"Troubleshooting and debugging errors" matching MCP servers:

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

Provides AI assistants with secure, read-only access to ShadowGit repositories for debugging and code analysis. Enables powerful analysis of fine-grained git history captured automatically by ShadowGit's continuous commit tracking.

Enables AI assistants to search and explore Chromium and PDFium source code, check Gerrit code reviews with test results and bot errors, search issues, and analyze commit history through Google's official APIs.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

An MCP server that standardizes and binds development tool patterns, enabling AI assistants like Claude Code to generate code more efficiently with fewer errors and better autocorrection.

Enables AI agents to manage Plyo projects, including saving checkpoints, publishing updates, restoring previous versions, backing up data, and monitoring build errors.

Enables models to query enterprise systems—structured data, live GitHub REST API, and unstructured document embeddings—through a single, per-caller scoped MCP tool surface with task-shaped tools and recovery-aware errors.

Automates error tracking workflow by finding code owners in Bitbucket, retrieving related pull requests, and creating assigned JIRA tickets for code errors.

Connects AI assistants to SAP systems through the ABAP Development Tools API, exposing 85 tools that cover the full ABAP development lifecycle — reading and writing source, creating and activating objects, managing transports, running syntax/ATC checks and unit tests, querying tables, refactoring, remote debugging, tracing, and executing code — all without SAP GUI. Supports single- or multi-system landscapes with credentials supplied by the MCP client at launch.

Enables read-only integration with GitHub, Jenkins, and Artifactory for DevOps monitoring, analysis, and troubleshooting. Provides repository inspection, build log retrieval, and artifact management through natural language.

Turns application errors into reviewed pull requests by automating root-cause analysis, Jira ticket creation, local and CI test gates, and GitHub PRs, with a human as the final merge gate.

Enables AI agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.

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.

A filesystem-based MCP server for AI coding agents to coordinate work across git worktrees by claiming files, checking for conflicts, and logging progress without affecting the repository's git history.

Enables LLMs to efficiently navigate and analyze large diff files by providing pattern-based chunk navigation, allowing direct access to relevant changes without loading entire diffs into context.

myopic is a code-review MCP server that reviews GitLab/GitHub merge requests against the whole codebase, not just the diff, analyzing blast radius and conventions.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Generates a daily standup note from GitLab merge request or GitHub pull request state: what is ready to merge, what is blocked, what is stale, and what is waiting on your review. When CI is red it opens the failed job's log and reports the error lines, so the note says why the pipeline failed rather than just that it did.