Street View Publish API

MCP Server generated by mcp.ag2.ai

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "ag2-mcp-servers-street-view-publish-api": {
      "command": "python",
      "args": [
        "mcp_server/main.py",
        "stdio"
      ],
      "env": {
        "CONFIG": "{\"transport\":\"stdio\",\"server\":\"streetview\"}",
        "SECURITY": "API_KEY=YOUR_API_KEY",
        "CONFIG_PATH": "PATH_TO_CONFIG.json"
      }
    }
  }
}

You run a local MCP server that exposes the Street View Publish API via a Model Context Protocol (MCP) interface. This lets MCP clients interact with the Street View Publish API in a consistent, streaming-friendly way, enabling automated workflows, testing, and integration with other MCP-enabled tools.

How to use

Start the MCP server in a local, stdio-based mode to run as a process on your machine. You then connect MCP clients to the running server through the standard MCP transport. The server reads configuration from environment variables or a configuration file if you provide one. Use the server to initiate operations against the Street View Publish API, query available contexts, and perform actions supported by the MCP interface.

How to install

# Prerequisites
# Ensure you have Python 3.9+ installed
# Install the required runtime components

# Option A: install dependencies directly
pip install -e ".[dev]"

# Option B: use uv as the runtime launcher
uv pip install --editable ".[dev]"

# Start the MCP server in stdio mode (from a project root)
python mcp_server/main.py stdio

Configuration and runtime options

Configure the MCP server using environment variables. The supported options are:

CONFIG_PATH: Path to a JSON configuration file (for example, mcp_server/mcp_config.json).
CONFIG: A JSON string containing the configuration.
SECURITY: Environment variables for security parameters (for example, API keys).

Notes on running and environment

To start the server with a custom configuration file, set CONFIG_PATH to the path of your JSON configuration and then run the stdio startup command.

Available tools

ruff

Lints and formats code to enforce style and quality guidelines.

mypy

Performs static type checking to catch type errors before runtime.

pytest

Executes tests to verify functionality and regressions.

hatch

Builds and publishes the MCP project.