Mongodb
CheckedConnects to and queries MongoDB databases using provided credentials and specified query language.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bobmatnyc/claude-mpm-skills --skill mongodb -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bobmatnyc
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 718070a7d6
- Scanned
- 2 files, 860 lines
About this skill
What it does
This skill enables AI agents to interact directly with MongoDB databases, allowing them to perform data operations without manual intervention. It streamlines workflows by giving agents the ability to query, update, and manage documents within a MongoDB instance autonomously.
When to use it
- Automating routine data extraction tasks from large document collections.
- Updating user records or inventory levels in real-time based on incoming events.
- Performing ad-hoc data analysis queries to generate reports without writing SQL.
- Managing database schemas or cleaning up stale documents programmatically.
Key capabilities
- Direct connection and interaction with MongoDB instances.
- Execution of read operations to retrieve specific documents or collections.
- Performance of write operations to insert, update, or delete data.
- Autonomous handling of database queries within an AI agent's workflow.
Example prompts
- "Connect to our production MongoDB cluster and retrieve all user accounts created in the last 24 hours."
- "Update the status field to 'completed' for every document where the project ID matches 'PROJ-101'."
- "Query the inventory collection and list any items where stock levels are below 50 units."
Tips & gotchas
Ensure your AI agent has the correct connection string, database name, and read/write permissions configured before attempting to execute operations. Always validate the specific collection names and field structures in your MongoDB instance to avoid data corruption or query errors.