[{"_1":2,"_298":-5,"_299":-5},"loaderData",{"_3":4,"_29":30,"_31":32,"_247":248},"root",{"_5":6,"_14":15},"toasts",[7],{"_8":9,"_10":11,"_12":13},"uid","01986835-362a-7335-8c36-0b6c439df4c2","title","You need to sign in to access this page","type","error","visitor",{"_16":17,"_18":19},"viewportWidth",1280,"visitorSession",{"_20":21,"_23":24,"_25":-5,"_26":27,"_28":-5},"attributes",[22],"bot","id",10028015,"membership","referenceId","019859fa-414d-7358-8190-8f91b3485a15","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_33":34,"_83":-5,"_84":47,"_36":85,"_165":166,"_246":135},"availableLocales",[35,47,53,59,65,71,77],{"_36":37,"_40":44,"_45":46},"mcpServer",{"_38":39,"_40":41,"_42":43},"description","Integrieren Sie den MCP-Server für Mifos X, eine Open-Source-Kernbanklösung für Finanzinstitute. Nützlich für die Verwaltung von Kunden, Krediten, Ersparnissen, Aktien, Finanztransaktionen und die Erstellung von Finanzberichten.","name","mcp-mifosx","readme","# Mifos X – KI – Model Context Protocol (MCP) für Apache Fineract®\n\nDieses Projekt bietet Model Context Protocol (MCP)-Server für die Interaktion mit der Apache Fineract API und ermöglicht KI-Agenten den Zugriff auf Finanzdaten und -vorgänge. Implementierungen sind in **Python** , **Java (Quarkus)** und **Node.js** verfügbar.\n\n***\n\n## MCP-Entwicklertools\n\nVerwenden Sie den **MCP Inspector,** um Ihren Server zu testen und zu debuggen:\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nDadurch wird eine lokale Web-Benutzeroberfläche gestartet, um über STDIO oder SSE eine Verbindung zu Ihrem MCP-Server herzustellen.\n\n***\n\n## Erste Schritte\n\n### 1. Wählen Sie Ihre Implementierung\n\n#### **Python (Flask)**\n\n**Voraussetzungen** : Python 3.8+, `flask` , `mcp.server.fastmcp`\n\n**Schritte** :\n\n1. Installieren Sie Abhängigkeiten:\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **Hinweis für Zsh-Benutzer** : Wenn Sie Zsh verwenden, achten Sie darauf, Extras in Anführungszeichen zu setzen, um Shell-Erweiterungsfehler zu vermeiden:\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. Führen Sie den Server aus:\n\n ```bash\n mcp dev app.py\n ```\n\n#### **Java (Quarkus)**\n\n**Voraussetzungen** : JDK 17+, Maven\n\n**Schritte** :\n\n1. Konfigurieren Sie Umgebungsvariablen in Ihrer Shell oder IDE:\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. Über JBang ausführen (für schnelle Ausführung):\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. (Optional) Erstellen Sie eine native ausführbare Datei:\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n\n**Voraussetzungen** : Node.js 16+, npm\n\n**Schritte** :\n\n1. Installieren Sie Abhängigkeiten:\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. Konfigurieren Sie Umgebungsvariablen in `.env` :\n\n ```bash\n cp .env.example .env\n ```\n\n3. Führen Sie den Server aus:\n\n ```bash\n npm run dev\n ```\n\n4. Testen Sie mit dem integrierten `inspect` :\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## Konfiguration\n\nAlle Implementierungen erfordern die folgenden Umgebungsvariablen:\n\n| Variable | Beschreibung |\n| --------------------------- | --------------------------------------- |\n| `FINERACT_BASE_URL` | Basis-URL Ihrer Fineract-Instanz |\n| `FINERACT_BASIC_AUTH_TOKEN` | API-Authentifizierungstoken |\n| `FINERACT_TENANT_ID` | Mandantenkennung (Standard: `default` ) |\n\n**Hinweis** : Java verwendet Variablen mit dem Präfix `MIFOSX_` (z. B. `MIFOSX_BASE_URL` ).\n\n***\n\n## Verfügbare Ressourcen\n\nDer MCP-Server stellt diese Ressourcen bereit:\n\n### Kernressourcen\n\n* `fineract://clients`\\\n Alle Clients auflisten\n* `fineract://clients/{clientId}`\\\n Details zu einem bestimmten Kunden abrufen\n* `fineract://loans`\\\n Alle Kredite auflisten\n* `fineract://loans/{loanId}`\\\n Details zu einem bestimmten Darlehen erhalten\n\n### Werkzeuge\n\n* `search_clients`\\\n Suchen Sie nach Kunden nach Namen/Attributen\n* `create_client`\\\n Einen neuen Client erstellen (nur Node.js/Python)\n* `update_loan_status`\\\n Kreditstatus aktualisieren (nur Java/Python)\n\n***\n\n## Erstellen nativer ausführbarer Dateien (nur Java)\n\nErstellen Sie für Java (Quarkus) eine native ausführbare Datei:\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## Testen mit MCP Inspector\n\n1. Starten Sie Ihren MCP-Server (Python/Java/Node.js).\n\n2. Führen Sie den Inspektor aus:\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. Stellen Sie mithilfe des `STDIO` -Transports eine Verbindung zum Server her.\n\n***\n\n## Beitragen\n\n* **Python** : Ändern Sie `python/app.py` und `server.js` für neue Ressourcen.\n* **Java** : Erweitern Sie `src/main/java/org/mifos/community/ai/...` für neue Endpunkte.\n* **Node.js** : Aktualisieren Sie `nodejs/src/server.js` und fügen Sie Zod-Schemas zur Validierung hinzu.\n\n***\n\n## Kontakt\n\n* Apache Fineract-Community: \n* MCP-Spezifikation: \n\n***\n\n## Anleitungen\n\n* **Java/Quarkus** : [Quarkus MCP-Handbuch](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** : Verwenden Sie `npm run inspect` zum Live-Neuladen\n* **Python** : Mit `python app.py` ausführen und `.env` konfigurieren\n\n***\n\n### Hauptmerkmale:\n\n* **Standardisierter API-Zugriff** über `fineract://` URIs\n* **MCP-kompatibel** mit STDIO/SSE-Transporten\n* **Umgebungsunabhängige** Konfiguration","German","tag","de-DE",{"_36":48,"_40":51,"_45":52},{"_38":49,"_40":41,"_42":50},"Integrate the MCP Server for Mifos X an Open Source Core Banking Solution for Financial Institutions. Useful for managing clients, loans, savings, shares, financial transactions and generating financial reports.","# Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®\n\nThis project provides Model Context Protocol (MCP) servers for interacting with the Apache Fineract API, enabling AI agents to access financial data and operations. Implementations are available in **Python**, **Java (Quarkus)**, and **Node.js**.\n\n---\n\n## MCP Developer Tools\n\nUse the **MCP Inspector** to test and debug your server:\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nThis starts a local web UI to connect to your MCP server via STDIO or SSE.\n\n---\n\n## Getting Started\n\n### 1. Choose Your Implementation\n\n#### **Python (Flask)**\n**Prerequisites**: Python 3.8+, `flask`, `mcp.server.fastmcp`\n\n**Steps**:\n1. Install dependencies:\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **Note for zsh users**: If you're using zsh, be sure to quote extras to avoid shell expansion errors:\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n2. Run the server:\n ```bash\n mcp dev app.py\n ```\n\n#### **Java (Quarkus)**\n**Prerequisites**: JDK 17+, Maven\n\n**Steps**:\n1. Configure environment variables in your shell or IDE:\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n2. Run via JBang (for quick execution):\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n3. (Optional) Build a native executable:\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n**Prerequisites**: Node.js 16+, npm\n\n**Steps**:\n1. Install dependencies:\n ```bash\n cd nodejs && npm install\n ```\n2. Configure environment variables in `.env`:\n ```bash\n cp .env.example .env\n ```\n3. Run the server:\n ```bash\n npm run dev\n ```\n4. Test with the built-in `inspect` script:\n ```bash\n npm run inspect\n ```\n\n---\n\n## Configuration\n\nAll implementations require the following environment variables:\n\n| Variable | Description |\n|------------------------|--------------------------------------|\n| `FINERACT_BASE_URL` | Base URL of your Fineract instance |\n| `FINERACT_BASIC_AUTH_TOKEN` | API authentication token |\n| `FINERACT_TENANT_ID` | Tenant identifier (default: `default`) |\n\n**Note**: Java uses `MIFOSX_` prefixed variables (e.g., `MIFOSX_BASE_URL`).\n\n---\n\n## Available Resources\n\nThe MCP server exposes these resources:\n\n### Core Resources\n- `fineract://clients` \n List all clients\n- `fineract://clients/{clientId}` \n Get details for a specific client\n- `fineract://loans` \n List all loans\n- `fineract://loans/{loanId}` \n Get details for a specific loan\n\n### Tools\n- `search_clients` \n Search clients by name/attributes\n- `create_client` \n Create a new client (Node.js/Python only)\n- `update_loan_status` \n Update loan status (Java/Python only)\n\n---\n\n## Building Native Executables (Java Only)\n\nFor Java (Quarkus), create a native executable:\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n---\n\n## Testing with MCP Inspector\n\n1. Start your MCP server (Python/Java/Node.js).\n2. Run the inspector:\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n3. Connect to the server using the `STDIO` transport.\n\n---\n\n## Contributing\n\n- **Python**: Modify `python/app.py` and `server.js` for new resources.\n- **Java**: Extend `src/main/java/org/mifos/community/ai/...` for new endpoints.\n- **Node.js**: Update `nodejs/src/server.js` and add Zod schemas for validation.\n\n---\n\n## Contact\n\n- Apache Fineract Community: [https://community.apache.org/](https://community.apache.org/)\n- MCP Specification: [https://modelcontextprotocol.org](https://modelcontextprotocol.org)\n\n---\n\n## Guides\n\n- **Java/Quarkus**: [Quarkus MCP Guide](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n- **Node.js**: Use `npm run inspect` for live reloading\n- **Python**: Run with `python app.py` and configure `.env`\n\n---\n\n\n### Key Features:\n- **Standardized API access** via `fineract://` URIs\n- **MCP-compliant** with STDIO/SSE transports\n- **Environment-agnostic** configuration\n\n","English","en-US",{"_36":54,"_40":57,"_45":58},{"_38":55,"_40":41,"_42":56},"Integre el servidor MCP para Mifos X, una solución de core bancario de código abierto para instituciones financieras. Útil para gestionar clientes, préstamos, ahorros, acciones, transacciones financieras y generar informes financieros.","# Mifos X - IA - Protocolo de contexto de modelo (MCP) para Apache Fineract®\n\nEste proyecto proporciona servidores de Protocolo de Contexto de Modelo (MCP) para interactuar con la API de Apache Fineract, lo que permite a los agentes de IA acceder a datos y operaciones financieras. Las implementaciones están disponibles en **Python** , **Java (Quarkus)** y **Node.js.**\n\n***\n\n## Herramientas para desarrolladores de MCP\n\nUtilice el **Inspector MCP** para probar y depurar su servidor:\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nEsto inicia una interfaz de usuario web local para conectarse a su servidor MCP a través de STDIO o SSE.\n\n***\n\n## Empezando\n\n### 1. Elija su implementación\n\n#### **Python (Flask)**\n\n**Prerrequisitos** : Python 3.8+, `flask` , `mcp.server.fastmcp`\n\n**Pasos** :\n\n1. Instalar dependencias:\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **Nota para los usuarios de zsh** : si usa zsh, asegúrese de citar los extras para evitar errores de expansión de shell:\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. Ejecutar el servidor:\n\n ```bash\n mcp dev app.py\n ```\n\n#### **Java (Quarkus)**\n\n**Prerrequisitos** : JDK 17+, Maven\n\n**Pasos** :\n\n1. Configure las variables de entorno en su shell o IDE:\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. Ejecutar a través de JBang (para una ejecución rápida):\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. (Opcional) Construya un ejecutable nativo:\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n\n**Prerrequisitos** : Node.js 16+, npm\n\n**Pasos** :\n\n1. Instalar dependencias:\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. Configurar variables de entorno en `.env` :\n\n ```bash\n cp .env.example .env\n ```\n\n3. Ejecutar el servidor:\n\n ```bash\n npm run dev\n ```\n\n4. Prueba con el script `inspect` incorporado:\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## Configuración\n\nTodas las implementaciones requieren las siguientes variables de entorno:\n\n| Variable | Descripción |\n| --------------------------- | ------------------------------------------------------- |\n| `FINERACT_BASE_URL` | URL base de su instancia de Fineract |\n| `FINERACT_BASIC_AUTH_TOKEN` | Token de autenticación de API |\n| `FINERACT_TENANT_ID` | Identificador de inquilino (predeterminado: `default` ) |\n\n**Nota** : Java utiliza variables con prefijo `MIFOSX_` (por ejemplo, `MIFOSX_BASE_URL` ).\n\n***\n\n## Recursos disponibles\n\nEl servidor MCP expone estos recursos:\n\n### Recursos básicos\n\n* `fineract://clients`\\\n Listar todos los clientes\n* `fineract://clients/{clientId}`\\\n Obtener detalles de un cliente específico\n* `fineract://loans`\\\n Listar todos los préstamos\n* `fineract://loans/{loanId}`\\\n Obtenga detalles de un préstamo específico\n\n### Herramientas\n\n* `search_clients`\\\n Buscar clientes por nombre/atributos\n* `create_client`\\\n Crear un nuevo cliente (solo Node.js/Python)\n* `update_loan_status`\\\n Actualizar el estado del préstamo (solo Java/Python)\n\n***\n\n## Creación de ejecutables nativos (solo Java)\n\nPara Java (Quarkus), cree un ejecutable nativo:\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## Pruebas con MCP Inspector\n\n1. Inicie su servidor MCP (Python/Java/Node.js).\n\n2. Ejecute el inspector:\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. Conéctese al servidor utilizando el transporte `STDIO` .\n\n***\n\n## Contribuyendo\n\n* **Python** : modificar `python/app.py` y `server.js` para nuevos recursos.\n* **Java** : ampliar `src/main/java/org/mifos/community/ai/...` para nuevos puntos finales.\n* **Node.js** : actualice `nodejs/src/server.js` y agregue esquemas Zod para la validación.\n\n***\n\n## Contacto\n\n* Comunidad Apache Fineract: \n* Especificación MCP: \n\n***\n\n## Guías\n\n* **Java/Quarkus** : [Guía de Quarkus MCP](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** : utilice `npm run inspect` para la recarga en vivo\n* **Python** : Ejecute con `python app.py` y configure `.env`\n\n***\n\n### Características principales:\n\n* **Acceso a API estandarizado** a través de URI `fineract://`\n* **Compatible con MCP** con transportes STDIO/SSE\n* Configuración **independiente del entorno**","Spanish","es-ES",{"_36":60,"_40":63,"_45":64},{"_38":61,"_40":41,"_42":62},"金融機関向けオープンソースのコアバンキングソリューションであるMifos XにMCPサーバーを統合します。顧客、ローン、貯蓄、株式、金融取引の管理、財務レポートの作成に役立ちます。","# Mifos X - AI - Apache Fineract® 向けモデルコンテキストプロトコル (MCP)\n\nこのプロジェクトは、Apache Fineract APIと連携するためのモデルコンテキストプロトコル（MCP）サーバーを提供し、AIエージェントが金融データや金融業務にアクセスできるようにします。実装は**Python** 、 **Java（Quarkus）** 、 **Node.js**で利用可能です。\n\n***\n\n## MCP 開発者ツール\n\n**MCP Inspector**を使用してサーバーをテストおよびデバッグします。\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nこれにより、STDIO または SSE 経由で MCP サーバーに接続するためのローカル Web UI が起動します。\n\n***\n\n## はじめる\n\n### 1. 実装を選択する\n\n#### **Python（Flask）**\n\n**前提条件**: Python 3.8+、 `flask` 、 `mcp.server.fastmcp`\n\n**手順**:\n\n1. 依存関係をインストールします:\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **zsh ユーザーへの注意**: zsh を使用している場合は、シェル拡張エラーを回避するために、必ず extras を引用符で囲んでください。\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. サーバーを実行します。\n\n ```bash\n mcp dev app.py\n ```\n\n#### **Java（Quarkus）**\n\n**前提条件**: JDK 17+、Maven\n\n**手順**:\n\n1. シェルまたは IDE で環境変数を設定します。\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. JBang 経由で実行 (クイック実行の場合):\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. (オプション) ネイティブ実行可能ファイルをビルドします。\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n\n**前提条件**: Node.js 16以上、npm\n\n**手順**:\n\n1. 依存関係をインストールします:\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. `.env`で環境変数を設定します。\n\n ```bash\n cp .env.example .env\n ```\n\n3. サーバーを実行します。\n\n ```bash\n npm run dev\n ```\n\n4. 組み込みの`inspect`スクリプトでテストします。\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## 構成\n\nすべての実装には次の環境変数が必要です。\n\n| 変数 | 説明 |\n| --------------------------- | -------------------------- |\n| `FINERACT_BASE_URL` | Fineract インスタンスのベース URL |\n| `FINERACT_BASIC_AUTH_TOKEN` | API認証トークン |\n| `FINERACT_TENANT_ID` | テナント識別子（デフォルト： `default` ） |\n\n**注意**: Java は`MIFOSX_`プレフィックスが付いた変数 (例: `MIFOSX_BASE_URL` ) を使用します。\n\n***\n\n## 利用可能なリソース\n\nMCP サーバーは次のリソースを公開します。\n\n### コアリソース\n\n* `fineract://clients`\\\n すべてのクライアントを一覧表示する\n* `fineract://clients/{clientId}`\\\n 特定のクライアントの詳細を取得する\n* `fineract://loans`\\\n すべてのローンを一覧表示する\n* `fineract://loans/{loanId}`\\\n 特定のローンの詳細を取得する\n\n### ツール\n\n* `search_clients`\\\n 名前/属性でクライアントを検索\n* `create_client`\\\n 新しいクライアントを作成する（Node.js/Python のみ）\n* `update_loan_status`\\\n ローンステータスの更新（Java/Python のみ）\n\n***\n\n## ネイティブ実行ファイルの構築（Java のみ）\n\nJava (Quarkus) の場合、ネイティブ実行可能ファイルを作成します。\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## MCP Inspectorによるテスト\n\n1. MCP サーバー (Python/Java/Node.js) を起動します。\n\n2. インスペクターを実行します:\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. `STDIO`トランスポートを使用してサーバーに接続します。\n\n***\n\n## 貢献\n\n* **Python** : 新しいリソースに合わせて`python/app.py`と`server.js`変更します。\n* **Java** : 新しいエンドポイント用に`src/main/java/org/mifos/community/ai/...`を拡張します。\n* **Node.js** : `nodejs/src/server.js`を更新し、検証用の Zod スキーマを追加します。\n\n***\n\n## 接触\n\n* Apache Fineract コミュニティ: \n* MCP 仕様: \n\n***\n\n## ガイド\n\n* **Java/Quarkus** : [Quarkus MCP ガイド](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** : ライブリロードには`npm run inspect`を使用する\n* **Python** : `python app.py`で実行し、 `.env`を構成する\n\n***\n\n### 主な機能:\n\n* `fineract://` URI 経由の**標準化された API アクセス**\n* STDIO/SSEトランスポートを備えた**MCP準拠**\n* **環境に依存しない**構成","Japanese","ja-JP",{"_36":66,"_40":69,"_45":70},{"_38":67,"_40":41,"_42":68},"금융 기관을 위한 오픈소스 코어 뱅킹 솔루션인 Mifos X에 MCP 서버를 통합하세요. 고객, 대출, 저축, 주식, 금융 거래 관리 및 재무 보고서 생성에 유용합니다.","# Mifos X - AI - Apache Fineract®용 모델 컨텍스트 프로토콜(MCP)\n\n이 프로젝트는 Apache Fineract API와 상호 작용하는 모델 컨텍스트 프로토콜(MCP) 서버를 제공하여 AI 에이전트가 재무 데이터 및 운영에 접근할 수 있도록 지원합니다. **Python** , **Java(Quarkus)** , **Node.js** 로 구현되어 있습니다.\n\n***\n\n## MCP 개발자 도구\n\n**MCP Inspector를** 사용하여 서버를 테스트하고 디버깅하세요.\n\n지엑스피1\n\n이렇게 하면 STDIO 또는 SSE를 통해 MCP 서버에 연결하는 로컬 웹 UI가 시작됩니다.\n\n***\n\n## 시작하기\n\n### 1. 구현 선택\n\n#### **파이썬(플라스크)**\n\n**필수 조건** : Python 3.8 이상, `flask` , `mcp.server.fastmcp`\n\n**단계** :\n\n1. 종속성 설치:\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **zsh 사용자를 위한 참고 사항** : zsh를 사용하는 경우 셸 확장 오류를 방지하려면 extras를 인용해야 합니다.\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. 서버를 실행합니다:\n\n ```bash\n mcp dev app.py\n ```\n\n#### **자바(Quarkus)**\n\n**필수 조건** : JDK 17+, Maven\n\n**단계** :\n\n1. 셸이나 IDE에서 환경 변수를 구성하세요.\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. JBang을 통해 실행(빠른 실행을 위해):\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. (선택 사항) 네이티브 실행 파일을 빌드합니다.\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **노드.js**\n\n**필수 조건** : Node.js 16+, npm\n\n**단계** :\n\n1. 종속성 설치:\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. `.env` 에서 환경 변수를 구성합니다.\n\n ```bash\n cp .env.example .env\n ```\n\n3. 서버를 실행합니다:\n\n ```bash\n npm run dev\n ```\n\n4. 내장된 `inspect` 스크립트로 테스트:\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## 구성\n\n모든 구현에는 다음 환경 변수가 필요합니다.\n\n| 변하기 쉬운 | 설명 |\n| --------------------------- | ------------------------ |\n| `FINERACT_BASE_URL` | Fineract 인스턴스의 기본 URL |\n| `FINERACT_BASIC_AUTH_TOKEN` | API 인증 토큰 |\n| `FINERACT_TENANT_ID` | 테넌트 식별자(기본값: `default` ) |\n\n**참고** : Java는 `MIFOSX_` 접두사가 붙은 변수(예: `MIFOSX_BASE_URL` )를 사용합니다.\n\n***\n\n## 사용 가능한 리소스\n\nMCP 서버는 다음 리소스를 제공합니다.\n\n### 핵심 리소스\n\n* `fineract://clients`\\\n 모든 클라이언트 나열\n* `fineract://clients/{clientId}`\\\n 특정 클라이언트에 대한 세부 정보 가져오기\n* `fineract://loans`\\\n 모든 대출을 나열하세요\n* `fineract://loans/{loanId}`\\\n 특정 대출에 대한 세부 정보를 얻으세요\n\n### 도구\n\n* `search_clients`\\\n 이름/속성으로 클라이언트 검색\n* `create_client`\\\n 새로운 클라이언트를 만듭니다(Node.js/Python만 해당)\n* `update_loan_status`\\\n 대출 상태 업데이트(Java/Python만 해당)\n\n***\n\n## 네이티브 실행 파일 빌드(Java 전용)\n\nJava(Quarkus)의 경우 네이티브 실행 파일을 만듭니다.\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## MCP Inspector로 테스트\n\n1. MCP 서버(Python/Java/Node.js)를 시작합니다.\n\n2. 검사기를 실행합니다.\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. `STDIO` 전송을 사용하여 서버에 연결합니다.\n\n***\n\n## 기여하다\n\n* **Python** : 새로운 리소스에 맞게 `python/app.py` 와 `server.js` 수정합니다.\n* **Java** : 새로운 엔드포인트를 위해 `src/main/java/org/mifos/community/ai/...` 확장합니다.\n* **Node.js** : `nodejs/src/server.js` 업데이트하고 검증을 위해 Zod 스키마를 추가합니다.\n\n***\n\n## 연락하다\n\n* Apache Fineract 커뮤니티: \n* MCP 사양: \n\n***\n\n## 가이드\n\n* **Java/Quarkus** : [Quarkus MCP 가이드](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** : 라이브 리로딩을 위해 `npm run inspect` 사용하세요\n* **Python** : `python app.py` 로 실행하고 `.env` 구성합니다.\n\n***\n\n### 주요 특징:\n\n* `fineract://` URI를 통한 **표준화된 API 액세스**\n* STDIO/SSE 전송을 통한 **MCP 호환**\n* **환경에 구애받지 않는** 구성","Korean","ko-KR",{"_36":72,"_40":75,"_45":76},{"_38":73,"_40":41,"_42":74},"Интегрируйте MCP Server для Mifos X — решения Open Source Core Banking для финансовых учреждений. Полезно для управления клиентами, кредитами, сбережениями, акциями, финансовыми транзакциями и создания финансовых отчетов.","# Mifos X - AI - Протокол контекста модели (MCP) для Apache Fineract®\n\nЭтот проект предоставляет серверы Model Context Protocol (MCP) для взаимодействия с Apache Fineract API, позволяя агентам ИИ получать доступ к финансовым данным и операциям. Реализации доступны на **Python** , **Java (Quarkus)** и **Node.js** .\n\n***\n\n## Инструменты разработчика MCP\n\nИспользуйте **MCP Inspector** для тестирования и отладки вашего сервера:\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nЭто запустит локальный веб-интерфейс для подключения к вашему серверу MCP через STDIO или SSE.\n\n***\n\n## Начиная\n\n### 1. Выберите вариант реализации\n\n#### **Питон (Flask)**\n\n**Предварительные требования** : Python 3.8+, `flask` , `mcp.server.fastmcp`\n\n**Шаги** :\n\n1. Установить зависимости:\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **Примечание для пользователей zsh** : если вы используете zsh, обязательно заключайте в кавычки дополнительные строки, чтобы избежать ошибок расширения оболочки:\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. Запускаем сервер:\n\n ```bash\n mcp dev app.py\n ```\n\n#### **Java (Кваркус)**\n\n**Предварительные требования** : JDK 17+, Maven\n\n**Шаги** :\n\n1. Настройте переменные среды в вашей оболочке или IDE:\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. Запустить через JBang (для быстрого выполнения):\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. (Необязательно) Создайте собственный исполняемый файл:\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n\n**Предварительные требования** : Node.js 16+, npm\n\n**Шаги** :\n\n1. Установить зависимости:\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. Настройте переменные среды в `.env` :\n\n ```bash\n cp .env.example .env\n ```\n\n3. Запустите сервер:\n\n ```bash\n npm run dev\n ```\n\n4. Протестируйте с помощью встроенного скрипта `inspect` :\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## Конфигурация\n\nДля всех реализаций требуются следующие переменные среды:\n\n| Переменная | Описание |\n| --------------------------- | --------------------------------------------------- |\n| `FINERACT_BASE_URL` | Базовый URL вашего экземпляра Fineract |\n| `FINERACT_BASIC_AUTH_TOKEN` | API-токен аутентификации |\n| `FINERACT_TENANT_ID` | Идентификатор арендатора (по умолчанию: `default` ) |\n\n**Примечание** : Java использует переменные с префиксом `MIFOSX_` (например, `MIFOSX_BASE_URL` ).\n\n***\n\n## Доступные ресурсы\n\nСервер MCP предоставляет следующие ресурсы:\n\n### Основные ресурсы\n\n* `fineract://clients`\\\n Список всех клиентов\n* `fineract://clients/{clientId}`\\\n Получить данные по конкретному клиенту\n* `fineract://loans`\\\n Список всех кредитов\n* `fineract://loans/{loanId}`\\\n Получить подробную информацию по конкретному кредиту\n\n### Инструменты\n\n* `search_clients`\\\n Поиск клиентов по имени/атрибутам\n* `create_client`\\\n Создать нового клиента (только Node.js/Python)\n* `update_loan_status`\\\n Обновить статус кредита (только Java/Python)\n\n***\n\n## Создание собственных исполняемых файлов (только Java)\n\nДля Java (Quarkus) создайте собственный исполняемый файл:\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## Тестирование с помощью MCP Inspector\n\n1. Запустите свой MCP-сервер (Python/Java/Node.js).\n\n2. Запустите инспектор:\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. Подключитесь к серверу, используя транспорт `STDIO` .\n\n***\n\n## Внося вклад\n\n* **Python** : измените `python/app.py` и `server.js` для новых ресурсов.\n* **Java** : Расширить `src/main/java/org/mifos/community/ai/...` для новых конечных точек.\n* **Node.js** : обновите `nodejs/src/server.js` и добавьте схемы Zod для проверки.\n\n***\n\n## Контакт\n\n* Сообщество Apache Fineract: \n* Спецификация MCP: \n\n***\n\n## Руководства\n\n* **Java/Quarkus** : [Руководство по Quarkus MCP](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** : используйте `npm run inspect` для перезагрузки в реальном времени\n* **Python** : Запустите с помощью `python app.py` и настройте `.env`\n\n***\n\n### Основные характеристики:\n\n* **Стандартизированный доступ к API** через URI `fineract://`\n* **Совместимость с MCP** и транспортами STDIO/SSE\n* Конфигурация **, не зависящая от среды**","Russian","ru-RU",{"_36":78,"_40":81,"_45":82},{"_38":79,"_40":41,"_42":80},"集成 Mifos X 的 MCP 服务器，这是一个面向金融机构的开源核心银行解决方案。可用于管理客户、贷款、储蓄、股票、金融交易以及生成财务报告。","# Mifos X - AI - Apache Fineract® 的模型上下文协议 (MCP)\n\n该项目提供模型上下文协议 (MCP) 服务器，用于与 Apache Fineract API 交互，使 AI 代理能够访问财务数据和操作。目前已提供**Python** 、 **Java (Quarkus)**和**Node.js 等语言**的实现。\n\n***\n\n## MCP 开发工具\n\n使用**MCP 检查器**测试和调试您的服务器：\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\n这将启动本地 Web UI 以通过 STDIO 或 SSE 连接到您的 MCP 服务器。\n\n***\n\n## 入门\n\n### 1. 选择您的实施方案\n\n#### **Python（Flask）**\n\n**先决条件**：Python 3.8+、 `flask` 、 `mcp.server.fastmcp`\n\n**步骤**：\n\n1. 安装依赖项：\n\n ```bash\n pip install mcp[cli] uv flask\n ```\n\n > **zsh 用户请注意**：如果您使用 zsh，请务必引用 extras 以避免 shell 扩展错误：\n >\n > ```bash\n > pip install 'mcp[cli]' uv flask\n > ```\n\n2. 运行服务器：\n\n ```bash\n mcp dev app.py\n ```\n\n#### **Java（Quarkus）**\n\n**先决条件**：JDK 17+，Maven\n\n**步骤**：\n\n1. 在您的 shell 或 IDE 中配置环境变量：\n\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n\n2. 通过 JBang 运行（快速执行）：\n\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n\n3. （可选）构建本机可执行文件：\n\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n#### **Node.js**\n\n**先决条件**：Node.js 16+、npm\n\n**步骤**：\n\n1. 安装依赖项：\n\n ```bash\n cd nodejs && npm install\n ```\n\n2. 在`.env`中配置环境变量：\n\n ```bash\n cp .env.example .env\n ```\n\n3. 运行服务器：\n\n ```bash\n npm run dev\n ```\n\n4. 使用内置`inspect`脚本进行测试：\n\n ```bash\n npm run inspect\n ```\n\n***\n\n## 配置\n\n所有实现都需要以下环境变量：\n\n| 多变的 | 描述 |\n| --------------------------- | ---------------------- |\n| `FINERACT_BASE_URL` | Fineract 实例的基本 URL |\n| `FINERACT_BASIC_AUTH_TOKEN` | API 身份验证令牌 |\n| `FINERACT_TENANT_ID` | 租户标识符（默认值： `default` ） |\n\n**注意**：Java 使用`MIFOSX_`前缀变量（例如， `MIFOSX_BASE_URL` ）。\n\n***\n\n## 可用资源\n\nMCP 服务器公开以下资源：\n\n### 核心资源\n\n* `fineract://clients`\\\n 列出所有客户\n* `fineract://clients/{clientId}`\\\n 获取特定客户的详细信息\n* `fineract://loans`\\\n 列出所有贷款\n* `fineract://loans/{loanId}`\\\n 获取特定贷款的详细信息\n\n### 工具\n\n* `search_clients`\\\n 按名称/属性搜索客户\n* `create_client`\\\n 创建新客户端（仅限 Node.js/Python）\n* `update_loan_status`\\\n 更新贷款状态（仅限 Java/Python）\n\n***\n\n## 构建本机可执行文件（仅限 Java）\n\n对于 Java（Quarkus），创建一个本机可执行文件：\n\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n***\n\n## 使用 MCP Inspector 进行测试\n\n1. 启动您的 MCP 服务器 (Python/Java/Node.js)。\n\n2. 运行检查器：\n\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n\n3. 使用`STDIO`传输连接到服务器。\n\n***\n\n## 贡献\n\n* **Python** ：修改`python/app.py`和`server.js`以获取新资源。\n* **Java** ：扩展`src/main/java/org/mifos/community/ai/...`以适应新的端点。\n* **Node.js** ：更新`nodejs/src/server.js`并添加 Zod 模式进行验证。\n\n***\n\n## 接触\n\n* Apache Fineract 社区： \n* MCP 规范： \n\n***\n\n## 指南\n\n* **Java/Quarkus** ： [Quarkus MCP 指南](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n* **Node.js** ：使用`npm run inspect`进行实时重新加载\n* **Python** ：使用`python app.py`运行并配置`.env`\n\n***\n\n### 主要特点：\n\n* 通过`fineract://` URI**实现标准化 API 访问**\n* **符合 MCP 标准**的 STDIO/SSE 传输\n* **与环境无关的**配置","Chinese","zh-CN","githubUser","locale",{"_86":87,"_88":89,"_20":95,"_103":49,"_104":49,"_105":106,"_110":111,"_132":-5,"_23":133,"_134":135,"_136":137,"_40":41,"_148":123,"_149":-5,"_150":-5,"_151":-5,"_152":-5,"_153":154,"_159":-5,"_144":41,"_160":-5,"_161":-5,"_8":162,"_163":164},"addedAt","2025-04-01T15:07:41.595595347Z","argumentsJsonSchema",{"_90":91,"_92":93,"_12":94},"properties",{},"required",[],"object",[96,97,98,99,100,101,102],"author:official","category:finance","category:databases","environment:network","hosting:remote-capable","language:java","license_grade:a","descriptionMarkdown","descriptionPlainText","githubProject",{"_42":107,"_108":109},"# Mifos X - AI - Model Context Protocol (MCP) \n\nThis project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations. Implementations is available in **Java (Quarkus)**.\n\n---\n\n## MCP Developer Tools\n\nUse the **MCP Inspector** to test and debug your server:\n\n```bash\nnpx @modelcontextprotocol/inspector\n```\n\nThis starts a local web UI to connect to your MCP server via STDIO or SSE.\n\n---\n\n## Getting Started\n\n### 1. Choose Your Implementation\n\n#### **Java (Quarkus)**\n**Prerequisites**: JDK 17+, Maven\n\n**Steps**:\n1. Configure environment variables in your shell or IDE:\n ```bash\n export MIFOSX_BASE_URL=\"https://your-fineract-instance\"\n export MIFOSX_BASIC_AUTH_TOKEN=\"your_api_token\"\n export MIFOS_TENANT_ID=\"default\"\n ```\n2. Run via JBang (for quick execution):\n ```bash\n jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner\n ```\n3. (Optional) Build a native executable:\n ```bash\n ./mvnw package -Dnative\n ./target/mcp-server-1.0.0-SNAPSHOT-runner\n ```\n\n---\n\n## Configuration\n\nAll implementations require the following environment variables:\n\n| Variable | Description |\n|------------------------|--------------------------------------|\n| `FINERACT_BASE_URL` | Base URL of your Fineract instance |\n| `FINERACT_BASIC_AUTH_TOKEN` | API authentication token |\n| `FINERACT_TENANT_ID` | Tenant identifier (default: `default`) |\n\n**Note**: Java uses `MIFOSX_` prefixed variables (e.g., `MIFOSX_BASE_URL`).\n\n---\n\n## Building Native Executables (Java Only)\n\nFor Java (Quarkus), create a native executable:\n```bash\n./mvnw package -Dnative -Dquarkus.native.container-build=true\n./target/mcp-server-1.0.0-SNAPSHOT-runner\n```\n\n---\n\n## Testing with MCP Inspector\n\n1. Start your MCP server (Python/Java/Node.js).\n2. Run the inspector:\n ```bash\n npx @modelcontextprotocol/inspector\n ```\n3. Connect to the server using the `STDIO` transport.\n\n---\n\n## Contributing\n\n- **Java**: Extend `src/main/java/org/mifos/community/ai/...` for new endpoints.\n\n---\n\n## Contact\n\n- Apache Fineract Community: [https://community.apache.org/](https://community.apache.org/)\n- MCP Specification: [https://modelcontextprotocol.org](https://modelcontextprotocol.org)\n\n---\n\n## Guides\n\n- **Java/Quarkus**: [Quarkus MCP Guide](https://docs.quarkiverse.io/quarkus-mcp-server/dev/index.html)\n\n---\n\n\n### Key Features:\n- **Standardized API access** via `fineract://` URIs\n- **MCP-compliant** with STDIO/SSE transports\n- **Environment-agnostic** configuration\n\n","url","https://github.com/openMF/mcp-mifosx","githubRepository",{"_112":113,"_114":115,"_116":117,"_118":119,"_40":41,"_120":121,"_125":126,"_127":128,"_130":131},"defaultBranch","main","fullName","openMF/mcp-mifosx","githubTreeId",153387,"language","Java","owner",{"_122":123,"_8":124},"login","openMF","ZK0u5s4BvR","recentStargazers",0,"spdxLicense",{"_40":129},"Mozilla Public License 2.0","stargazers",11,"glamaJson",4800,"inspectable",false,"integrations",[138],{"_139":140,"_38":146,"_8":147},"brand",{"_141":142,"_40":143,"_144":145},"logoSvgPath","M17.805 2.197v.066h.156v.44h.072v-.44h.156v-.066zm.9 0l-.175.353-.172-.353h-.087v.506h.067V2.3l.172.35h.045l.172-.35v.404h.066v-.506zm-4.257 1c-.204.31-.424.66-.66 1.06l-.04.062a44.457 44.457 0 00-1.265 2.29c-.187.36-.38.742-.577 1.146l2.267-.25c.66-.302.955-.578 1.242-.976a15.5 15.5 0 00.23-.342c.23-.363.46-.763.663-1.16.197-.386.37-.767.505-1.11.083-.22.15-.422.198-.6.042-.158.074-.307.1-.45-.884.15-1.965.295-2.668.33zM11.894 7.78l-.077.16c-.078.16-.157.32-.236.488-.086.18-.172.364-.26.552l-.132.287a75.265 75.265 0 00-1.427 3.3c-.163.397-.327.807-.493 1.23-.15.38-.297.765-.45 1.164l-.02.06c-.15.396-.3.802-.453 1.22l-.01.027.72-.08a.213.213 0 01-.042-.006c.863-.106 2.01-.75 2.75-1.547.342-.367.652-.8.94-1.306.213-.377.413-.795.604-1.258.168-.405.328-.843.48-1.318-.196.105-.423.18-.673.235a2.184 2.184 0 01-.273.046c.806-.31 1.314-.905 1.683-1.64a2.816 2.816 0 01-.968.428c-.06.012-.116.022-.174.03l-.043.006h.002c.278-.118.514-.248.718-.403a2.571 2.571 0 00.637-.698l.063-.104.077-.154a8.107 8.107 0 00.367-.85l.03-.088a3.04 3.04 0 00.123-.463.733.733 0 01-.094.065c-.243.145-.66.277-.996.34l.663-.074-.664.073h-.017l-.1.017c.006-.003.01-.006.017-.008l-2.265.25-.013.022zM8.27 16.45c-.117.323-.236.654-.355.992l-.005.015c-.016.046-.032.094-.05.142-.08.227-.15.432-.31.9.264.12.475.435.675.793a1.44 1.44 0 00-.466-.99c1.293.06 2.41-.27 2.99-1.217.05-.084.096-.173.14-.268-.26.333-.59.474-1.2.44 0 0-.004 0-.005.002l.004-.002c.9-.404 1.354-.79 1.754-1.433.094-.153.186-.32.28-.503-.788.81-1.702 1.04-2.664.865l-.72.078a6.43 6.43 0 00-.067.183zM15.42.112c-.376.222-1 .85-1.748 1.763l.686 1.294c.48-.687.97-1.307 1.462-1.836l.058-.062c-.02.02-.04.04-.057.062-.16.176-.644.74-1.375 1.863.703-.035 1.784-.18 2.666-.33.262-1.47-.258-2.142-.258-2.142s-.66-1.07-1.436-.61zm-3.084 6.402a40.253 40.253 0 011.306-2.26l.04-.064c.224-.352.45-.693.677-1.02l-.685-1.293-.157.192c-.197.245-.403.51-.613.79a39.853 39.853 0 00-2.016 2.97l-.022.038.893 1.763c.19-.378.38-.752.575-1.118zm-3.73 8.32c.158-.406.319-.81.483-1.225.156-.394.32-.79.484-1.19a91.133 91.133 0 011.6-3.604l.205-.424c.12-.243.237-.485.36-.724a.125.125 0 01.02-.04l-.895-1.763-.044.07c-.207.34-.414.687-.617 1.042a38.056 38.056 0 00-1.092 2.04l-.094.193a24.573 24.573 0 00-1.258 3.087 18.492 18.492 0 00-.52 1.997l.896 1.77c.117-.317.24-.638.364-.963zm-1.376-.476a13.38 13.38 0 00-.234 1.692c0 .02-.004.04-.005.06-.28-.45-1.03-.888-1.026-.884.537.778.944 1.55 1.005 2.31-.29.058-.684-.027-1.14-.195.475.436.83.556.97.588-.434.03-.89.328-1.346.67.668-.27 1.21-.38 1.596-.29-.61 1.74-1.23 3.655-1.843 5.69a.538.538 0 00.364-.354c.11-.368.84-2.786 1.978-5.965l.097-.27.028-.078c.12-.332.246-.672.374-1.02l.09-.237v-.004L7.24 14.3c-.003.02-.01.04-.012.06z","Apache","slug","apache","Provides integration with Apache Fineract, likely offering capabilities for financial inclusion software functionalities and microfinance operations through the Mifos X AI platform.","chkhgyxb9l","namespace","npmPackage","prompts","redditPostForeignId","resources","scores",{"_155":156,"_157":-5,"_158":-5},"license",100,"quality","security","simpleIcon","supportedPlatforms","tools","v2j0vus1er","updatedAt","2025-08-01T00:40:25.524524821Z","meta",[167,169,171,178,181,183,186,189,192,195,198,200,203,206,208,210,212,214,216],{"_10":168},"mcp-mifosx | Glama",{"_170":49,"_40":38},"content",{"_172":173,"_174":175,"_176":177},"href","https://glama.ai/mcp/servers/@openMF/mcp-mifosx","rel","canonical","tagName","link",{"_170":41,"_179":180},"property","og:title",{"_170":49,"_179":182},"og:description",{"_170":184,"_179":185},"https://glama.ai/logo.png","og:logo",{"_170":187,"_179":188},"https://glama.ai/mcp/servers/@openMF/mcp-mifosx/og-image","og:image",{"_170":190,"_179":191},"630","og:image:height",{"_170":193,"_179":194},"1200","og:image:width",{"_170":196,"_179":197},"website","og:type",{"_170":173,"_179":199},"og:url",{"_170":201,"_179":202},"Glama – MCP Hosting Platform","og:site_name",{"_170":204,"_40":205},"summary_large_image","twitter:card",{"_170":201,"_40":207},"twitter:title",{"_170":49,"_40":209},"twitter:description",{"_170":187,"_40":211},"twitter:image",{"_170":190,"_40":213},"twitter:image:height",{"_170":193,"_40":215},"twitter:image:width",{"_217":218},"script:ld+json",{"_219":220,"_221":222},"@context","http://schema.org","@graph",[223],{"_219":224,"_225":226,"_227":228},"https://schema.org","@type","BreadcrumbList","itemListElement",[229,236,240,244],{"_225":230,"_231":232,"_40":233,"_234":235},"ListItem","item","https://glama.ai/","Glama","position",1,{"_225":230,"_231":237,"_40":238,"_234":239},"https://glama.ai/mcp","MCP",2,{"_225":230,"_231":241,"_40":242,"_234":243},"https://glama.ai/mcp/servers","Servers",3,{"_225":230,"_231":173,"_40":41,"_234":245},4,"visitorIsMaintainer","routes/_public/mcp/servers/~namespace/~slug/_pages/reviews/_route",{"_83":-5,"_36":249,"_165":262,"_297":-5},{"_86":87,"_88":250,"_20":253,"_103":49,"_104":49,"_105":254,"_110":255,"_132":-5,"_23":133,"_134":135,"_136":258,"_40":41,"_148":123,"_149":-5,"_150":-5,"_151":-5,"_152":-5,"_153":261,"_159":-5,"_144":41,"_160":-5,"_161":-5,"_8":162,"_163":164},{"_90":251,"_92":252,"_12":94},{},[],[96,97,98,99,100,101,102],{"_42":107,"_108":109},{"_112":113,"_114":115,"_116":117,"_118":119,"_40":41,"_120":256,"_125":126,"_127":257,"_130":131},{"_122":123,"_8":124},{"_40":129},[259],{"_139":260,"_38":146,"_8":147},{"_141":142,"_40":143,"_144":145},{"_155":156,"_157":-5,"_158":-5},[263,265,267,269,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285],{"_10":264},"Reviews | mcp-mifosx | Glama",{"_170":266,"_40":38},"Read community reviews and feedback for mcp-mifosx. Discover user experiences, ratings, strengths, and potential limitations of this MCP implementation from actual users.",{"_172":268,"_174":175,"_176":177},"https://glama.ai/mcp/servers/@openMF/mcp-mifosx/reviews",{"_170":270,"_179":180},"Reviews | mcp-mifosx",{"_170":266,"_179":182},{"_170":184,"_179":185},{"_170":187,"_179":188},{"_170":190,"_179":191},{"_170":193,"_179":194},{"_170":196,"_179":197},{"_170":268,"_179":199},{"_170":201,"_179":202},{"_170":204,"_40":205},{"_170":201,"_40":207},{"_170":266,"_40":209},{"_170":187,"_40":211},{"_170":190,"_40":213},{"_170":193,"_40":215},{"_217":286},{"_219":220,"_221":287},[288],{"_219":224,"_225":226,"_227":289},[290,291,292,293,294],{"_225":230,"_231":232,"_40":233,"_234":235},{"_225":230,"_231":237,"_40":238,"_234":239},{"_225":230,"_231":241,"_40":242,"_234":243},{"_225":230,"_231":173,"_40":41,"_234":245},{"_225":230,"_231":268,"_40":295,"_234":296},"Reviews",5,"review","actionData","errors"]

Rate & Review

MCP directory API