MCP server

Nomic Atlas MCP by usefulapi

io.usefulapi/nomic-atlas

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Semantic nearest-neighbour search over your datasets, plus indices and projections.

Website Source

At a glance

Type

MCP server

Publisher

usefulapi.io (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 1,235 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http nomic-atlas https://nomic-atlas.usefulapi.io/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.nomic-atlas]
url = "https://nomic-atlas.usefulapi.io/mcp"

Gemini CLI

{"mcpServers":{"nomic-atlas":{"httpUrl":"https://nomic-atlas.usefulapi.io/mcp"}}}

Cursor

{"mcpServers":{"nomic-atlas":{"url":"https://nomic-atlas.usefulapi.io/mcp"}}}

VS Code

{"servers":{"nomic-atlas":{"type":"http","url":"https://nomic-atlas.usefulapi.io/mcp"}}}

Antigravity

agy mcp add nomic-atlas https://nomic-atlas.usefulapi.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"nomic-atlas","server_url":"https://nomic-atlas.usefulapi.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"nomic-atlas","server_url":"https://nomic-atlas.usefulapi.io/mcp"}

Tools

• nomic_get_dataset ~107 tokens
  Fetch a dataset (Atlas calls it a project) by id — its schema, size, indices and projections. Atlas: GET /v1/project/{id}.
• nomic_get_dataset_by_slug ~153 tokens
  Fetch a dataset by organisation slug and dataset slug — the human-readable path, and usually easier than finding the UUID. Atlas: GET /v1/project/{organization_slug}/{project_slug}.
• nomic_get_index_job ~126 tokens
  Fetch the status of an index-building job. Atlas indexes take time to build, and a vector search against an unbuilt map fails — this is how you tell which it is. Atlas: GET /v1/project/index/job/{job_id}.
• nomic_get_organization ~102 tokens
  Fetch an organisation by slug, with the datasets it holds. Atlas: GET /v1/organization/{slug}.
• nomic_get_projection_schema ~114 tokens
  Fetch the field schema of one projection — the columns available on its records. Atlas: GET /v1/project/projection/{projection_id}/schema.
• nomic_get_tag_status ~141 tokens
  Check whether a tag has finished computing its membership. A tag that is still building returns partial results. Atlas: GET /v1/project/projection/tags/status.
• nomic_get_user ~89 tokens
  Fetch the account the API key belongs to, including the organisations it can access. Start here — the organisation slug feeds the other tools. Atlas: GET /v1/user.
• nomic_list_tags ~133 tokens
  List the tags defined on one projection — the labelled selections a person made on the map. Atlas: GET /v1/project/projection/tags/get/all.
• nomic_nearest_neighbors_by_id ~270 tokens
  Semantic search: given the ids of records already in a dataset, return their nearest neighbours in embedding space, with distances. This is what Atlas is for — finding what resembles what across unstructured data. Needs a BUILT index; if the map is still building the call fails with a 500, so check

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