agents · CAT-30031039 · rev 1.0|
Qdrant MCP Server — @qdrant-mcp-server
5.0Reviews ▾
Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider Qdrant
Last review 2026-08-16
What you get
the numbers that matterPriced on scope
starting price
≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface — design, delivery, on-call — and is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged — no status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default — no bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
What it connects
Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.
What engineering teams can do
Example workflow: Store this architectural decision in the engineering memory and retrieve related decisions about event ordering.
Enterprise MCP Gateway deployment
Grade B (compatible with controls): local/stdio, tokens, self-hosted or broader write surface. Default posture: deploy through a managed bridge or isolated runtime.
Server-specific posture: Treat stored context as an enterprise data set; enforce collection boundaries and avoid mixing sensitive tenants.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymizedWorks inside your stack
surfaces this operator binds toBoundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Live telemetry
this operator's system surfacePricing
one number · one footnotePriced on scope
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is Qdrant MCP Server priced?+
Priced on scope — request a quote and pricing is computed from the work envelope.
Is Qdrant MCP Server available now?+
Yes — it is published and deployable directly from the Scrums.com catalog.
Can a Qdrant MCP Server deployment be reversed?+
Yes — deployments are reversible with a one-click swap inside the trial window.
Who provides Qdrant MCP Server?+
Qdrant, vetted by the Scrums.com platform.
How it compares
vs other agents| Option | From | Stack | Status |
|---|---|---|---|
| Qdrant MCP Server · this one | Priced on scope | mcp · qdrant · vector database | ● available |
| Pinecone MCP Server | Priced on scope | mcp · pinecone · vector database | ● available |
| Databricks SQL MCP Server | Priced on scope | mcp · databricks · sql | ● available |
| Databricks Genie One MCP Server | Priced on scope | mcp · databricks · genie | ● available |
Commonly deployed with
more agentsPinecone MCP Server
Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.
Databricks SQL MCP Server
Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.
Databricks Genie One MCP Server
For teams using Databricks, Databricks Genie One MCP Server exposes natural-language access to Genie One over enterprise data with grounded answers and source links to MCP-capable engineering tools. In an engineering organization, this can give engineering leadership conversational access to trusted operational and business data models.
Priced on scope