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MCP Integrations Qdrant
MCP & AI Agent Integration

Qdrant
automation.

11 AI agent actions for Qdrant — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Qdrant to automate business processes and connect tools in your stack. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
11
actions
100%
governed
<200ms
latency
11
AI agent actions
5
Read operations
6
Write operations
2
High-risk actions (approval gated)
Business Tools Qdrant is a Business Tools integration — use it to automate business operations and workflow automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Qdrant.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Count Points
qdrant:count_points
Count the number of points in a collection with optional filtering.
Read Low risk
Get Collection
qdrant:get_collection
Get detailed information about a specific collection.
Read Low risk
Get Point
qdrant:get_point
Retrieve a specific point by ID from a collection.
Read Low risk
List Collections
qdrant:list_collections
List all collections in the Qdrant instance.
Read Low risk
Search Points
qdrant:search_points
Search for similar vectors in a collection using semantic similarity.
Read Low risk
Create Collection
qdrant:create_collection
Create a new vector collection with specified configuration.
Write Medium risk
Delete Collection
qdrant:delete_collection
Delete a collection and all its vectors permanently.
Write High risk
Delete Points
qdrant:delete_points
Delete specific points from a collection by their IDs.
Write High risk
Recommend Points
qdrant:recommend_points
Get recommendations based on positive and negative examples.
Write Medium risk
Scroll Points
qdrant:scroll_points
Scroll through points in a collection with optional filtering.
Write Medium risk
Upsert Points
qdrant:upsert_points
Insert or update points (vectors with metadata) in a collection.
Write Medium risk
MCP & Runtime API

Call Qdrant
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Qdrant actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

qdrant:count_points READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "qdrant:count_points",
    "args": {},
    "execution_id": "agent-001"
  }'
qdrant:create_collection WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "qdrant:create_collection",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Qdrant.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Qdrant data
Call qdrant:count_points via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Qdrant
Dry-run validates qdrant:create_collection before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Qdrant
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Qdrant action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Qdrant — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Qdrant action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Qdrant action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Qdrant works best
alongside these.

Build multi-step workflows that connect Qdrant to the rest of your stack. All governed. All audited.

Slack Gmail Hubspot Google Sheets Notion
Qdrant integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Qdrant in minutes, dry-run every action before it touches production, full audit trail on everything.

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