"Creating Jira tickets from Slack messages" matching MCP servers:

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

MCP server for detecting publisher telemetry pipeline leaks in binary artifacts by scanning for sensitive strings like Sentry DSNs, Slack tokens, and AWS keys.

MCP server for structured Laravel project planning. Scans projects, creates tickets, and exports as JSON.

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

AI-powered codebase health analysis — detects dead code, circular dependencies, coupling issues, and architectural drift. 6 MCP tools for Claude Desktop, Cursor, Windsurf, and Slack.

Enables AI coding agents to retrieve cited git-history explanations for files and tickets, compile a Team Engineering Contract from repository artifacts, and follow guided Understand/Build workflows over MCP stdio. It lets clients such as Grok, Claude Code, Codex, Kiro, and Cursor share the same tools for evidence-backed repository understanding.

An MCP server that uses AI to analyze code diffs and transform vague commit messages into readable, conventional commit history. It helps maintain project documentation quality by challenging unclear messages and suggesting improvements based on actual code changes.

Fetches GitHub Code Scanning alerts and applies minimal local patches to fix vulnerabilities, without creating branches, commits, or PRs.

Enables MCP clients to scan codebases, persist and prioritize security findings against SLAs, retrieve CVE details, propose fixes, and create tickets through its tools. It also supports agent-assisted remediation drafting while enforcing human approval and preventing auto-merge.

A Model Context Protocol server that generates pull request descriptions, commit messages, and code reviews from actual code changes using git diff.

A standalone Node.js MCP server designed for Memory Bank workflows that enables users to generate project-specific documentation from codebases. It provides tools for creating execution instructions and retrieving structured documentation context, specifically for the iOS stack.

Provides MCP tools for GitHub code search, Jira sprint status, pull request risk analysis, and project metrics, enabling agentic workflows for developer productivity.

MCP server that uses Recursive Language Models to analyze codebases hierarchically, creating a persistent, queryable knowledge map to overcome context window limits and prevent context rot in RooCode.

Automates Close-to-Shore methodology for Godot game development by creating tasks in Shrimp MCP from hop plans and generating interactive visualizations of signal architectures, dependencies, and project metrics.

Gives OpenAI Codex behavioral history from workspace.json, exposing file fragility and co-change partners as tools to enforce safer edits and block incomplete patches.

Enables coding or reasoning agents to request structured judgments from TypeSafe's Jev model at decision points, including choices, scores, claim verification, and code reviews, with probabilities and confidence returned as data.

A local guardrail MCP server that checks agent-written code against a repo's own patterns — learned statistically from its git history, no LLM.

MCP server that lets AI agents search and inspect shadcn components from the encode-ui registry, returning metadata, source code, and install commands.

Enables Claude Code to request independent code reviews and second opinions from other AI models (like Gemini, GPT-OSS) via the Antigravity CLI, directly from the chat.

MCP server for the ReactUse library. Exposes 110+ React Hook signatures, examples, and API metadata so AI coding assistants can discover and use any hook from @reactuses/core directly.