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Use natural language to query GitHub and SQL databases for development tasks.
This MCP tool claims to provide GitHub API operations and SQL database querying, which implies code execution and access to external services/databases, but the materials do not specify installation details, permission boundaries, or endpoints. The open-source repository lowers some risk, but low adoption and missing maintenance/license details keep the overall rating at caution.
The material states there are no required keys/environment variables, but the claimed GitHub API and SQL database features commonly involve access tokens or database credentials in real deployments; the documentation does not explain credential sourcing, storage, or least-privilege boundaries.
Although the registry entry lists no remote endpoints, the description explicitly includes GitHub API operations, and SQL queries may also target remote databases; this implies potential data egress to services related to its stated purpose. The material does not list specific hosts, transmitted data types, or controls to limit egress.
The system flags executes-code, indicating the tool can execute code locally and/or start service processes; this is a common MCP tool characteristic. The provided material does not disclose what system commands it may invoke, whether sandboxing exists, or what execution limits apply.
Its stated functionality includes interacting with GitHub repositories and querying SQL databases, which may involve reading or modifying repository content, issue data, or database records. The material does not specify read-only vs. read-write scope, supported database types, or whether local files are accessible, so excessive access cannot be ruled out.
There is a public GitHub repository and it is marked open-source, which is a positive signal; however, the license is unspecified, community adoption is 0 stars, maintenance status is unknown, and the README is absent, limiting confidence in auditability and ongoing maintenance. There is not enough concrete evidence to rate it as high risk, but the source maturity is limited.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp" yet — see the docs or source repo.
Review the GitHub repository for issues opened and PRs merged in the last 30 days, then summarize counts and the most active contributors.
A summary of issue and PR counts, plus active contributors and recent collaboration insights.
Connect to the SQL database and calculate revenue, order count, and average order value by product line for the last 90 days, then identify the top three fastest-growing ones.
Structured query results with key metric summaries and growth performance analysis.
Investigate a feature issue: first inspect recent related commits and change history on GitHub, then query anomalous records in the database and suggest likely causes.
An analysis linking code changes and data anomalies, with likely causes and troubleshooting directions.
Manage GitHub repositories, pull requests, issues, and workflows with natural language.
Manage GitHub repositories, issues, and pull requests through natural language.
Create GitHub repositories quickly through MCP to start projects and collaboration.
Manage GitHub repositories, branches, pull requests, and commits through an MCP server.
Manage GitHub repositories, issues, and pull requests through MCP or REST.
Run GitHub GraphQL queries and mutations to retrieve and manage repository data.