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Context Bridge

Context Bridge - one MCP endpoint for all your dev tools

Problem:

  • Tool sprawl across Jira, Sentry, GitHub, and CI systems.
  • Context fragmentation makes it hard for AI agents to operate across tools.
  • AI agents are currently blind to critical development context (Jira tickets, Sentry alerts, CI status).

Setup:

  1. pip install -r requirements.txt (or necessary dependencies)
  2. Set required environment variables (e.g., API keys for Jira/Sentry).
  3. Add the running MCP server endpoint to your AI environment (e.g., Claude Code or Cursor) as a custom MCP server.

Quick Start

To run the server:

  1. python server.py
  2. Ensure required environment variables are set.

Example

A sample response from get_jira_ticket: {"id": "PROJ-123", "summary": "Fix login bug", "status": "In Progress"}

Tools:

Tool Name Description Status
get_jira_ticket Retrieves mock Jira ticket data by ID. ✅ Implemented
get_sentry_issues Retrieves Sentry alerts. ✅ Implemented
get_github_actions_runs Checks CI/CD status for a repo. ✅ Implemented
send_slack_notification Sends status updates to Slack. ✅ Implemented

License: MIT

Metadata

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