An MCP server for monkeytype.com API that exposes tools for LLM interaction
Monkeytype MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. An MCP server for monkeytype.com API that exposes tools for LLM interaction.
This is a Model Context Protocol (MCP) server that provides access to all endpoints of the MonkeyType API. The server exposes MCP tools that allow Large Language Models (LLMs) to interact with the MonkeyType API.
Once Monkeytype is connected, these are the calls the assistant has available:
check_username — Check if a username is availableget_personal_bests — Get user's personal bestsget_tags — Get user's tagsget_stats — Get user's statsget_profile — Get user's profilesend_forgot_password_email — Send forgot password emailget_current_test_activity — Get current test activityget_streak — Get user's streakget_results — Get up to 1000 test resultsget_result_by_id — Get result by IDget_last_result — Get last resultget_speed_histogram — Get speed histogramYou will need one environment variable: MONKEYTYPE_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.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Monkeytype's toolset — check_username, get_personal_bests, get_tags and 11 more — is a fair guide to whether it matches your workflow. It is maintained by abhinav2006; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Monkeytype's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| check_username | Check if a username is available |
| get_personal_bests | Get user's personal bests |
| get_tags | Get user's tags |
| get_stats | Get user's stats |
| get_profile | Get user's profile |
| send_forgot_password_email | Send forgot password email |
| get_current_test_activity | Get current test activity |
| get_streak | Get user's streak |
| get_results | Get up to 1000 test results |
| get_result_by_id | Get result by ID |
| get_last_result | Get last result |
| get_speed_histogram | Get speed histogram |
| get_typing_stats | Get typing stats |
| get_leaderboard | Get leaderboard |
{
"mcpServers": {
"monkeytype": {
"command": "sh",
"args": ["-c", "cd $(mktemp -d) && npm install monkeytype-mcp && npx monkeytype-mcp"],
"env": {
"MONKEYTYPE_API_KEY": "YOUR_APE_KEY_HERE"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MONKEYTYPE_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.