CircleCI

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

3.2K

12 Tools

Packaged by

Requires Secrets

Add to Docker Desktop

Version 4.43 or later needs to be installed to add the server automatically

Overview Tools (12)Config Manual installation

Docker Hub⁠Github repository⁠

Tools

Name Description

create_prompt_template ABOUT THIS TOOL: - This tool is part of a toolchain that generates and provides test cases for a prompt template. - This tool helps an AI assistant to generate a prompt template based on one of the following: 1. feature requirements defined by a user - in which case the tool will generate a new prompt template based on the feature requirements. 2. a pre-existing prompt or prompt template that a user wants to test, evaluate, or modify - in which case the tool will convert it into a more structured and testable prompt template while leaving the original prompt language relatively unchanged. - This tool will return a structured prompt template (e.g. `template`) along with a context schema (e.g. ``contextSchema``) that defines the expected input parameters for the prompt template. - In some cases, a user will want to add test coverage for ALL of the prompts in a given application. In these cases, the AI agent should use this tool to generate a prompt template for each prompt in the application, and should check the entire application for AI prompts that are not already covered by a prompt template in the `./prompts` directory. WHEN SHOULD THIS TOOL BE TRIGGERED? - This tool should be triggered whenever the user provides requirements for a new AI-enabled application or a new AI-enabled feature of an existing application (i.e. one that requires a prompt request to an LLM or any AI model). - This tool should also be triggered if the user provides a pre-existing prompt or prompt template from their codebase that they want to test, evaluate, or modify. - This tool should be triggered even if there are pre-existing files in the `./prompts` directory with the `<relevant-name>.prompt.yml` convention (e.g. `bedtime-story-generator.prompt.yml`, `plant-care-assistant.prompt.yml`, `customer-support-chatbot.prompt.yml`, etc.). Similar files should NEVER be generated directly by the AI agent. Instead, the AI agent should use this tool to first generate a new prompt template. PARAMETERS: - params: object - prompt: string (the feature requirements or pre-existing prompt/prompt template that will be used to generate a prompt template. Can be a multi-line string.) - promptOrigin: "codebase" | "requirements" (indicates whether the prompt comes from an existing codebase or from new requirements) - model: string (the model that the prompt template will be tested against. Explicitly specify the model if it can be inferred from the codebase. Otherwise, defaults to `gpt-4.1-mini`.) - temperature: number (the temperature of the prompt template. Explicitly specify the temperature if it can be inferred from the codebase. Otherwise, defaults to 1.) EXAMPLE USAGE (from new requirements): { "params": { "prompt": "Create an app that takes any topic and an age (in years), then renders a 1-minute bedtime story for a person of that age.", "promptOrigin": "requirements" "model": "gpt-4.1-mini" "temperature": 1.0 } } EXAMPLE USAGE (from pre-existing prompt/prompt template in codebase): { "params": { "prompt": "The user wants a bedtime story about {{topic}} for a person of age {{age}} years old. Please craft a captivating tale that captivates their imagination and provides a delightful bedtime experience.", "promptOrigin": "codebase" "model": "claude-3-5-sonnet-latest" "temperature": 0.7 } } TOOL OUTPUT INSTRUCTIONS: - The tool will return... - a `template` that reformulates the user's prompt into a more structured format. - a ``contextSchema`` that defines the expected input parameters for the template. - a `promptOrigin` that indicates whether the prompt comes from an existing prompt or prompt template in the user's codebase or from new requirements. - The tool output -- the `template`, ``contextSchema``, and `promptOrigin` -- will also be used as input to the `recommend_prompt_template_tests` tool to generate a list of recommended tests that can be used to test the prompt template.

Name	Description
`create_prompt_template`	ABOUT THIS TOOL: - This tool is part of a toolchain that generates and provides test cases for a prompt template. - This tool helps an AI assistant to generate a prompt template based on one of the following: 1. feature requirements defined by a user - in which case the tool will generate a new prompt template based on the feature requirements. 2. a pre-existing prompt or prompt template that a user wants to test, evaluate, or modify - in which case the tool will convert it into a more structured and testable prompt template while leaving the original prompt language relatively unchanged. - This tool will return a structured prompt template (e.g. `template`) along with a context schema (e.g. ``contextSchema``) that defines the expected input parameters for the prompt template. - In some cases, a user will want to add test coverage for ALL of the prompts in a given application. In these cases, the AI agent should use this tool to generate a prompt template for each prompt in the application, and should check the entire application for AI prompts that are not already covered by a prompt template in the `./prompts` directory. WHEN SHOULD THIS TOOL BE TRIGGERED? - This tool should be triggered whenever the user provides requirements for a new AI-enabled application or a new AI-enabled feature of an existing application (i.e. one that requires a prompt request to an LLM or any AI model). - This tool should also be triggered if the user provides a pre-existing prompt or prompt template from their codebase that they want to test, evaluate, or modify. - This tool should be triggered even if there are pre-existing files in the `./prompts` directory with the `<relevant-name>.prompt.yml` convention (e.g. `bedtime-story-generator.prompt.yml`, `plant-care-assistant.prompt.yml`, `customer-support-chatbot.prompt.yml`, etc.). Similar files should NEVER be generated directly by the AI agent. Instead, the AI agent should use this tool to first generate a new prompt template. PARAMETERS: - params: object - prompt: string (the feature requirements or pre-existing prompt/prompt template that will be used to generate a prompt template. Can be a multi-line string.) - promptOrigin: "codebase" \| "requirements" (indicates whether the prompt comes from an existing codebase or from new requirements) - model: string (the model that the prompt template will be tested against. Explicitly specify the model if it can be inferred from the codebase. Otherwise, defaults to `gpt-4.1-mini`.) - temperature: number (the temperature of the prompt template. Explicitly specify the temperature if it can be inferred from the codebase. Otherwise, defaults to 1.) EXAMPLE USAGE (from new requirements): { "params": { "prompt": "Create an app that takes any topic and an age (in years), then renders a 1-minute bedtime story for a person of that age.", "promptOrigin": "requirements" "model": "gpt-4.1-mini" "temperature": 1.0 } } EXAMPLE USAGE (from pre-existing prompt/prompt template in codebase): { "params": { "prompt": "The user wants a bedtime story about {{topic}} for a person of age {{age}} years old. Please craft a captivating tale that captivates their imagination and provides a delightful bedtime experience.", "promptOrigin": "codebase" "model": "claude-3-5-sonnet-latest" "temperature": 0.7 } } TOOL OUTPUT INSTRUCTIONS: - The tool will return... - a `template` that reformulates the user's prompt into a more structured format. - a ``contextSchema`` that defines the expected input parameters for the template. - a `promptOrigin` that indicates whether the prompt comes from an existing prompt or prompt template in the user's codebase or from new requirements. - The tool output -- the `template`, ``contextSchema``, and `promptOrigin` -- will also be used as input to the `recommend_prompt_template_tests` tool to generate a list of recommended tests that can be used to test the prompt template.

Manual installation

You can install the MCP server using:

Installation for

CircleCI

Related servers

AWS Core MCP Server

Context7

Desktop Commander

Docker Hub