Version 4.43 or later needs to be installed to add the server automatically
Use cases
About
Interact with your Fibery workspace.
Attribute | Details |
---|---|
Docker Image | mcp/fibery |
Author | Fibery-inc |
Repository | https://github.com/Fibery-inc/fibery-mcp-server |
Dockerfile | https://github.com/Fibery-inc/fibery-mcp-server/blob/main/Dockerfile |
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 |
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. |
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"}]). |
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"}). |
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.
Parameters | Type | Description |
---|---|---|
database_name | string | Database name as defined in Fibery schema |
list_databases
Get list of all databases (their names) in user's Fibery workspace (schema)
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": { $twoMonthsAgo: "2025-01-16T00:00:00.000Z" } }
Query: What Admin Tasks for the past week are Approval or Done? Tool use: { "q_from": "Administrative/Admin Task", "q_select": { "Name": ["Administrative/Name"], "Public Id": ["fibery/public-id"], "Creation Date": ["fibery/creation-date"], "State": ["workflow/state", "enum/name"] }, "q_where": [ "q/and", # satisfy time AND states condition [">", ["fibery/creation-date"], "$oneWeekAgo"], [ "q/or", # nested or, since entity can be in either of these states ["=", ["workflow/state", "enum/name"], "$state1"], ["=", ["workflow/state", "enum/name"], "$state2"] ] ], "q_order_by": {"fibery/creation-date": "q/desc"}, "q_limit": 100, "q_offset": 0, "q_params": { # notice that parameters used in "where" are always passed in params! $oneWeekAgo: "2025-03-07T00:00:00.000Z", $state1: "Approval", $state2: "Done" } }
Query: What Admin Tasks for the past week are Approval or Done? Tool use: { "q_from": "Administrative/Admin Task", "q_select": { "State": ["workflow/state", "enum/name"], "Public Id": ["fibery/public-id"], "Creation Date": ["fibery/creation-date"], "Modification Date": ["fibery/modification-date"], "Deadline": ["Administrative/Deadline"], "Group": ["Administrative/Group", "Administrative/name"], "Name": ["Administrative/Name"], "Priority": ["Administrative/Priority_Administrative/Admin Task", "enum/name"] }, "q_where": ["!=", ["workflow/state", "workflow/Final"], "$stateType"], # Administrative/Admin Task is not "Finished" yet "q_order_by": {"fibery/creation-date": "q/desc"}, "q_limit": 100, "q_offset": 0, "q_params: { "$stateType": true } }
Query: Summarize acc contacts with public id 1. Tool use: { "q_from": "Accounting/Acc Contacts", "q_select": { "Name": ["Accounting/Name"], "Public Id": ["fibery/public-id"], "Creation Date": ["fibery/creation-date"], "Description": ["Accounting/Description"] }, "q_where": ["=", ["fibery/public-id"], "$publicId"], "q_limit": 1, "q_params": { $publicId: "1", } }
Parameters | Type | Description |
---|---|---|
q_from | string | Specifies the entity type in "Space/Type" format (e.g., "Product Management/feature", "Product Management/Insight") |
q_select | object | Defines what fields to retrieve. Can include: |
q_limit
|integer
optional|Number of results per page (defaults to 50). Maximum allowed value is 1000
q_offset
|integer
optional|Number of results to skip. Mainly used in combination with limit and orderBy for pagination.
q_order_by
|object
optional|List of sorting criteria in format {"field1": "q/asc", "field2": "q/desc"}
q_params
|object
optional|Dictionary of parameter values referenced in where using "$param" syntax. For example, {$fromDate: "2025-01-01"}
q_where
|object
optional|Filter conditions in format [operator, [field_path], value] or ["q/and"|"q/or", ...conditions]. Common usages:update_entity
Update Fibery entity with specified fields. Examples (note, that these databases are non-existent, use databases only from user's schema!): Query: Update a feature we talked about Tool use: { "database": "Product Management/Feature", "entity": { "fibery/id": "12345678-1234-5678-1234-567812345678", "Product Management/Name": "New Feature 2", "Product Management/Description": {"append": true, "content": "Notes: some notes"}, "workflow/state": "In Progress" } } In case of successful execution, you will get a link to updated entity. Make sure to give that link to the user.
Parameters | Type | Description |
---|---|---|
database | string | Fibery Database where to update an entity. |
entity | object | Dictionary that defines what fields to set in format {"FieldName": value} (i.e. {"Product Management/Name": "My new entity"}). |
Exception are document fields. For them you must specify append (boolean, whether to append to current content) and content itself: {"Product Management/Description": {"append": true, "content": "Additional info"}} |
{
"mcpServers": {
"fibery": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"FIBERY_HOST",
"-e",
"FIBERY_API_TOKEN",
"mcp/fibery"
],
"env": {
"FIBERY_HOST": "your-domain.fibery.io",
"FIBERY_API_TOKEN": "your-api-token"
}
}
}
}
Manual installation
You can install the MCP server using:
Installation for