MCPDatabasesSSE

Created By
alvnavraiia year ago
SSE Versión of the MCPDatabases server
Overview

what is MCPDatabasesSSE?

MCPDatabasesSSE is a server designed for managing databases using the MCP framework, specifically optimized for Server-Sent Events (SSE).

how to use MCPDatabasesSSE?

To use MCPDatabasesSSE, set up the server by running the provided Python script and connect to it using the specified database management commands.

key features of MCPDatabasesSSE?

  • Supports multiple database operations such as querying, inserting, updating, and deleting records.
  • Utilizes Server-Sent Events for real-time data updates.
  • Easy integration with PostgreSQL and SQLite databases.

use cases of MCPDatabasesSSE?

  1. Real-time database management for web applications.
  2. Efficient handling of database queries and updates in a server environment.
  3. Integration with other services that require live data feeds.

FAQ from MCPDatabasesSSE?

  • What databases does MCPDatabasesSSE support?

MCPDatabasesSSE supports PostgreSQL and SQLite databases.

  • How do I start the server?

You can start the server by running the main Python script provided in the project.

  • Is there any documentation available?

Yes, you can find the documentation on the project's GitHub page.

Server Config

{
  "mcpServers": {
    "SqliteManagement": {
      "command": "/home/slendy/MCPProjects/DataBase/.venv/bin/python",
      "args": [
        "/home/slendy/MCPProjects/DataBase/main.py",
        "--engine",
        "sqlite",
        "--url",
        "sqlite:////home/slendy/MCPProjects/DataBase/ecommerce.db"
      ]
    },
    "PostgressManagement": {
      "command": "/home/slendy/MCPProjects/DataBase/.venv/bin/python",
      "args": [
        "/home/slendy/MCPProjects/DataBase/main.py",
        "--engine",
        "postgresql",
        "--url",
        "postgresql://postgres:postgres@localhost:5433/ecommerce"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
alvnavraii
Star
-
Language
-
License
-
Category
databases

Recommend Servers

View All
Mnemom

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Docwand

13 hours ago