About context-bridge
context-bridge is an MCP server that brings development context from tools such as Jira, Sentry, and GitHub Actions to a single endpoint for AI agents. It also provides a Slack status notification tool; the README identifies some data as mock data.
Key features
- 01Fetch Jira tickets by ID
- 02Retrieve Sentry issues
- 03Check GitHub Actions run status
- 04Send Slack status notifications
Use cases
- 01Let an AI agent check ticket progress
- 02Review alerts alongside CI status
- 03Send status updates through Slack
MCP support
context-bridge exposes development-data lookup and Slack notification tools as an MCP server. Its README describes adding the running server endpoint to AI environments such as Claude Code or Cursor.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx context-bridge-mcpJIRA_BASE_URLYour Jira instance URL (e.g., https://yourcompany.atlassian.net)JIRA_EMAILYour Jira account emailJIRA_API_TOKENSecretYour Jira API tokenSENTRY_ORG_SLUGYour Sentry organization slugSENTRY_AUTH_TOKENSecretYour Sentry auth tokenGITHUB_PERSONAL_ACCESS_TOKENSecretYour GitHub Personal Access TokenLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 4d ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| ticket_id | string | Yes |
Details
From the project READMEContext 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:
pip install -r requirements.txt(or necessary dependencies)- Set required environment variables (e.g., API keys for Jira/Sentry).
- 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:
python server.py- 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
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.