"Information about bug classification" matching MCP servers:

Enables multiple agents to file, label, comment on, and close issues in a shared git-bug store while the git-bug web UI remains open, with rule enforcement and safe concurrent writes.

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

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

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

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.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

Enables AI agents to ask read-only questions about a repository's history through GitHub APIs, including blame, path history, merge base, PR association, diffs, and file contents, with aggressive caching and no clone required.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

MCP server that gives LLMs full visibility into your ws-cli workspace tree, enabling queries about workspaces, git status, tasks, and saved browser tabs.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

Enables autonomous triage of GitHub issues and pull requests through MCP, with classification, deduplication, prioritization, and safe human-in-the-loop actions.

Connects Claude Desktop and Claude Code to Bitbucket Cloud, enabling searching PRs, commits, diffs, and file content for AI-assisted bug triage and impact analysis.

Enables AI assistants to answer questions about nixpkgs packages using nixkeeper's public data, covering outdated versions, Hydra build status and failures, update-bot attempts, related PRs and issues, CVEs, and what needs attention for a maintainer or team. It runs locally over stdio, reads only public data, and requires no account or token.

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

Enables querying the latest commit information for any file in the Chromium repository, including commit hash, author, timestamp, message, and modified files through the Gitiles API.

A Model Context Protocol server that integrates Cursor IDE with Bitbucket Cloud, allowing developers to fetch repository information and commit data directly from their Bitbucket workspace.

MCP server for PixelFixer, a visual bug tracking and kanban board tool. Connects AI agents to your PixelFixer projects.

Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.

Provides tools for accessing, comparing, and analyzing GitHub repository releases with rich formatting and detailed information.

Deterministic, offline root-cause analysis for coding agents: find the commit that introduced a bug, and verify a fix is complete before committing.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

An MCP server for gitingest. It allows MCP clients like Claude Desktop, Cursor, Cline etc to quickly extract information about Github repositories including repository summaries, project directory structure, file contents, etc

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

An MCP server that enables Claude and other compatible LLMs to interact with the GitHub API, supporting features like creating issues, retrieving repository information, listing issues, and searching repositories.

Enables AI-powered GitHub issue management by converting natural-language bug reports into structured issues, detecting duplicates via semantic analysis, and requiring human approval before creating issues on GitHub.