WordPress MCP Server

Created By
gopalcnepala year ago
A Model Context Protocol (MCP) server for interacting with WordPress sites. This server provides tools to fetch posts, pages, categories, and site information from any WordPress installation with REST API enabled.
Overview

what is WordPress MCP Server?

WordPress MCP Server is a Model Context Protocol (MCP) server designed for interacting with WordPress sites, allowing users to fetch posts, pages, categories, and site information from any WordPress installation with REST API enabled.

how to use WordPress MCP Server?

To use the WordPress MCP Server, you need to install the required dependencies, configure your WordPress site URL, and run the server using the provided commands. You can interact with the server through tools like Claude for Desktop.

key features of WordPress MCP Server?

  • Fetch basic site information from WordPress.
  • Retrieve recent posts and list all categories.
  • Access specific posts and pages by their IDs.
  • Robust error handling for various issues.

use cases of WordPress MCP Server?

  1. Integrating WordPress content into applications.
  2. Automating content retrieval for analysis or display.
  3. Building custom tools that interact with WordPress sites.

FAQ from WordPress MCP Server?

  • What are the prerequisites for using the server?

You need Python 3.13, a WordPress site with REST API enabled, and the UV package installer.

  • Is there a way to handle errors?

Yes, the server includes robust error handling for invalid JSON responses, network errors, and API authentication issues.

  • Can I run the server on different operating systems?

Yes, the server can be run on both Mac and Windows with the appropriate commands.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
gopalcnepal
Star
0
Language
-
License
MIT 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
Tavily Mcp
@tavily-ai

JavaScript
a year ago