Discover Awesome MCP Servers

Bear MCP Server

Mirror of

GenAIScript MCP Demo 🚀

Demo kemampuan MCP Server GenAIScript

spring-mcp-server-sample

MCP Server Sample

cursor_agents

Okay, here's a breakdown of how you might use an MCP (presumably referring to a Media Control Platform or similar system) server to add a team of experts into an agent flow, along with considerations and potential approaches: **Understanding the Goal** The core idea is to seamlessly integrate a team of experts into an existing agent workflow. This means: * **Routing:** Directing specific types of customer interactions to the expert team. * **Collaboration:** Enabling the agent and the expert team to communicate and share information effectively. * **Context:** Providing the expert team with the necessary context about the customer and the interaction. * **Efficiency:** Minimizing delays and ensuring a smooth handoff. * **Tracking/Reporting:** Monitoring the performance of the expert team and the overall process. **General Approach (Conceptual)** 1. **Identify Trigger Points:** Determine when an agent needs to involve the expert team. This could be based on: * **Keywords:** Specific words or phrases spoken or typed by the customer. * **Intent:** The customer's intent, as determined by natural language understanding (NLU). * **Data:** Customer data (e.g., account type, product owned, past issues). * **Agent Request:** The agent manually initiates the transfer. 2. **MCP Configuration:** Configure your MCP server to recognize these trigger points. This typically involves: * **Rules/Policies:** Defining rules that specify when to route interactions to the expert team. * **Routing Profiles:** Creating routing profiles that define the skills and availability of the expert team. * **Integration Points:** Setting up the necessary integrations with your agent desktop application, CRM, and other systems. 3. **Agent Workflow Integration:** Modify the agent's workflow to allow them to easily involve the expert team. This might involve: * **A "Consult Expert" Button:** A button in the agent's desktop application that initiates the transfer. * **Automated Transfer:** The system automatically transfers the interaction based on the defined rules. * **Screen Pop:** When the expert team receives the interaction, a screen pop displays relevant customer information. 4. **Collaboration Tools:** Provide the agent and the expert team with tools to collaborate effectively. This could include: * **Chat:** A chat window for real-time communication. * **Shared Notes:** A shared note-taking system for documenting the interaction. * **File Sharing:** The ability to share files and documents. * **Co-browsing:** The ability to co-browse the customer's screen. 5. **Monitoring and Reporting:** Track the performance of the expert team and the overall process. This could include: * **Average Handle Time:** The average time it takes to resolve interactions involving the expert team. * **First Call Resolution:** The percentage of interactions resolved on the first call. * **Customer Satisfaction:** Customer satisfaction scores for interactions involving the expert team. * **Expert Team Utilization:** How busy the expert team is. **Specific Implementation Considerations (Example)** Let's say you're using a hypothetical MCP called "MediaControlPro" and you want to route interactions about "complex billing issues" to the "Billing Experts" team. 1. **Trigger:** The agent identifies that the customer has a complex billing issue (either through keywords, intent analysis, or their own assessment). 2. **MediaControlPro Configuration:** * **Rule:** `IF Intent = "Billing Inquiry" AND Complexity = "High" THEN Route to "Billing Experts"` * **Routing Profile:** "Billing Experts" profile is configured with the skills and availability of the team members. * **Integration:** MediaControlPro is integrated with the agent's CRM and desktop application. 3. **Agent Workflow:** * The agent clicks a "Consult Billing Expert" button in their desktop application. This triggers the rule in MediaControlPro. * MediaControlPro routes the interaction to an available member of the "Billing Experts" team. * The expert receives a screen pop with the customer's account information and a summary of the issue. 4. **Collaboration:** * The agent and the expert can communicate via a chat window within the agent's desktop application. * They can share notes and files related to the billing issue. 5. **Monitoring:** * MediaControlPro tracks the average handle time for billing inquiries that are routed to the "Billing Experts" team. * It also tracks customer satisfaction scores for these interactions. **Key Questions to Ask** * **What MCP are you using?** (Knowing the specific platform is crucial for providing detailed instructions.) * **What CRM and agent desktop applications are you using?** * **What are the specific scenarios where you want to involve the expert team?** * **What collaboration tools do you currently have in place?** * **What metrics are you most interested in tracking?** **Translation to Indonesian** Here's a translation of the general approach into Indonesian: **Pendekatan Umum (Konseptual)** 1. **Identifikasi Titik Pemicu:** Tentukan kapan seorang agen perlu melibatkan tim ahli. Ini bisa berdasarkan: * **Kata Kunci:** Kata atau frasa spesifik yang diucapkan atau diketik oleh pelanggan. * **Maksud:** Maksud pelanggan, seperti yang ditentukan oleh pemahaman bahasa alami (NLU). * **Data:** Data pelanggan (misalnya, jenis akun, produk yang dimiliki, masalah sebelumnya). * **Permintaan Agen:** Agen secara manual memulai transfer. 2. **Konfigurasi MCP:** Konfigurasikan server MCP Anda untuk mengenali titik pemicu ini. Ini biasanya melibatkan: * **Aturan/Kebijakan:** Mendefinisikan aturan yang menentukan kapan harus mengarahkan interaksi ke tim ahli. * **Profil Routing:** Membuat profil routing yang menentukan keterampilan dan ketersediaan tim ahli. * **Titik Integrasi:** Menyiapkan integrasi yang diperlukan dengan aplikasi desktop agen Anda, CRM, dan sistem lainnya. 3. **Integrasi Alur Kerja Agen:** Modifikasi alur kerja agen untuk memungkinkan mereka dengan mudah melibatkan tim ahli. Ini mungkin melibatkan: * **Tombol "Konsultasi Ahli":** Tombol di aplikasi desktop agen yang memulai transfer. * **Transfer Otomatis:** Sistem secara otomatis mentransfer interaksi berdasarkan aturan yang ditentukan. * **Screen Pop:** Ketika tim ahli menerima interaksi, screen pop menampilkan informasi pelanggan yang relevan. 4. **Alat Kolaborasi:** Sediakan agen dan tim ahli dengan alat untuk berkolaborasi secara efektif. Ini bisa termasuk: * **Obrolan:** Jendela obrolan untuk komunikasi waktu nyata. * **Catatan Bersama:** Sistem pencatatan bersama untuk mendokumentasikan interaksi. * **Berbagi File:** Kemampuan untuk berbagi file dan dokumen. * **Co-browsing:** Kemampuan untuk menjelajahi layar pelanggan bersama-sama. 5. **Pemantauan dan Pelaporan:** Lacak kinerja tim ahli dan proses keseluruhan. Ini bisa termasuk: * **Rata-rata Waktu Penanganan:** Rata-rata waktu yang dibutuhkan untuk menyelesaikan interaksi yang melibatkan tim ahli. * **Resolusi Panggilan Pertama:** Persentase interaksi yang diselesaikan pada panggilan pertama. * **Kepuasan Pelanggan:** Skor kepuasan pelanggan untuk interaksi yang melibatkan tim ahli. * **Utilisasi Tim Ahli:** Seberapa sibuk tim ahli. To give you more specific guidance, please provide the name of the MCP you are using. Good luck!

Prometheus Alertmanager MCP Server

A Model Context Protocol (MCP) server that integrates with Prometheus Alertmanager

Hello, MCP server.

Server MCP dasar

MCP LLM Bridge

A Simple bridge from Ollama to a fetch url mcp server

NYT MCP Server

Server Protokol Konsentrator Pesan (MCP) yang menyediakan antarmuka terpadu dan sederhana ke API New York Times. Server ini menyederhanakan interaksi dengan berbagai API NYT melalui satu titik akhir.

Postgers_MCP_for_AWS_RDS

It adalah server MCP untuk mengakses DB Postgres di AWS RDS.

Filesystem MCP Server

Mirror of

Time-MCP

Here are a few ways to translate "mcp server for the time and date" into Indonesian, depending on the context: **Option 1 (Most General):** * **Server MCP untuk waktu dan tanggal** This is a direct translation and works well if you're simply referring to a server that provides time and date information using the MCP protocol. **Option 2 (More Specific, if referring to a Minecraft server):** * **Server MCP untuk waktu dan tanggal (Minecraft)** This clarifies that you're talking about a Minecraft server using the MCP protocol to handle time and date. **Option 3 (If you're asking for a server's current time and date):** * **Server MCP untuk mendapatkan waktu dan tanggal saat ini** This translates to "MCP server to get the current time and date." It implies you want to query the server for the current time and date. **Option 4 (If you're asking about setting the time and date on an MCP server):** * **Server MCP untuk mengatur waktu dan tanggal** This translates to "MCP server to set the time and date." It implies you want to configure the server's time and date. **Which option is best depends on the specific situation. If you can provide more context, I can give you a more accurate translation.**

spotify_mcp_server_claude

a custom mcp server built using mcp framework

MCP Custom Servers Collection

Collection of custom MCP servers for multiple installations

Effect CLI - Model Context Protocol

MCP Servers, exposed as a CLI tool

SQLGenius - AI-Powered SQL Assistant

SQLGenius adalah asisten SQL bertenaga AI yang mengubah bahasa alami menjadi kueri SQL menggunakan Gemini Pro dari Vertex AI. Dibangun dengan MCP dan Streamlit, ia menyediakan antarmuka intuitif untuk eksplorasi data BigQuery dengan visualisasi waktu nyata dan manajemen skema.

Structured Thinking

Server MCP terpadu untuk alat bantu berpikir terstruktur termasuk pemikiran berbasis templat, dan pemikiran verifikasi.

GitHub MCP Server for Cursor IDE

GitHub MCP server for Cursor IDE

Malaysia Prayer Time for Claude Desktop

Server Protokol Konteks Model (MCP) untuk data Waktu Salat Malaysia

Weather MCP Server

```python import socket import json import random import time # Configuration HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 6666 # Port to listen on (non-privileged ports are > 1023) UPDATE_INTERVAL = 5 # Seconds between weather updates def generate_weather_data(): """Generates random weather data.""" temperature = round(random.uniform(20, 35), 1) # Temperature in Celsius humidity = random.randint(60, 90) # Humidity percentage condition = random.choice(['Sunny', 'Cloudy', 'Rainy', 'Windy']) wind_speed = random.randint(5, 25) # Wind speed in km/h weather_data = { 'temperature': temperature, 'humidity': humidity, 'condition': condition, 'wind_speed': wind_speed } return weather_data def main(): """Main function to run the weather server.""" with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Weather server listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: weather_data = generate_weather_data() weather_json = json.dumps(weather_data) + "\n" # Add newline for easy parsing try: conn.sendall(weather_json.encode('utf-8')) print(f"Sent weather data: {weather_data}") except BrokenPipeError: print("Client disconnected.") break time.sleep(UPDATE_INTERVAL) if __name__ == "__main__": main() ``` **Explanation:** 1. **Imports:** - `socket`: For network communication (creating a server). - `json`: For encoding Python dictionaries into JSON strings (a common format for data exchange). - `random`: For generating random weather data. - `time`: For pausing execution between weather updates. 2. **Configuration:** - `HOST`: The IP address the server will listen on. `127.0.0.1` (localhost) means it will only accept connections from the same machine. - `PORT`: The port number the server will listen on. Choose a port above 1023 to avoid needing special permissions. - `UPDATE_INTERVAL`: How often (in seconds) the server will generate and send new weather data. 3. **`generate_weather_data()` Function:** - Creates a dictionary containing random weather information: - `temperature`: A random floating-point number between 20 and 35 (Celsius). - `humidity`: A random integer between 60 and 90 (percentage). - `condition`: A random choice from a list of weather conditions. - `wind_speed`: A random integer between 5 and 25 (km/h). - Returns the dictionary. 4. **`main()` Function:** - **Socket Creation:** - `with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:`: Creates a socket object. - `socket.AF_INET`: Specifies the IPv4 address family. - `socket.SOCK_STREAM`: Specifies a TCP socket (reliable, connection-oriented). The `with` statement ensures the socket is properly closed when the block finishes. - **Binding:** - `s.bind((HOST, PORT))`: Associates the socket with the specified IP address and port. This tells the operating system that the server is listening on that address and port. - **Listening:** - `s.listen()`: Puts the socket into listening mode, waiting for incoming connections. - **Accepting Connections:** - `conn, addr = s.accept()`: Accepts an incoming connection. - `conn`: A new socket object representing the connection to the client. - `addr`: The address (IP address and port) of the client. - **Communication Loop:** - `with conn:`: Ensures the client connection is closed properly when the loop finishes. - `while True:`: An infinite loop that continuously generates and sends weather data. - `weather_data = generate_weather_data()`: Generates new weather data. - `weather_json = json.dumps(weather_data) + "\n"`: Converts the Python dictionary to a JSON string using `json.dumps()`. The `\n` (newline character) is added to the end of the JSON string. This makes it easier for the client to parse the data, as it can read until it encounters a newline. - `conn.sendall(weather_json.encode('utf-8'))`: Sends the JSON string to the client. - `weather_json.encode('utf-8')`: Encodes the JSON string into bytes using UTF-8 encoding (a common and versatile encoding). - `conn.sendall()`: Sends all the data to the client. It handles sending the data in chunks if necessary. - `print(f"Sent weather data: {weather_data}")`: Prints the sent data to the console (for debugging). - `time.sleep(UPDATE_INTERVAL)`: Pauses execution for `UPDATE_INTERVAL` seconds before sending the next update. - **Error Handling:** - `except BrokenPipeError:`: Catches the `BrokenPipeError` exception, which occurs when the client disconnects unexpectedly. The loop breaks, and the server goes back to listening for new connections. - **Main Execution:** - `if __name__ == "__main__":`: This ensures that the `main()` function is only called when the script is run directly (not when it's imported as a module). - `main()`: Calls the `main()` function to start the server. **How to Run:** 1. **Save:** Save the code as a Python file (e.g., `weather_server.py`). 2. **Run:** Open a terminal or command prompt and run the script: `python weather_server.py` **To test it, you'll need a client that connects to this server and reads the weather data. Here's a simple client example (also in Python):** ```python import socket import json HOST = '127.0.0.1' # The server's hostname or IP address PORT = 6666 # The port used by the server with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((HOST, PORT)) while True: data = s.recv(1024) # Receive up to 1024 bytes if not data: break # Server disconnected try: weather_json = data.decode('utf-8').strip() # Decode and remove trailing newline weather_data = json.loads(weather_json) print(f"Received weather data: {weather_data}") except json.JSONDecodeError: print(f"Received invalid JSON: {data.decode('utf-8')}") ``` **Client Explanation:** 1. **Imports:** `socket` and `json` (same as the server). 2. **Configuration:** `HOST` and `PORT` must match the server's configuration. 3. **Socket Creation and Connection:** Creates a socket and connects to the server. 4. **Receiving Data:** - `data = s.recv(1024)`: Receives data from the server (up to 1024 bytes at a time). - `if not data:`: Checks if the server has disconnected (if `recv()` returns an empty byte string). 5. **Decoding and Parsing:** - `weather_json = data.decode('utf-8').strip()`: Decodes the received bytes into a string using UTF-8 and removes any leading/trailing whitespace (including the newline character we added on the server side). - `weather_data = json.loads(weather_json)`: Parses the JSON string into a Python dictionary. 6. **Printing Data:** Prints the received weather data. 7. **Error Handling:** Includes a `try...except` block to catch `json.JSONDecodeError` in case the server sends invalid JSON. **To run the client:** 1. Save the client code as a Python file (e.g., `weather_client.py`). 2. Open a separate terminal or command prompt. 3. Run the client: `python weather_client.py` **Important Notes:** * **Firewall:** Make sure your firewall isn't blocking connections on the port you're using. * **Error Handling:** The code includes basic error handling (e.g., for client disconnection and invalid JSON). You might want to add more robust error handling for production use. * **Concurrency:** This is a very basic server that handles only one client at a time. For a real-world server, you'd need to use threads, asynchronous programming (asyncio), or a multi-processing approach to handle multiple clients concurrently. * **Data Format:** JSON is a good choice for data exchange because it's human-readable and easy to parse. * **Newline Character:** The newline character (`\n`) is important for delimiting the JSON messages. Without it, the client might receive incomplete JSON data. This example provides a foundation for building a more sophisticated weather server. You can extend it by: * Getting weather data from a real weather API. * Adding more weather parameters (e.g., pressure, visibility). * Implementing a more robust client-server protocol. * Supporting multiple clients concurrently.

Configurable Puppeteer MCP Server

Sebuah server Protokol Konteks Model yang menyediakan kemampuan otomatisasi peramban menggunakan Puppeteer dengan opsi yang dapat dikonfigurasi melalui variabel lingkungan, memungkinkan LLM untuk berinteraksi dengan halaman web, mengambil tangkapan layar, dan menjalankan JavaScript di lingkungan peramban.

Weather MCP Server

Server Protokol Konteks Model (MCP) yang menyediakan data perkiraan cuaca dari API Cuaca Pemerintah Kanada. Dapatkan perkiraan 5 hari yang akurat untuk lokasi mana pun di Kanada berdasarkan garis lintang dan bujur. Terintegrasi dengan mudah dengan Claude Desktop dan klien yang kompatibel dengan MCP lainnya.

CyberSecMCP

Secure Messages Control Plane (MCP) Server - A robust platform for managing communication between AI agents

mcp-server-wechat

实现pc端微信的mcp服务功能

MCP-Forge

Alat perancah yang praktis untuk server MCP

holaspirit-mcp-server

Mirror of