Seed MCP Server

Seed MCP Server

Enables creating and inspecting Seed tables and relationships through the Seed backend HTTP API.

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README

Seed MCP Server

MCP server for creating and inspecting Seed tables and relationships through the existing seed-backend HTTP API.

Setup

npm install
npm run build

Configuration

Set either an access token:

SEED_API_BASE=http://localhost:3007
SEED_ACCESS_TOKEN=...

Or login credentials:

SEED_API_BASE=http://localhost:3007
SEED_ORG=visual-sql
SEED_EMAIL=admin@admin.com
SEED_PASSWORD=admin

For organization listing, set a Maint token or Maint password:

SEED_MAINT_ACCESS_TOKEN=...
# or
SEED_MAINT_PASSWORD=...

Run

npm start

Tools

  • seed_get_access_token
  • seed_list_orgs
  • seed_register_org
  • seed_create_org
  • seed_update_org
  • seed_delete_org
  • seed_list_tables
  • seed_get_table
  • seed_create_table
  • seed_add_relationship
  • seed_list_frames
  • seed_get_frame
  • seed_create_frame
  • seed_update_frame
  • seed_delete_frames
  • seed_list_views
  • seed_get_view
  • seed_create_view
  • seed_update_view
  • seed_delete_views
  • seed_list_documents
  • seed_add_documents
  • seed_add_mock_data
  • seed_delete_documents
  • seed_grant_permission

seed_get_access_token

Get a Seed API access token for either a regular organization user or Maint. The MCP server prompts for credentials through the client instead of accepting them as tool arguments.

User token:

{ "type": "user" }

Maint token:

{ "type": "maint" }

seed_grant_permission

Grant a role access to a table/resource by creating a row in permissions and linking it to the role.

{
  "resourceId": "accounts",
  "access": 15,
  "roleName": "admin"
}

Access bitmask: create 1, read 2, update 4, delete 8, full CRUD 15.

seed_create_frame

Create a frame on top of an existing table. Frames select the fields and relations that a view can render.

{
  "name": "accounts_frame",
  "table": "accounts",
  "label": "Accounts",
  "fields": [
    { "name": "name", "type": "string", "label": "Name" },
    { "name": "accountType", "type": "enum", "label": "Account Type" }
  ],
  "relations": []
}

Optional filter/order inputs are JSON strings: fieldFiltersJson, fieldOrderJson, and relationFiltersJson.

For user-scoped frames, use relationFiltersJson with Seed's current-user sentinel. The backend treats "___current___" as the logged-in user's email when the dot-walk path ends at a related users.email field. The path uses Seed's generated join table name:

{
  "relationFiltersJson": "{\"[Op.and]\":[{\"users_contacts_user.email\":{\"[Op.like]\":\"___current___\"}}]}"
}

Join table names are generated as <lexicographically larger table>_<lexicographically smaller table>_<relationName>. For example, a contacts.user -> users relation uses users_contacts_user.email, while voice_notes.user -> users uses voice_notes_users_user.email.

seed_create_view

Create a view on top of an existing frame.

{
  "name": "accounts_web_view",
  "frame": "accounts_frame",
  "label": "Accounts",
  "layoutJson": "{\"device\":\"web\",\"group\":\"CRM\",\"list\":{\"type\":\"default\"}}"
}

Optional role inputs are JSON strings: viewRolesJson and editRolesJson.

seed_list_documents

List documents from a table, usually to inspect data or find ids for relations.

{
  "tableName": "accounts",
  "pageNumber": 0,
  "pageSize": 25
}

seed_add_documents

Add exact Seed document payloads. Use this when rows include relations.

{
  "tableName": "contacts",
  "documents": [
    {
      "fields": {
        "firstName": "Avery",
        "lastName": "Stone",
        "email": "avery@example.com"
      },
      "relations": {
        "account": {
          "type": "OneToOne",
          "table": "accounts",
          "id": "1"
        }
      }
    }
  ]
}

seed_add_mock_data

Add simple field-only mock rows. Use seed_add_documents when you need relations.

{
  "tableName": "accounts",
  "rows": [
    {
      "name": "Horizon Capital",
      "accountType": "Company",
      "vertical": "Dealmakers"
    }
  ]
}

seed_delete_documents

Delete documents by id. Useful for cleaning up generated mock data.

{
  "tableName": "accounts",
  "documentIds": ["1", "2"]
}

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