Spacebridge MCP
S

Spacebridge MCP

SpaceBridge-MCP is an MCP server integrated with the SpaceBridge REST API, used for automatically managing issues in cross - platform issue trackers. It allows developers to search, create, and view issues directly in the development environment through an AI assistant, reducing context switching and providing intelligent issue duplicate checking.
2.5 points
8.2K

What is SpaceBridge-MCP?

SpaceBridge-MCP is an intelligent connector that enables your AI programming assistants (such as Claude/Windsurf/Cursor) to directly interact with the SpaceBridge issue tracking platform. You can search, create, or update issues directly in the coding environment without switching windows.

How to use SpaceBridge-MCP?

After installing the service, configure the API key. Then, manage issues through natural language instructions in the AI assistant interface, such as 'Find issues about the login feature' or 'Create a new issue to describe this bug'.

Applicable scenarios

Suitable for scenarios where developers need to frequently consult issues, automatically generate issue - related commit messages, or maintain coding focus to avoid context switching during the development process.

Main features

Intelligent issue search
Supports two ways to search for issues: keyword search and semantic similarity search.
Automatic duplicate checking
Automatically checks for similar issues when creating a new issue to avoid duplicate creation.
Multi - platform support
Unified management of multiple issue tracking systems such as Jira/GitHub Issues through SpaceBridge.
Intelligent context integration
The AI assistant can obtain the complete context of an issue (description/comments/status) to assist in development decision - making.
Advantages
Reduce development environment switching and maintain a state of flow.
Automatically associate issues (e.g., automatically reference issue IDs in commit messages).
Manage multiple issue tracking systems through a single interface.
The AI assistant can obtain a more comprehensive development context.
Limitations
Requires configuring multiple API keys (SpaceBridge and OpenAI).
The organization/project context needs to be correctly set when using it for the first time.
Semantic search depends on OpenAI's text understanding ability.

How to use

Install the service
Install via pip or build from source code.
Configure the connection
Set the API keys for SpaceBridge and OpenAI, which can be done through environment variables or configuration files.
Start the service
Run the service and connect it to your AI development environment.
Configure in the AI tool
Add the MCP server connection in tools such as Claude/Windsurf/Cursor.

Usage examples

Automatically generate commit messages
The AI assistant automatically associates relevant issues after detecting code changes and generates commit messages containing issue IDs.
Quickly consult issues
Directly ask the AI assistant for issue details during the development process.

Frequently Asked Questions

How to confirm that the service is correctly connected?
Why is an OpenAI key required when creating an issue?
What if the organization/project information is not correctly recognized?

Related resources

SpaceBridge official documentation
API reference documentation for the SpaceBridge platform
MCP protocol description
Technical specification of the Model Context Protocol
GitHub repository
Project source code and issue tracking

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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