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eo-processor-mcp

by BnJam
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eo-processor-mcp

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An MCP (Model Context Protocol) server for Earth Observation processing, powered by eo-processor.

Similar to stac-mcp for STAC catalog operations, this server exposes eo-processor's high-performance Rust-accelerated EO computation functions as MCP tools that AI agents can invoke.

Features

  • 15 MCP tools covering spectral indices, change detection, temporal statistics, masking, morphology, distances, trend analysis, classification, texture features, zonal statistics, and more

  • Rust-accelerated computation via eo-processor's PyO3 bindings (GIL-released, multi-core parallel)

  • stdio and HTTP transport support

  • Observability built in (structured logging, metrics, correlation IDs, latency histograms)

  • Prompts to guide AI agents in using the tools effectively

Related MCP server: Google Earth Engine MCP Server

Tools

Tool

Description

compute_spectral_index

Compute spectral indices (NDVI, NDWI, EVI, SAVI, etc.) from band .npy files

compute_change_index

Change detection (delta_ndvi, delta_nbr, dnbr, rbr) from pre/post imagery

temporal_statistics

Median, mean, std, sum along the time axis

temporal_composite

Weighted temporal composite of 4D arrays

moving_average

Moving average with optional stride/downsampling

apply_mask

Unified masking (by values, range, SCL, NaN replacement)

morphological_operation

Binary dilation, erosion, opening, closing

compute_distances

Pairwise distances (euclidean, manhattan, chebyshev, minkowski)

analyze_trends

Linear regression and trend analysis with break detection

bfast_monitor

BFAST Monitor change detection on time series

classify

Random Forest train/predict, complex multi-band classification

texture_features

Haralick/GLCM texture features

zonal_statistics

Zonal statistics (count, sum, mean, min, max, std per zone)

pixelwise_transform

Linear transform with optional clamping

list_capabilities

List all available indices, operations, and tools

Installation

pip install -e .
# or with uv
uv pip install -e .

Usage

stdio (default)

eo-processor-mcp
# or
python -m eo_processor_mcp

HTTP/SSE

EO_PROCESSOR_MCP_TRANSPORT=http python -m eo_processor_mcp

MCP Client Configuration

{
  "eo-processor": {
    "command": "uvx",
    "args": ["--from", "git+https://github.com/BnJam/eo-processor-mcp", "eo-processor-mcp"],
    "transport": "stdio"
  }
}

Data Format

All tools accept NumPy .npy file paths as input and write results to .npy files. Tool responses include:

  • output_path: Path to the result .npy file

  • stats: Summary statistics (shape, dtype, min, max, mean, std, NaN count)

Environment Variables

Variable

Default

Purpose

EO_PROCESSOR_MCP_TRANSPORT

stdio

Transport mode (stdio, http, streamable-http, sse)

EO_PROCESSOR_MCP_HOST

127.0.0.1

HTTP host

EO_PROCESSOR_MCP_PORT

8000

HTTP port

EO_PROCESSOR_MCP_LOG_LEVEL

WARNING

Logging level

EO_PROCESSOR_MCP_LOG_FORMAT

text

Log format (text or json)

EO_PROCESSOR_MCP_ENABLE_METRICS

true

Enable in-process metrics

EO_PROCESSOR_MCP_ENABLE_TRACE

false

Enable trace span logging

Development

make install-dev    # Install with dev dependencies
make test           # Run tests
make lint           # Run ruff
make format         # Auto-format
make coverage       # Coverage report

License

Apache-2.0

This server cannot be installed

A
license - permissive license
-
quality - not tested
A
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
1Releases (12mo)
Commit activity

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