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Manage asynchronous coding tasks through Google's Jules API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jules MCP Server" yet — see the docs or source repo.
Use Jules MCP Server to create an asynchronous coding task that generates a code plan for user login.
A code-generation task ready to be executed via Jules API.
Use Jules MCP Server to start an asynchronous task that analyzes and fixes this Python API error.
An asynchronous task for debugging and fixing the issue.
Use Jules MCP Server to create an asynchronous task that adds unit tests for this code.
A task that creates test cases for the code.
Use it when developers want to delegate code generation, bug fixing, or test creation asynchronously. It fits workflows where coding tasks should not interrupt the main work.
If you are building an automated development workflow, this tool provides API-driven coding assistance through Jules. It is designed for AI assistants to manage tasks.
When a project needs more tests or fixes for known defects, you can use it to launch dedicated tasks. It covers test creation and bug fixing workflows.
It lets AI assistants create and manage asynchronous coding tasks through Google's Jules API, including code generation, bug fixing, and test creation.
According to the description, it supports code generation, bug fixing, and test creation.
It is known to depend on Google's Jules API; other setup, permissions, or runtime requirements are in the source repository.
Automate source, session, and coding workflows with Google Jules API.
Orchestrate Google Jules for remote coding, review, monitoring, and PR merging.
Manage Google Jules Agent sessions, sources, and activities through MCP.
Provide local-first persistent memory, personas, and fast search for AI assistants.
Connect local Jupyter kernels for code execution, kernel management, and notebook runs.
Enable AI assistants to search, create, and manage JIRA issues with JQL.