Admina MCP Server
Enables interaction with the Admina API to manage and query organizational SaaS resources including devices, user identities, service integrations, and account information across multiple services.
README
admina-mcp-server
MCP server for the Admina API.
Tools and API Documentation
- get_devices: Return a list of devices. Get Devices API
- get_identities: Return a list of identities. Get Identities API
- get_services: Return a list of services integrations that belongs to organization along with a preview of accounts. Organization Services API
- get_service_accounts: Return a list of accounts for a specific service. Get Service Accounts API
- get_people_accounts: Return a list of all SaaS accounts belonging to a person. Get People Accounts API
Configuration
To configure the admina-mcp-server, you will need the organizationId and an API key. For more details on obtaining your API key, please refer to the Getting Started Guide.
MCP Client Configuration
To configure this MCP server, add the following configuration to your mcp settings.
{
"mcpServers": {
"admina-mpc-server": {
"command": "npx",
"args": [
"-y",
"@moneyforward_i/admina-mcp-server"
],
"env": {
"ADMINA_ORGANIZATION_ID": <Organization Id>,
"ADMINA_API_KEY": <API Key>
}
}
}
}
For local set up, run yarn build:dev and set the path to the root dir.
Releasing
Preparing a release
- Bump up a package version of
package.json. A Git commit will be created automatically.
yarn version --new-version <new version>
- Push the change to the main branch as usual.
Creating a release
- Create a new release in GitHub by clicking on "Releases" and then "Draft a new release"
- Set the Tag version to a new tag
- Set the Target as main.
- Set the Release title to the tag you created, vX.Y.Z
- Click "Publish release" to save and publish your release.
- GitHub Actions workflow will be triggerd by publishing a new release and the package will be released.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.