Civic Context MCP

AI systems increasingly answer questions about representation, districts, elections, registration, voting methods, deadlines, public offices, and civic participation. Civic Context MCP is designed to connect those systems with deterministic civic tools and source-visible resources through a consistent protocol interface.

The result is a reusable grounding layer that can reduce repeated integration work while giving AI systems richer evidence, clearer jurisdictional context, and more structured civic answers.

• Resolve Civic Context

  Connect a location or approved geographic input with applicable jurisdictions, districts, offices, and civic relationships.

• Get Districts and Jurisdictions

  Return applicable federal, state, county, municipal, legislative, election, and administrative geography.

• Get Representatives and Offices

  Connect geographic scope with applicable public offices, representatives, terms, and source context.

• Get Election Calendar

  Return structured election-cycle events, important dates, source references, effective dates, and update status.

• Get Registration and Voting Methods

  Provide structured context for registration rules, voting methods, election procedures, and authoritative resources.

• Get Provenance and Correction Status

  Return source, version, retrieval, transformation, evidence, freshness, and correction context connected to the civic response.

• Source Registry

  A structured inventory of authoritative civic sources, ownership, coverage, versions, and operating status.

• Civic Ontology

  Definitions and relationships connecting geography, jurisdictions, districts, offices, officials, elections, and voting systems.

• Version History

  A reviewable record of changes across data, source manifests, schemas, tools, adapters, and releases.

• Correction Ledger

  A structured history of corrections, supersession, review, propagation, and release.

• Methodology

  Public documentation describing how civic information is discovered, normalized, verified, evaluated, and maintained.

• Infrastructure Status

  Machine-readable context describing current coverage, versions, freshness, and operating state.

• Public Civic MCP

  A future public interface for source-visible civic context, official resources, geography, representation, election information, provenance, and corrections.

• Professional Infrastructure

  A future authorized layer for tenant-scoped organizational knowledge, professional research, role-aware workflows, and controlled internal context.

• Shared Civic Core

  Both distribution models are designed to rely on the same canonical civic schema, State Packs, source registry, deterministic tools, and Civic Assurance system.

Documentation, canonical product pages, structured schemas, tool descriptions, resource definitions, source blocks, changelogs, evaluations, and future registry participation create the technical identity required for AI hosts and developers to discover and integrate a civic context system.