Search / io.github.ysydhc/team-memory
TeamMemory
L0· runs locallyTeam experience database - let AI accumulate, retrieve and apply team knowledge across chats.
v0.1.2 · active · repository · descriptor JSON · versions
Search / io.github.ysydhc/team-memory
L0· runs locallyTeam experience database - let AI accumulate, retrieve and apply team knowledge across chats.
v0.1.2 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"team-memory": {
"command": "uvx",
"args": [
"team_memory==0.1.2"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}claude mcp add team-memory -e "DATABASE_URL=${DATABASE_URL}" -- uvx team_memory==0.1.2[mcp_servers.team-memory]
command = "uvx"
args = ["team_memory==0.1.2"]
env = { "DATABASE_URL" = "${DATABASE_URL}" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"team-memory": {
"type": "local",
"command": [
"uvx",
"team_memory==0.1.2"
],
"enabled": true,
"environment": {
"DATABASE_URL": "{env:DATABASE_URL}"
}
}
}
}{
"mcpServers": {
"team-memory": {
"command": "uvx",
"args": [
"team_memory==0.1.2"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=team-memory&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJ0ZWFtX21lbW9yeT09MC4xLjIiXSwiZW52Ijp7IkRBVEFCQVNFX1VSTCI6IiR7REFUQUJBU0VfVVJMfSJ9fQ%3D%3D"
}{
"servers": {
"team-memory": {
"type": "stdio",
"command": "uvx",
"args": [
"team_memory==0.1.2"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}{
"mcpServers": {
"team-memory": {
"command": "uvx",
"args": [
"team_memory==0.1.2"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}"
}
}
}
}extensions:
"team-memory":
enabled: true
name: "team-memory"
type: stdio
cmd: "uvx"
args:
- "team_memory==0.1.2"
envs:
"DATABASE_URL": "${DATABASE_URL}"
timeout: 300
Placeholders to fill from your own secret store: ${DATABASE_URL}. 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 unknowndeps.known_vulnsno known advisory in 83 resolved packagesdeps.mcp_sdk_versionmcp 2.2.0, no known advisorydeps.resolvable[email protected] resolved: 83 packagesNo 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 ~liveness-unmeasured -stale-235d
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPI82 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19
No known advisory affects this dependency graph.
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 |
|---|---|---|---|---|
team_memory | pypi | 0.1.2 | – | DATABASE_URL |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.ysydhc/team-memory",
"title": "TeamMemory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.2",
"packages": [
{
"version": "0.1.2",
"transport": {
"type": "stdio"
},
"identifier": "team_memory",
"registryType": "pypi",
"environmentVariables": [
{
"name": "DATABASE_URL",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "PostgreSQL connection string (with pgvector extension)"
},
{
"name": "TEAM_MEMORY_CONFIG",
"format": "string",
"description": "Path to config.yaml (optional)"
}
]
}
],
"repository": {
"url": "https://github.com/ysydhc/team_memory",
"source": "github"
},
"description": "Team experience database - let AI accumulate, retrieve and apply team knowledge across chats."
}