LLM MCP server using HereMaps API
HERE Maps MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. LLM MCP server using HereMaps API.
This project provides a Model Context Protocol (MCP) compliant server that exposes functionalities from the HERE Maps Platform APIs as tools for Language Models.
Once HERE Maps is connected, these are the calls the assistant has available:
Description — ** Convert an address into geographic coordinatesInput — ** address (string)Output — ** JSON with location (lat/lng coordinates), address (formatted address), and idYou will need 3 environment variables: HERE_MAPS_API_KEY, YOUR_HERE_API_KEY, YOU_HERE_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. HERE Maps's toolset — Description, Input, Output — is a fair guide to whether it matches your workflow. It is maintained by limingchina; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Description | ** Convert an address into geographic coordinates |
| Input | ** address (string) |
| Output | ** JSON with location (lat/lng coordinates), address (formatted address), and id |
{
"mcpServers": {
"heremaps": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"],
"env": {
"HERE_MAPS_API_KEY": "your-value",
"YOUR_HERE_API_KEY": "your-value",
"YOU_HERE_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| HERE_MAPS_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_HERE_API_KEY | Credential the server authenticates with. | Yes |
| YOU_HERE_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.