Couchbase MCP Server by CData

Created By
CDataSoftwarea year ago
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for Couchbase (beta)](https://www.cdata.com/download/download.aspx?sku=CKZK-V&type=beta).
Overview

What is Couchbase MCP Server by CData?

Couchbase MCP Server by CData is a read-only Model Context Protocol (MCP) server designed to allow large language models (LLMs) to query live data from Couchbase using natural language, without the need for SQL.

How to use Couchbase MCP Server?

To use the Couchbase MCP Server, clone the repository, build the server, install the CData JDBC Driver for Couchbase, configure your connection, and run the server with the appropriate configuration file for your LLM client.

Key features of Couchbase MCP Server?

  • Provides a read-only interface for querying Couchbase data.
  • Allows LLMs to retrieve live information using natural language queries.
  • Simplifies data access without requiring SQL knowledge.

Use cases of Couchbase MCP Server?

  1. Enabling LLMs to answer business intelligence questions based on live Couchbase data.
  2. Integrating with AI clients like Claude Desktop for enhanced data interaction.
  3. Facilitating data retrieval for applications that require real-time insights from Couchbase.

FAQ from Couchbase MCP Server?

  • Can I perform write operations with this server?

No, this server is read-only. For full CRUD capabilities, consider the CData MCP Server for Couchbase (beta).

  • Is there a cost associated with using the Couchbase MCP Server?

The server is free to use under the MIT License.

  • What kind of data sources can I connect to?

The server supports various data sources, including Salesforce, and many others as listed in the documentation.

Server Config

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\couchbase.prp"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
CDataSoftware
Star
-
Language
-
License
-

Recommend Servers

View All
//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

5 hours ago
Mnemom

6 hours ago