MCP FishBase Server

A Model Context Protocol (MCP) server that provides access to FishBase marine biology data, with n8n integration.

Features

Access to FishBase species data
Ecological information
Distribution/occurrence data
Morphological data
Species name validation
Common name to scientific name conversion

Installation

MCP Server

cd mcp_fishbase
npm install
npm run build
npm run start

n8n Integration

cd n8n-integration
npm install
npm run build

Then install the node package in your n8n instance:

npm install /path/to/n8n-integration

Usage

MCP Tools Available

get_species: Get detailed species information
search_species: Search for species by name
get_ecology: Get ecological data for a species
get_distribution: Get distribution/occurrence data
get_morphology: Get morphological data
validate_species_name: Validate and suggest corrections for species names
common_to_scientific: Convert common names to scientific names
list_tables: List all available FishBase tables

Example Usage in n8n

Add the FishBase node to your workflow
Configure the operation (e.g., "Get Species Info")
Provide the species name (e.g., "Salmo trutta")
Connect to downstream nodes for data processing

Example Species Data

{
  "SpecCode": 1,
  "Genus": "Salmo",
  "Species": "trutta",
  "FBname": "Brown trout",
  "Length": 100,
  "CommonLength": 30,
  "Weight": 17000
}

Development

The MCP server uses mock data for development. In production, you would integrate with the actual FishBase HuggingFace datasets using a proper Parquet parser.

License

MIT

Install Server

HTTP connection URL

security – no known vulnerabilities

license - not found

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Provides access to FishBase marine biology data including species information, ecological data, distribution records, and morphological details. Enables species name validation and conversion between common and scientific names through natural language queries.

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