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Civicnet MCP Server

MCP Server

Community‑driven AI for local governance and civic intelligence

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Updated Jun 20, 2025

About

An open‑source, modular Model Context Protocol server that empowers neighborhoods and cities to ingest local data, run agentic AI models, enforce civic principles, and federate securely across nodes. It supports LLM‑agnostic deployment on cloud or edge.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Civicnet MCP Server Dashboard

The Civicnet MCP Server is a modular, principle‑driven hub that empowers local governments and community organizations to host their own AI agents with full ownership of data, logic, and governance. By running as a node within the broader CivicNet/Konstellation grid, it allows each neighborhood or city to ingest municipal datasets—GIS layers, policy documents, public records—and expose them through secure APIs while preserving strict privacy and equity controls. This solves the critical problem of vendor lock‑in and opaque “black box” AI services that often dominate civic technology stacks.

At its core, the server is LLM‑agnostic and can be deployed on any cloud, on‑premises infrastructure, or even edge devices. It abstracts the language model behind a simple interface, letting developers swap between OpenAI, Anthropic, or open‑source alternatives without touching downstream logic. The server’s architecture is split into clear layers: data ingestion and validation, a principle repository that codifies community values (equity, truth‑telling, transparency), modular agentic logic for chain‑of‑thought reasoning, self‑reflection, role simulation, and multi‑agent collaboration, and finally a REST/GraphQL API layer that exposes both raw data and AI‑augmented queries.

Key capabilities include fine‑grained connectors for local GIS, census, and CSV sources; a full audit trail that logs every model step, data source, and output for compliance and red‑team review; simulation tools that enable “what‑if” scenario modeling, participatory budgeting, and policy impact analysis; and a Dockerized deployment stack that simplifies scaling from a single laptop to a distributed edge network. Because every step is logged and governed by a code‑defined principle set, developers can trace bias, ensure privacy, and maintain transparency in every AI interaction.

Real‑world use cases span from city planners running scenario simulations to evaluate zoning changes, to community boards using role‑simulation agents to rehearse public hearings, to local NGOs auditing policy documents for equity gaps. The server’s federation feature lets nodes share insights selectively with trusted partners, creating a collaborative knowledge graph that respects local control while benefiting from broader community expertise. By integrating seamlessly into existing dashboards, GIS clients, and partner APIs, the Civicnet MCP Server offers developers a powerful, principled foundation for building AI tools that truly serve and empower the communities they belong to.