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.
npx agentmods add skills/knuckles-team/documentdb-mcp/documentdb-aggregation-analyticsnpx skills add Knuckles-Team/documentdb-mcp --skill documentdb-aggregation-analyticsgit clone --depth 1 https://github.com/Knuckles-Team/documentdb-mcpWhat 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.
| Model | Per session | Once 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 |
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.
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— fordistinct(field name + optional MongoDB filter).pipeline— foraggregate: 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"}}}]
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.
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.
- 2d ago First seen · 87 lines · 102 tokens per session scan A f0dbbf60905f
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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