Which AI agents and IDEs are compatible with the GitHub Issue Manager?

This skill is an MCP (Model Context Protocol) server designed for Claude Desktop, Cursor, Windsurf, Opencode, Pi Agent, Hermes and Claude Code, allowing these agents to interact directly with your GitHub repositories.

How does this skill handle GitHub's rate limits and context window overflow better than a standard prompt?

Unlike generic prompts, this skill uses a production-grade server with built-in rate limiting, automatic body truncation to prevent context window bloat, and a read-only kill switch for maximum security.

What are the technical requirements for installing and configuring this server?

Setup requires Python 3.14+, a fine-grained Personal Access Token (PAT), and adding the server configuration to your host's mcp.json file as detailed in the included documentation.

Can this skill be used to manage Pull Requests or delete repositories?

To ensure project safety, this skill is strictly limited to issue management (creation, listing, and state changes) and does not have the permissions to modify repository settings, manage pull requests, or post comments.

Is there a way to prevent the AI from creating unauthorized or messy labels?

Yes, the skill includes a label allowlist feature, ensuring your AI agent only applies authorized tags to issues and preventing the creation of accidental or messy labels.

Works with the AI Agents you already use

+22 more

+18 agents

GitHub-Issues Manager

Production-grade MCP server for safe, validated GitHub issue management with safety kill switches and rate limiting.

Free

Security scanned

GitHub-Issues Manager

Example session with this skill installed

I found a bug where the login form doesn't validate email format. Create a GitHub issue labeled 'bug' and assign it to @alice.

Read your context and instructions
Compiled the github-issues manager

I have created the issue in the repository. It has been labeled and assigned as requested.

GitHub Issue Created

Field	Value
Issue Number	42
Title	Login form doesn't validate email format
Status	Open
Assignee	alice
Labels	bug
URL	https://github.com/owner/repo/issues/42

Next steps

Verify the issue content and formatting on GitHub.
Use add_label if you need to add a priority level like high-priority.
Monitor for Alice's response or linked commits.

Connects securely to your tools. The creator never sees your data.

About this skill

Managing GitHub issues through an AI agent often leads to context window bloat, accidental deletions, or rate limit crashes. This skill provides a production-grade MCP server that bridges your agent to GitHub with strict safety boundaries and validated tool calls.

What it does

Issue Creation generates new issues with structured titles, bodies, labels, and assignees.
Filtered Listing retrieves open issues while automatically excluding pull requests to reduce noise.
Smart Retrieval fetches full issue details with automatic body truncation to prevent context overflow.
State Management closes issues with specific tracking for completed versus not-planned status.
Label Validation adds labels using an allowlist to prevent unauthorized or messy tagging.

How it works

Configure your repository and fine-grained PAT in the .env file.
Register the server in your MCP host's mcp.json file.
Use natural language to trigger tools like create_issue, list_open_issues, or close_issue.
Monitor tool annotations for safety hints before the agent executes destructive actions.

Frameworks & tools

Built with Python 3.14+, Pydantic, and the Model Context Protocol (MCP). It integrates with Claude Desktop, Cursor, Windsurf, and Claude Code.

Why this beats prompting it yourself

Generic prompts often fail to handle GitHub's rate limits or context limits, causing agents to hallucinate issue states. This skill enforces a defense-in-depth security model with a read-only kill switch and idempotent operations that a standard prompt cannot guarantee.

Use cases

Triage Automation to log, label, and assign incoming bug reports from chat.
Backlog Cleanup to scan stale issues and close irrelevant ones at scale.
Sprint Management to pull issue details for effort estimation and priority tagging.
Workflow Safety to give agents write access without risking repository settings or webhooks.

Known limitations

Does not support pull request management, comments, or repository settings. Designed for standard GitHub repositories, not tested for GitHub Enterprise Server.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.