documentdb-aggregation-analytics

Read-only analytics for a DocumentDB collection, using pipelines to filter, group, sort, project, and limit records. It can also list the distinct values of a field.

In plain words
What is it for?
It is for counts, grouped metrics, top-value lists, category profiles, minimums and maximums, filtered summaries, and distinct-value lookups.
Why use it?
It summarizes data on the database server, so the agent can profile or compare records without retrieving every document or changing the collection.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/knuckles-team/documentdb-mcp/documentdb-aggregation-analytics
Any agent
npx skills add Knuckles-Team/documentdb-mcp --skill documentdb-aggregation-analytics
Clone the repo
git clone --depth 1 https://github.com/Knuckles-Team/documentdb-mcp

Made for: Claude Code, Codex.

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 924 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00102 $0.00924
Opus 5 $0.00051 $0.00462
Sonnet 5 $0.00020 $0.00185
Haiku 4.5 $0.00010 $0.00092

Measured 2d ago against content hash f0dbbf60905f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

documentdb-aggregation-analytics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

documentdb_mcp/skills/documentdb-aggregation-analytics/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DocumentDB Aggregation & Analytics

Server-side summarization over a collection: MongoDB aggregation pipelines and distinct value enumeration. These stay read-only and push the computation to the server.

When to use

  • Group/roll-up metrics with an aggregation pipeline ($match, $group, $sort, $project, $limit, …).
  • Enumerate the distinct values of a field (optionally filtered).
  • Profile a collection (counts per category, top-N, min/max) without pulling raw rows.

When NOT to use

  • Fetching or mutating individual documents → documentdb-document-crud.
  • Structural changes (create/drop/rename collection, users) → documentdb-collection-admin.
  • Write-stage pipelines ($out / $merge): the tool returns results, treat any materialization as an admin action and confirm intent first.

Prerequisites & environment

Connect via the mcp-client skill against the documentdb-mcp MCP server.

Variable Required Notes
MONGODB_URI one of Full connection URI (wins over host/port)
MONGODB_HOST one of Host when no URI (default localhost)
MONGODB_PORT optional Port when no URI (default 27017)

MCP_TOOL_MODE (condensed|verbose|both) selects the condensed action-routed surface vs. the one-to-one verbose tools.

Tools & actions

Condensed tool Actions
documentdb_analysis distinct, aggregate

Key parameters

  • database_name / collection_name — required.
  • key + filter — for distinct (field name + optional MongoDB filter).
  • pipeline — for aggregate: a list of pipeline stage documents.

Recipes

Distinct values of a field among active docs:

documentdb_analysis action=distinct database_name=app collection_name=users key=country filter={"active":true}

Count errors per service, top 5:

documentdb_analysis action=aggregate database_name=app collection_name=events pipeline=[{"$match":{"level":"error"}},{"$group":{"_id":"$service","n":{"$sum":1}}},{"$sort":{"n":-1}},{"$limit":5}]

Average order value by status:

documentdb_analysis action=aggregate database_name=shop collection_name=orders pipeline=[{"$group":{"_id":"$status","avg":{"$avg":"$total"}}}]

Read the full file on GitHub · 87 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 87 lines · 102 tokens per session scan A f0dbbf60905f

Subscribe to this mod's changes

documentdb-aggregation-analytics is a skill published in the GitHub repository Knuckles-Team/documentdb-mcp (2 stars, last pushed 4d ago), licensed MIT. It adds 102 tokens to every session and 924 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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