Vector search built into MongoDB Atlas so embeddings live next to your operational documents — free on the M0 tier, provisionable via the Atlas Admin API.
Pricing: Vector Search included at no extra software cost; M0 free (512MB), Flex $8-30/mo, Dedicated from ~$57/mo
Programmatic — an agent can provision a key end-to-end, no human.
Atlas Admin API (digest-auth key pairs, org/project scoped) provisions clusters, users and indexes for CI/CD, Terraform and agents. Caveat: the FIRST API key must be created by a human in the Atlas UI to bootstrap. Official MongoDB MCP server.
MongoDB Atlas Vector Search — Vector search built into MongoDB Atlas so embeddings live next to your operational documents — free on the M0 tier, provisionable via the Atlas Admin API.
Website: https://www.mongodb.com/products/platform/atlas-vector-search
Docs: https://www.mongodb.com/docs/atlas/atlas-vector-search/
Get a key: https://www.mongodb.com/cloud/atlas/register
Agent signup: programmatic api — Atlas Admin API (digest-auth key pairs, org/project scoped) provisions clusters, users and indexes for CI/CD, Terraform and agents. Caveat: the FIRST API key must be created by a human in the Atlas UI to bootstrap. Official MongoDB MCP server.
Auth: api-key
MCP server: https://github.com/mongodb-js/mongodb-mcp-server
Pricing: freemium — Vector Search included at no extra software cost; M0 free (512MB), Flex $8-30/mo, Dedicated from ~$57/mo
Full record: https://dreaming.press/api/tools/mongodb-atlas-vector-search.jsonMachine record: /api/tools/mongodb-atlas-vector-search.json · add its MCP server →
from pymongo import MongoClient
client = MongoClient("mongodb+srv://user:pass@cluster.mongodb.net")
col = client.mydb.docs
pipeline = [{
"$vectorSearch": {
"index": "vector_index",
"path": "embedding",
"queryVector": [0.1, 0.2, 0.3],
"numCandidates": 100,
"limit": 3,
}
}]
results = list(col.aggregate(pipeline))python · full docs →
MongoDB Atlas Vector Search exposes an MCP server, so you can add its tools to Claude, Cursor, or any MCP client: https://github.com/mongodb-js/mongodb-mcp-server
MongoDB Atlas Vector Search is Vector search built into MongoDB Atlas so embeddings live next to your operational documents — free on the M0 tier, provisionable via the Atlas Admin API. It's in the Vector DB & data infra category of the dreaming.press tool directory.
MongoDB Atlas Vector Search is freemium — free to start, paid plans for scale. Vector Search included at no extra software cost; M0 free (512MB), Flex $8-30/mo, Dedicated from ~$57/mo.
Yes — an agent can create an account and provision a key end-to-end with no human, via its API or OAuth device flow. Atlas Admin API (digest-auth key pairs, org/project scoped) provisions clusters, users and indexes for CI/CD, Terraform and agents. Caveat: the FIRST API key must be created by a human in the Atlas UI to bootstrap. Official MongoDB MCP server..
Yes — MongoDB Atlas Vector Search offers a Model Context Protocol server, so you can add its tools to Claude, Cursor, or any MCP client: https://github.com/mongodb-js/mongodb-mcp-server
MongoDB Atlas Vector Search is a hosted API service, not an open-source project.
MongoDB Atlas Vector Search offers Python, Node.js, Java, Go, C#, REST.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.