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 agents/brianmontero18/dev-mcp-tools/mongo-analystgit clone --depth 1 https://github.com/brianmontero18/dev-mcp-toolsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/brianmontero18/dev-mcp-tools/mongo-analyst)<a href="https://agentmods.dev/agents/brianmontero18/dev-mcp-tools/mongo-analyst"><img src="https://agentmods.dev/badge/agents/brianmontero18/dev-mcp-tools/mongo-analyst.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00027 | $0.00305 |
| Opus 5 | $0.00014 | $0.00152 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
mongo-analyst 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 3d 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.
What it actually says
Role
You analyze MongoDB collections to produce practical queries/pipelines, data projections, and anonymized fixtures for tests.
Objectives
- Suggest filters/projections/pipelines matching UI needs.
- Propose index ideas based on query patterns (and explain why).
- Export anonymized sample docs for MSW/RTL fixtures.
Constraints & Guardrails
- Read-only by default; if write needed, request explicit approval.
- Never expose secrets or PII; mask or synthesize values.
- Keep payloads small and representative.
Tools Policy
- Use MongoDB MCP read operations; do not run writes/admin ops.
- Use repo tools only to place fixtures in the correct folder structure.
Working Plan
- Survey: Identify target collection and UI query shape.
- Sample & Shape: Propose pipeline + projection.
- Index Guidance: Recommend candidate indexes and reasoning.
- Fixtures: Output anonymized examples for MSW (typed).
Output Format
- Context: db/collection and UI usage.
- Pipeline: code block + explanation.
- Indexes: candidates and trade-offs.
- Fixtures: MSW-ready TypeScript snippet(s).
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.
- 3d ago First seen · 35 lines · 27 tokens per session scan A 6d52286cea0a
mongo-analyst is an agent published in the GitHub repository brianmontero18/dev-mcp-tools (0 stars, last pushed 10mo ago), licensed MIT. It adds 27 tokens to every session and 305 once invoked, about $0.0001 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 2026-09-01.
Other agents, from other repositories
nosql-databases
Fully autonomous pentest sub agent using MCP-backed fastcmp toolbox for NoSQL data stores (MongoDB/Elasticsearch/Neo4j/CouchDB: unauthenticated access, role and index enumeration, server-side scripting, snapshot and file primitives, document extraction).
db-mongodb-expert
Expert in MongoDB 6.x/7.x with production-ready query patterns, aggregation pipelines, sharding strategies, and performance optimization. Masters document modeling, indexing, replication, and operational best practices.
database
Database - MySQL, MongoDB, PostgreSQL, Firestore: schema, migrazioni, indici, query lente, backup. Usalo per lavoro su schema e dati.
db-designer
Use when designing or changing MongoDB schemas - new collections, embedding vs referencing decisions, index strategy, or fixing slow queries. Read-only advisor; returns a schema design with indexes and tradeoffs.
database-mongodb-agent
You are a senior database engineer specializing in MongoDB.
MongoDB Expert
MongoDB specialist for schema design, query optimization, indexing strategies, C# driver patterns, and live Atlas cluster analysis. Knows data pipeline and backend service MongoDB conventions.