mcp/fibery pulls statistics

Fibery MCP Server

Interact with your Fibery workspace.

What is an MCP Server?

MCP Info

Attribute	Details
Docker Image	mcp/fibery
Author	Fibery-inc
Repository	https://github.com/Fibery-inc/fibery-mcp-server

Image Building Info

Attribute	Details
Dockerfile	https://github.com/Fibery-inc/fibery-mcp-server/blob/3d21ca04e771bad91aa2d9799d29ed3583362326/Dockerfile
Commit	3d21ca04e771bad91aa2d9799d29ed3583362326
Docker Image built by	Docker Inc.
Docker Scout Health Score
Verify Signature	COSIGN_REPOSITORY=mcp/signatures cosign verify mcp/fibery --key https://raw.githubusercontent.com/docker/keyring/refs/heads/main/public/mcp/latest.pub
Licence	MIT License

Available Tools (7)

Tools provided by this Server	Short Description
create_entities_batch	Create multiple Fibery entities at once with specified fields.
create_entity	Create Fibery entity with specified fields.
current_date	Get today's date in ISO 8601 format (YYYY-mm-dd.HH:MM:SS.000Z)
describe_database	Get list of all fields (in format of 'Title [name]: type') in the selected Fibery database and for all related databases.
list_databases	Get list of all databases (their names) in user's Fibery workspace (schema)
query_database	Run any Fibery API command.
update_entity	Update Fibery entity with specified fields.

---

Tools Details

Tool: create_entities_batch

Create multiple Fibery entities at once with specified fields. Examples (note, that these databases are non-existent, use databases only from user's schema!): Query: Create some features Tool use: { "database": "Product Management/Feature", "entities": [ { "Product Management/Name": "New Feature 1", "Product Management/Description": "Description of the new feature 1", "workflow/state": "To Do" # notice how we use string literal for workflow field here }, { "Product Management/Name": "New Feature 2", "Product Management/Description": "Description of the new feature 2", "workflow/state": "In Progress" # notice how we use string literal for workflow field here } ] } In case of successful execution, you will get links to created entities. Make sure to give the links to the user.

Parameters	Type	Description
database	string	Fibery Database where entities will be created.
entities	object	List of dictionaries that define what fields to set in format [{"FieldName": value}] (i.e. [{"Product Management/Name": "My new entity"}]).

---

Tool: create_entity

Create Fibery entity with specified fields. Examples (note, that these databases are non-existent, use databases only from user's schema!): Query: Create a feature Tool use: { "database": "Product Management/Feature", "entity": { "Product Management/Name": "New Feature", "Product Management/Description": "Description of the new feature", "workflow/state": "To Do" # notice how we use string literal for workflow field here } } In case of successful execution, you will get a link to created entity. Make sure to give that link to the user.

Parameters	Type	Description
database	string	Fibery Database where to create an entity.
entity	object	Dictionary that defines what fields to set in format {"FieldName": value} (i.e. {"Product Management/Name": "My new entity"}).

---

Tool: current_date

Get today's date in ISO 8601 format (YYYY-mm-dd.HH:MM:SS.000Z)

Tool: describe_database

Get list of all fields (in format of 'Title [name]: type') in the selected Fibery database and for all related databases.

Parameters	Type	Description
database_name	string	Database name as defined in Fibery schema
include_external_databases	boolean optional	Whether to include fields from related/external databases. Defaults to true. Set to false to reduce context size.

---

Tool: list_databases

Get list of all databases (their names) in user's Fibery workspace (schema)

Tool: query_database

Run any Fibery API command. This gives tremendous flexibility, but requires a bit of experience with the low-level Fibery API. In case query succeeded, return value contains a list of records with fields you specified in select. If request failed, will return detailed error message. Examples (note, that these databases are non-existent, use databases only from user's schema!): Query: What newly created Features do we have for the past 2 months? Tool use: { "q_from": "Dev/Feature", "q_select": { "Name": ["Dev/Name"], "Public Id": ["fibery/public-id"], "Creation Date": ["fibery/creation-date"] }, "q_where": [">", ["fibery/creation-date"], "$twoMonthsAgo"], "q_order_by": {"fibery/creation-date": "q/desc"}, "q_limit": 100, "q_offset": 0, "q_params": { $twoMonthsAgo: "2025-01-16T00:00:00.000Z" } }…