mcp · Global

metashape-mcp

AI-powered photogrammetry automation — MCP server for Agisoft Metashape Professional 2.3+. Control the full pipeline (alignment, dense cloud, mesh, texture, DEM, orthomosaic, export) using natural language through Claude or any MCP-compatible AI assistant.

Visit source ↗GitHub repository ↗

Claim this listing

Represent metashape-mcp? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Explore paid sponsorship →

What's in it

Data offered docs-verified: DEM generation · orthomosaic creation · dense point cloud · ground classification · mesh generation · texture mapping · contour lines · GCP and coded-marker workflows · CRS/EPSG coordinate setting and reprojection
Coverage llm-inferred: Global
Formats docs-verified: OBJ · PLY · FBX · LAS · LAZ · GeoTIFF · Cesium 3D Tiles · MCP streamable HTTP · MCP stdio
Access docs-verified: MIT licence (free software); requires an Agisoft Metashape Professional 2.3+ installation with Python 3.12 scripting; no credentials documented

Useful for

Use cases llm-inferred: DEM and orthomosaic production from drone survey photos for site topographic baselines · Ground-classified point clouds and surface models from UAV photogrammetry for earthworks or cut-fill inputs · Survey-grade models controlled with ground control points and coded markers · Batch export of DEM, orthomosaic and point cloud deliverables as GeoTIFF or LAZ for GIS and BIM handover
Audience llm-inferred: drone survey and photogrammetry consultants · GIS analysts · civils and BIM engineers · terrain and heritage 3D modellers

Limitations

Constraints llm-inferred: Runs inside a licensed desktop Metashape Professional 2.3+ session; not a standalone data source · Viewport and screenshot tools are unavailable in headless mode · Direct HTTP connection from Claude Code times out after about 60 seconds; the stdio proxy is needed for long jobs and requires a separate FastMCP install · ENTRY tool names (aerial_survey_pipeline, close_range_pipeline, batch_export, diagnose_alignment, optimize_quality_settings) match the docs' guided workflow prompts, not documented callable tools · Tool argument schemas are not documented in the DOCS text · No credentials documented in README; the Metashape licence is separate from the MIT-licensed server

Licence: MIT
Authentication: No credentials documented in README
GitHub stars: 34
Last commit: 07/05/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search