true,
"environment": {
"JUNE_BASE_URL": "{env:JUNE_BASE_URL}",
"JUNE_CANVAS": "{env:JUNE_CANVAS}",
"JUNE_API_KEY": "{env:JUNE_API_KEY}",
"JUNE_LLM_KEY": "{env:JUNE_LLM_KEY}"
}
}
}
}{
"mcpServers": {
"june-mcp": {
"command": "uvx",
"args": [
"june-mcp==0.8.1"
],
"env": {
"JUNE_BASE_URL": "${JUNE_BASE_URL}",
"JUNE_CANVAS": "${JUNE_CANVAS}",
"JUNE_API_KEY": "${JUNE_API_KEY}",
"JUNE_LLM_KEY": "${JUNE_LLM_KEY}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=june-mcp&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJqdW5lLW1jcD09MC44LjEiXSwiZW52Ijp7IkpVTkVfQkFTRV9VUkwiOiIke0pVTkVfQkFTRV9VUkx9IiwiSlVORV9DQU5WQVMiOiIke0pVTkVfQ0FOVkFTfSIsIkpVTkVfQVBJX0tFWSI6IiR7SlVORV9BUElfS0VZfSIsIkpVTkVfTExNX0tFWSI6IiR7SlVORV9MTE1fS0VZfSJ9fQ%3D%3D"
}{
"servers": {
"june-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"june-mcp==0.8.1"
],
"env": {
"JUNE_BASE_URL": "${JUNE_BASE_URL}",
"JUNE_CANVAS": "${JUNE_CANVAS}",
"JUNE_API_KEY": "${JUNE_API_KEY}",
"JUNE_LLM_KEY": "${JUNE_LLM_KEY}"
}
}
}
}{
"mcpServers": {
"june-mcp": {
"command": "uvx",
"args": [
"june-mcp==0.8.1"
],
"env": {
"JUNE_BASE_URL": "${JUNE_BASE_URL}",
"JUNE_CANVAS": "${JUNE_CANVAS}",
"JUNE_API_KEY": "${JUNE_API_KEY}",
"JUNE_LLM_KEY": "${JUNE_LLM_KEY}"
}
}
}
}extensions:
"june-mcp":
enabled: true
name: "june-mcp"
type: stdio
cmd: "uvx"
args:
- "june-mcp==0.8.1"
envs:
"JUNE_BASE_URL": "${JUNE_BASE_URL}"
"JUNE_CANVAS": "${JUNE_CANVAS}"
"JUNE_API_KEY": "${JUNE_API_KEY}"
"JUNE_LLM_KEY": "${JUNE_LLM_KEY}"
timeout: 300
Placeholders to fill from your own secret store: ${JUNE_API_KEY}, ${JUNE_LLM_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknownNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-13d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
june-mcp | pypi | 0.8.1 | uvx | JUNE_API_KEY, JUNE_LLM_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.Junemind/june-mcp",
"title": "Junê",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.8.1",
"packages": [
{
"version": "0.8.1",
"transport": {
"type": "stdio"
},
"identifier": "june-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "JUNE_BASE_URL",
"isRequired": true,
"description": "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)"
},
{
"name": "JUNE_CANVAS",
"isRequired": true,
"description": "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"
},
{
"name": "JUNE_API_KEY",
"isSecret": true,
"isRequired": true,
"description": "Your June API key (set JUNE_ALLOW_ANON=1 instead to explicitly opt out for keyless local setups)"
},
{
"name": "JUNE_LLM_KEY",
"isSecret": true,
"description": "Bring-your-own LLM key for cited answers — forwarded per-request as a header, never logged or stored on the service"
},
{
"name": "JUNE_CANVAS_CREATE",
"description": "Set to 1 to create the named canvas on first run if it doesn't exist yet (refused in read-only mode)"
},
{
"name": "JUNE_READONLY",
"description": "Set to 1 to hide and refuse all write tools (memory becomes read-only)"
},
{
"name": "JUNE_FILES_ROOT",
"description": "Opt-in directory agents may upload files from via june_ingest_file — unset means that tool doesn't exist"
},
{
"name": "JUNE_DOCS_CANVAS",
"description": "Canvas holding the agent's standing docs/skills/learnings (default 'agent_docs')"
},
{
"name": "JUNE_DOCS_REFRESH",
"description": "Set to 0 to disable the periodic standing-docs digest re-injected on tool results (default on)"
},
{
"name": "JUNE_REFRESH_CALLS",
"description": "Tool calls between digest injections (default 12) — lower it for small-context agents"
},
{
"name": "JUNE_REFRESH_MINUTES",
"description": "Wall-clock fallback between digest injections (default 10)"
},
{
"name": "JUNE_DIGEST_CHARS",
"description": "Standing-docs digest size cap in characters (default 2000)"
},
{
"name": "JUNE_EXPORT_ROOT",
"description": "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"
}
]
}
],
"repository": {
"url": "https://github.com/Junemind/june-mcp",
"source": "github"
},
"websiteUrl": "https://june.januraine.ai",
"description": "Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions"
}