LLMs are great at generating options and bad at telling you which one a real person will prefer. Datapoint MCP closes that loop — your agent can hand
LLMs are great at generating options and bad at telling you which one a real person will prefer. Datapoint MCP closes that loop — your agent can hand off to a panel of real humans and pick up the results a few minutes later. That is what the datapoint mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 14 tools. What each one is for:
setup — Authenticate with your Datapoint AI account (opens browser)upload_media — Upload local images, audio, or video so they can be used in a surveyplan_survey — Design a survey from a natural language descriptioncreate_survey — Launch a survey from a plancheck_survey — Check status, progress, and aggregated resultsget_survey_responses — Get raw per-annotator responses (paginated)list_surveys — List all your surveyspause_survey — Pause task serving for an active survey (in-flight responses keep arriving)resume_survey — Resume task serving for a paused surveycancel_survey — Permanently cancel a survey and refund unused reserved credits (irreversible)check_balance — Check your account balanceadd_credits — Open a checkout link to top up your accountConfiguration is passed through the environment: DATAPOINT_API_KEY, DATAPOINT_BASE_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Plenty of planning and project tracking servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Datapoint MCP's toolset — setup, upload_media, plan_survey and 11 more — is a fair guide to whether it matches your workflow. It is maintained by impel-intelligence; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Datapoint MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| setup | Authenticate with your Datapoint AI account (opens browser) |
| upload_media | Upload local images, audio, or video so they can be used in a survey |
| plan_survey | Design a survey from a natural language description |
| create_survey | Launch a survey from a plan |
| check_survey | Check status, progress, and aggregated results |
| get_survey_responses | Get raw per-annotator responses (paginated) |
| list_surveys | List all your surveys |
| pause_survey | Pause task serving for an active survey (in-flight responses keep arriving) |
| resume_survey | Resume task serving for a paused survey |
| cancel_survey | Permanently cancel a survey and refund unused reserved credits (irreversible) |
| check_balance | Check your account balance |
| add_credits | Open a checkout link to top up your account |
| Cursor | The Cursor tool exposed by this server. |
| Windsurf | The Windsurf tool exposed by this server. |
{
"mcpServers": {
"datapoint": {
"command": "uvx",
"args": ["--from", "git+https://github.com/impel-intelligence/datapoint-mcp.git", "datapoint-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DATAPOINT_API_KEY | Credential the server authenticates with. | Yes |
| DATAPOINT_BASE_URL | Endpoint or connection string the server talks to. | Yes |
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