Documentation

VFB APIs

All available VFB APIs and underlying schemas.

VFB provides access to its data through several APIs and databases. The core data infrastructure consists of Neo4j graph databases that store integrated neuroanatomical data, complemented by OWL reasoning services for advanced ontological queries and SOLR search for fast text-based queries.

User Access Options

For Regular Users (GUI Access):

For AI Assistants and LLM Agents:

For Programmatic Access:

For LLMs and AI assistants:

  • VFB MCP server: https://vfb3-mcp.virtualflybrain.org - a Model Context Protocol server that gives Claude, GitHub Copilot and other MCP clients direct, tool-based access to VFB terms, images, connectivity and expression data. No installation, API key or account is needed:

    claude mcp add --transport http virtual-fly-brain https://vfb3-mcp.virtualflybrain.org
    

    Source code and client configuration for other assistants: VirtualFlyBrain/VFB3-MCP. Worked examples: VFB MCP tool guide.

For Advanced Data Access:

  • Direct APIs (documented below): Low-level access to underlying databases and reasoning services

Important Notes

These API documentations describe the schemas used for data storage and basic interfaces. Most VFB queries are constructed from combined query chains that integrate multiple services (Neo4j, OWL reasoning, SOLR search) rather than single API calls. For details on how queries are orchestrated, see the VFB query chains documentation.

The APIs documented here are intended for:

  • Advanced users needing direct database access
  • Developers building custom tools or integrations
  • Researchers requiring low-level data access for specialized analyses

For most use cases, we recommend starting with the VFBconnect library or the web interface.