Personal Agent Dunbar Relationship Cadence
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Personal Agent Dunbar Relationship CadenceClassify Maya in my Dunbar circles and schedule a reconnection this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-personal-agent-dunbar-relationship-cadence-skill
GenPark Personal Agent Dunbar Relationship Cadence organizes personal contacts into Dunbar's concentric circles, computes relationship half-life decay, and schedules intentional reconnections without social spam.
flowchart TD
A[Personal Contact Log & Closeness Scores] --> B[Dunbar Concentric Layer Classifier]
B --> C[Support Clique 5 / Sympathy 15 / Affinity 50]
D[Days Since Last Meaningful Touchpoint] --> E[Exponential Relationship Half-Life Decay Solver]
E --> F[Warmth & Social Drift Risk Assessment]
F --> G[Weekly Mindful Reconnection Schedule]Features
Dunbar Circle Mapping: Classifies close friends vs broader network according to anthropological Dunbar constraints.
Half-Life Warmth Decay: Models realistic relationship entropy over time without artificial pressure.
Mindful Reconnection Cadence: Schedules authentic touchpoints within user-defined weekly cognitive bandwidth.
Related MCP server: relationship-manager
Quickstart
from client import PersonalAgentDunbarRelationshipCadence
cadence = PersonalAgentDunbarRelationshipCadence()
res = cadence.classify_dunbar_layer_and_cadence("friend_1", 0.90, 14)
print("Warmth Level:", res["relationship_warmth_level"])FastMCP Integration
python -m genpark-personal-agent-dunbar-relationship-cadence-skill.mcp_serverLicense
MIT
This server cannot be deployed
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