Skip to main content

AIND Data MCP Server

License Code Style semantic-release: angular Interrogate Coverage Python

An MCP (Model Context Protocol) server that provides access to AIND (Allen Institute for Neural Dynamics) metadata and data assets through a comprehensive set of tools and resources. This server targets the V2 aind-data-schema format.

Installation

{
    "servers": {
        "aind-data-mcp": {
            "url": "https://metadata-portal.allenneuraldynamics.org/mcp/",
            "type": "http"
        }
    },
    "inputs": []
}

Features

This MCP server provides the following tools:

Data Retrieval & Querying

  • get_records — Query MongoDB collections using filters and projections
  • aggregation_retrieval — Execute complex MongoDB aggregation pipelines
  • count_records — Count documents matching a filter
  • flatten_records — Retrieve and flatten records into dot-notation for easier inspection
  • get_project_names — List all project names in the database
  • get_summary — Generate an AI-powered summary for a specific data asset

Schema Navigation

  • get_top_level_nodes — Explore the top-level fields of the V2 metadata schema
  • get_additional_schema_help — Query-writing guidance for V2 aggregations
  • get_modality_types — List all available data modality names and abbreviations

Schema Examples (one tool per document type)

  • get_acquisition_example, get_data_description_example, get_instrument_example, get_procedures_example, get_subject_example, get_processing_example, get_model_example, get_quality_control_example

NWB File Access

  • identify_nwb_contents_in_code_ocean — Load an NWB file from the /data directory in a Code Ocean capsule
  • identify_nwb_contents_with_s3_link — Load an NWB file from an S3 path

Resources (accessible via the MCP protocol)

  • resource://aind_api — Context and usage patterns for the AIND data access API
  • resource://load_nwbfile — Reference script for loading NWB files

Development

To develop the code, run

uv sync --extra dev

To run tests:

uv run coverage run -m unittest discover && uv run coverage report

To run linting:

uv run flake8 . && uv run interrogate --verbose .

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aind_data_mcp-0.4.6.tar.gz (23.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aind_data_mcp-0.4.6-py3-none-any.whl (21.5 kB view details)

Uploaded Python 3

File details

Details for the file aind_data_mcp-0.4.6.tar.gz.

File metadata

  • Download URL: aind_data_mcp-0.4.6.tar.gz
  • Upload date:
  • Size: 23.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for aind_data_mcp-0.4.6.tar.gz
Algorithm Hash digest
SHA256 9e0885f01d450455042b0d228ce6739cd598102c0a875287e2f778a05e478035
MD5 d244019f440e22bdced2cbd84c34f932
BLAKE2b-256 895caa358fc31917b9cd9b5147465810fd8ae88d92f25fea05e51aabc846a312

See more details on using hashes here.

File details

Details for the file aind_data_mcp-0.4.6-py3-none-any.whl.

File metadata

  • Download URL: aind_data_mcp-0.4.6-py3-none-any.whl
  • Upload date:
  • Size: 21.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for aind_data_mcp-0.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 53b040cfe816f1a7a981932c64d49563e77ca9765c558840abe8db00ca1a9648
MD5 4d7b25f13f35100b1369c4dcbe51da66
BLAKE2b-256 de3e785090f6121e6a43dc33dd000e5515343a4c214e391d8977dadc82028d7d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page