MCP Blog API

MCP Blog API

A simple blog API service built with FastMCP that allows users to fetch all blogs, search for blogs by title, and add new blog posts.

Category
Visit Server

README

MCP Blog API

A simple blog API service built with FastMCP and httpx. This project supports uv for fast, reliable Python package management and environment setup.

Description

This project provides a set of API tools to interact with a mock blog API service. It allows users to fetch all blogs, search for blogs by title, and add new blog posts. The project includes a uv.lock file for reproducible dependency management.

Features

  • Fetch all blogs from the mock API
  • Search for blogs by title
  • Add new blog posts

Requirements

  • Python 3.13 or higher
  • httpx 0.28.1 or higher
  • mcp 1.9.0 or higher

Installation

Using uv (Recommended)

# Clone the repository
git clone https://github.com/yourusername/mcp-blog.git
cd mcp-blog

# Install dependencies with uv
uv pip install -e .

Using pip

# Clone the repository
git clone https://github.com/yourusername/mcp-blog.git
cd mcp-blog

# Install dependencies
pip install -e .

Usage

# Import the MCP server
from main import mcp

# Get all blogs
blogs = mcp.tools.get_blogs()

# Search for blogs by title
search_results = mcp.tools.search_blogs(query="Python")

# Add a new blog
new_blog = mcp.tools.add_blog(title="My New Blog", body="This is the content of my new blog post.")

Running the Server

Using uv (Recommended)

uv python main.py

Using standard Python

python main.py

Environment Management

Using uv (Recommended)

uv provides fast environment management for Python projects. Here's how to create and manage a virtual environment for this project:

# Create a new virtual environment
uv venv

# Activate the virtual environment
# On Unix/macOS
source .venv/bin/activate
# On Windows
.venv\Scripts\activate

# Install dependencies in the virtual environment
uv pip install -e .

# Update dependencies
uv pip sync

API Reference

get_blogs()

Fetches all blogs from the mock API.

search_blogs(query: str)

Searches for blogs by title using the mock API.

add_blog(title: str, body: str)

Adds a new blog to the mock API.

License

[Add your license information here]

Contributing

[Add contribution guidelines here]

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured