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# MCPMemory Server
A lightweight **Model Context Protocol (MCP)** server that exposes a simple key/value memory store for agents and other clients.
The project contains two scripts:
| File | Purpose |
|------|---------|
| `memory_server.py` | Runs the MCP server, exposing *set*, *get* and *delete* operations on a JSONbacked storage. |
| `memory_client.py` | Demonstrates how to connect to the server and use its tools from a client script. |
> **Why MCP?**
> MCP is a lightweight protocol for exchanging structured data between agents, services or CLI utilities. By running this server as a separate process we enable distributed multiagent systems to share state without tight coupling.
---
## 📦 Installation
```bash
# Create and activate a virtual environment (optional but recommended)
python -m venv .venv
source .venv/bin/activate # Windows: .\.venv\Scripts\activate
# Install the required packages
pip install fastmcp pydantic python-dotenv
```
> **Tip:**
> `fastmcp` is a minimal framework for building MCP servers and clients.
> `pydantic` is used internally by `fastmcp` for data validation.
---
## 🚀 Running the Server
```bash
python memory_server.py
```
The server starts on the default port **8000** (you can change it in the script).
It will create a file called `memory_data.json` in the current directory to persist data between restarts.
### Available Tools
| Tool | Parameters | Description |
|------|------------|-------------|
| `set` | `key: str`, `value: Any` | Stores a value under the given key. |
| `get` | `key: str` | Retrieves the value for the key (or `null`). |
| `delete` | `key: str` | Removes the key from storage. |
---
## 🧪 Running the Client
```bash
python memory_client.py
```
The client script demonstrates:
1. Setting a value (`foo = "bar"`).
2. Getting that value back.
3. Deleting the key and verifying its gone.
You can also use the client interactively by editing `memory_client.py` or by sending raw MCP messages via another tool (e.g., `curl`, Postman, or a custom agent).
---
## 📄 Example Usage
```python
# memory_client.py snippet
from fastmcp import FastMCPClient
client = FastMCPClient("Memory-Server", host="localhost", port=8000)
# Set a key/value pair
client.call_tool("set", {"key": "greeting", "value": "Hello, world!"})
# Retrieve the value
response = client.call_tool("get", {"key": "greeting"})
print(response) # Output: Hello, world!
# Delete the key
client.call_tool("delete", {"key": "greeting"})
# Verify deletion
assert client.call_tool("get", {"key": "greeting"}) is None
```
Feel free to integrate this server into your own agent framework or use it as a standalone memory service.
---
## 📁 Project Structure
```
.
├── memory_server.py # MCP server implementation
├── memory_client.py # Example client script
└── memory_data.json # (generated) persistent storage
```
---
## 🔧 Customization
- **Port** change the `port` argument in `FastMCP("Memory-Server", port=8000)` inside `memory_server.py`.
- **Storage Path** modify `self.storage_path = Path("./memory_data.json")` to point elsewhere.
- **Additional Tools** add new methods decorated with `@self.mcp.tool(...)` following the pattern in the script.
---
## 📜 License
This project is released under the MIT license. Feel free to fork, extend or use it in your own projects.
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# memory_client.py
"""
Клиент для тестирования MCP‑сервера памяти.
Подключается к серверу через stdio и демонстрирует работу инструментов:
- save_with_namespace
- get_by_namespace
- list_keys
"""
import asyncio
from fastmcp import Client
async def main() -> None:
"""
Основная асинхронная функция, которая:
1. Создаёт клиент для сервера memory_server.py.
2. Подключается к серверу.
3. Выполняет серию вызовов инструментов и выводит результаты.
4. Закрывает соединение.
"""
# Инициализируем клиента, указывая путь к исполняемому скрипту сервера
client = Client("python memory_server.py")
# Подключаемся к серверу (стандартный ввод/вывод)
await client.connect()
try:
# Сохраняем данные в namespace "default"
result = await client.call_tool(
"save_with_namespace",
{"key": "username", "value": "Алексей", "namespace": "default"},
)
print(f"Сохранено: {result}")
# Читаем все ключи из namespace "default"
result = await client.call_tool(
"get_by_namespace",
{"namespace": "default"},
)
print("Данные namespace 'default':")
for item in result:
print(f" {item['key']}: {item['value']}")
# Ищем ключи, содержащие подстроку 'name'
keys = await client.call_tool(
"list_keys",
{"pattern": "*name"},
)
print("Ключи с 'name':", keys)
finally:
# Завершаем соединение
await client.close()
if __name__ == "__main__":
asyncio.run(main())
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import json
from datetime import datetime
from pathlib import Path
from typing import Any, Optional
from fastmcp import FastMCP
class MemoryServer:
def __init__(self):
self.mcp = FastMCP("Memory-Server")
self.storage_path = Path("./memory_data.json")
# ------------------------------------------------------------------
# Вспомогательные методы для работы с файлом
# ------------------------------------------------------------------
def _load_memory(self) -> dict[str, Any]:
"""Загружает память из JSON-файла."""
if not self.storage_path.exists():
return {}
with open(self.storage_path, "r", encoding="utf-8") as f:
try:
data = json.load(f)
if isinstance(data, dict):
return data
except json.JSONDecodeError:
pass
return {}
def _save_memory(self, data: dict[str, Any]) -> None:
"""Сохраняет память в JSON-файл."""
self.storage_path.parent.mkdir(parents=True, exist_ok=True)
with open(self.storage_path, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2, ensure_ascii=False)
# ------------------------------------------------------------------
# Инструменты без namespace
# ------------------------------------------------------------------
@self.mcp.tool()
def save(key: str, value: Any) -> bool:
"""Сохраняет значение по ключу в память сервера."""
if not isinstance(key, str) or not key.strip():
return False
data = self._load_memory()
data[key] = {"value": value, "timestamp": datetime.utcnow().isoformat()}
self._save_memory(data)
return True
@self.mcp.tool()
def get(key: str) -> Optional[dict]:
"""Возвращает значение по ключу с метаданными."""
if not isinstance(key, str):
return None
data = self._load_memory()
entry = data.get(key)
if entry is None:
return None
return {"key": key, "value": entry["value"], "timestamp": entry["timestamp"]}
@self.mcp.tool()
def delete(key: str) -> bool:
"""Удаляет ключ из памяти сервера."""
if not isinstance(key, str):
return False
data = self._load_memory()
if key in data:
del data[key]
self._save_memory(data)
return True
return False
@self.mcp.tool()
def list_keys(pattern: str = "*") -> list[str]:
"""Возвращает список всех ключей с поддержкой wildcard-паттерна."""
if not isinstance(pattern, str):
pattern = "*"
data = self._load_memory()
import fnmatch
return [k for k in data.keys() if fnmatch.fnmatch(k, pattern)]
# ------------------------------------------------------------------
# Инструменты с namespace
# ------------------------------------------------------------------
@self.mcp.tool()
def save_with_namespace(key: str, value: Any, namespace: str = "default") -> bool:
"""Сохраняет значение с указанием пространства имён."""
if not isinstance(namespace, str) or not namespace.strip():
return False
full_key = f"{namespace}:{key}"
return self.save(full_key, value)
@self.mcp.tool()
def get_by_namespace(namespace: str = "default") -> list[dict]:
"""Возвращает все ключи из указанного namespace."""
if not isinstance(namespace, str) or not namespace.strip():
return []
data = self._load_memory()
prefix = f"{namespace}:"
result = []
for k, v in data.items():
if k.startswith(prefix):
key_part = k[len(prefix) :]
result.append(
{"key": key_part, "value": v["value"], "timestamp": v["timestamp"]}
)
return result
# ----------------------------------------------------------------------
# Запуск сервера
# ----------------------------------------------------------------------
if __name__ == "__main__":
server = MemoryServer()
server.mcp.run(transport="stdio", show_banner=False, log_level="ERROR")