"Answer" matching MCP servers:

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

Lets MCP-compatible clients answer natural-language questions about your GitHub activity, such as counting today's commits across all your repositories via the GitHub REST API.

Syncs GitHub pull request and review activity into a local database and exposes tools that let Claude answer questions like what's blocking you or summarize PR activity since a given time.

Consolidates git history, test results, and Copilot sessions into a searchable SQLite database for AI assistants to answer questions about development activity.

Enables AI assistants to answer natural-language GitHub queries by listing repositories, issues, pull requests, branches, commits, and files, as well as performing writes with dry-run and confirmation safeguards.