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Securely connect LLMs to MongoDB, GitHub, and sandboxed filesystems.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Modular MCP Server" yet — see the docs or source repo.
Use Modular MCP Server to connect to my GitHub repository and MongoDB, find code changes related to the payment module from the last two weeks, and summarize matching order anomaly data into an investigation report.
An investigation summary combining code commits and database anomalies to help identify the root cause.
Using Modular MCP Server, read error logs from the logs directory in the sandboxed file system, group them by date, and generate a Markdown file listing this week’s most frequent errors.
A structured error summary and a weekly Markdown report saved in the sandbox.
Connect to GitHub and the sandboxed file system, review recently merged deployment script changes, identify potential security risks, and produce an audit report with severity levels and remediation suggestions.
A deployment script review report including risks, impact notes, and remediation recommendations.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Safely read, write, search, and manage files in a sandboxed environment.
Connect AI to MongoDB for CRUD, schema discovery, and collection management.
Connect GitHub and local files to share standards, docs, and prompts with AI.
Connect to MongoDB for queries, document management, schema analysis, and operations.
Securely query and analyze MongoDB with AI-driven schema and relationship discovery.