Aginera for AI Agents
Aginera gives AI agents construction intelligence.
Turn construction drawings into:
- Quantities and takeoffs
- Measured routes (conduit, duct, pipe, tray)
- Equipment, panel and fixture schedules
- Estimates from extracted scope
Connect
ChatGPT · Claude · any MCP client · REST API
Endpoints
| MCP endpoint | https://mcp.aginera.ai/mcp |
| MCP resource metadata | https://mcp.aginera.ai/.well-known/oauth-protected-resource |
| OAuth authorization server | https://auth.aginera.ai/.well-known/oauth-authorization-server |
| REST API | https://api.aginera.ai/partner/v1 |
| OpenAPI (JSON) | https://api.aginera.ai/partner/openapi/v1.json |
| OpenAPI (YAML) | https://api.aginera.ai/partner/openapi/v1.yaml |
| Agent documentation | https://aginera.ai/docs/developer |
| llms.txt | https://aginera.ai/llms.txt |
What people ask Aginera
- “Take off the electrical scope from this drawing set.”
- “How much conduit is shown on Level 2?”
- “List the panel schedules and their circuit counts.”
- “Compare the 75% drawings with the IFC set.”
- “Generate an estimate from this takeoff.”
How an agent uses Aginera
- The user connects Aginera (OAuth, sign in, choose organization, approve permissions).
- The agent calls
get_capabilitiesto learn what Aginera can do for that account. - The agent finds or adds a drawing set, runs
run_takeoff, pollsget_takeoff, then reads items, routes and schedules. - Results are structured, in canonical units, with page-level evidence and measured geometry.
Billable actions use the account's credits exactly as in the web app. Registered in the MCP Registry as ai.aginera/preconstruction.