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spacecode-ai/SpaceBridge-MCP

by Various

MCP server that turbocharges vibe coding by automating issue tracking

S

MCP

spacecode-ai/SpaceBridge-MCP

Added 1 June 2026

Overview

SpaceBridge-MCP is an MCP server that automates issue tracking for developers using AI coding assistants. It connects to GitHub issues and pull requests, allowing the assistant to create, update, and query them directly from the chat interface.

Best for

Best for
Developers using AI coding assistants who want to manage GitHub issues without leaving their editor.

Use cases

  • Automatically create GitHub issues from AI chat prompts
  • Update issue status or assignees without leaving the editor
  • Query open issues and pull requests to inform code changes

How to use

Install

pip install spacebridge-mcp

Tools exposed

  • get_issue_by_id
  • search_issues
  • create_issue
  • update_issue

Tested with

Claude code, Windsurf, Cursor

Example client config

SPACEBRIDGE_API_KEY="YOUR_SB_KEY"\nOPENAI_API_KEY="YOUR_OPENAI_KEY"\nSPACEBRIDGE_ORG_NAME="YOUR_ORG"\nSPACEBRIDGE_PROJECT_NAME="YOUR_PROJECT"

Notes

SpaceBridge-MCP is an MCP server that automates issue tracking for developers using AI coding assistants. It connects to GitHub issues and pull requests, allowing the assistant to create, update, and query them directly from the chat interface.

6 stars on GitHub. Last updated 2025-10-05. Licensed MIT.

Use cases

  • Automatically create GitHub issues from AI chat prompts
  • Update issue status or assignees without leaving the editor
  • Query open issues and pull requests to inform code changes

Pros

  • Streamlines workflow by keeping issue management inside the coding session
  • Simple Python implementation easy to extend or debug
  • Reduces context switching for developers using AI assistants

Cons

  • Limited to GitHub only, no support for other issue trackers
  • Small community with only 6 stars, may lack long-term support
  • Requires manual MCP configuration and API token setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Streamlines workflow by keeping issue management inside the coding session
  • Simple Python implementation easy to extend or debug
  • Reduces context switching for developers using AI assistants

Cons

  • Limited to GitHub only, no support for other issue trackers
  • Small community with only 6 stars, may lack long-term support
  • Requires manual MCP configuration and API token setup
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