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Add kong and circleci
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‎prompts/catalog.yaml‎

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- name: pulumi-registry-list-resources
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prompts: 0
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resources: {}
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kong:
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description: A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics.
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ref: github:docker/labs-ai-tools-for-devs?ref=main&path=prompts/mcp/kong.md
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readme: github:docker/labs-ai-tools-for-devs?ref=main&path=prompts/mcp/readmes/kong.md
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source: https://github.com/Kong/mcp-konnect/tree/refs/pull/7/merge
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icon: https://avatars.githubusercontent.com/u/962416?s=200&v=4
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tools:
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- name: check_control_plane_group_membership
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- name: get_consumer_requests
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- name: get_control_plane
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- name: list_consumers
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- name: list_control_plane_group_memberships
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- name: list_control_planes
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- name: list_plugins
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- name: list_routes
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- name: list_services
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- name: query_api_requests
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secrets:
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- name: kong.access_token
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prompts: 0
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resources: {}
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config:
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- name: kong
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description: Configure the connection to Kong Konnect
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type: object
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properties:
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region:
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type: string
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circleci:
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description: 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.
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ref: github:docker/labs-ai-tools-for-devs?ref=main&path=prompts/mcp/circleci.md
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readme: github:docker/labs-ai-tools-for-devs?ref=main&path=prompts/mcp/readmes/circleci.md
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source: https://github.com/CircleCI-Public/mcp-server-circleci/tree/refs/pull/22/merge
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icon: https://avatars.githubusercontent.com/u/26607840?s=200&v=4
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tools:
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- name: find_flaky_tests
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- name: get_build_failure_logs
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secrets:
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- name: circleci.token
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prompts: 0
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resources: {}
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config:
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- name: circleci
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description: Configure the connection to CircleCI
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type: object
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properties:
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url:
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type: string

‎prompts/mcp/circleci.md‎

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---
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mcp:
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- container:
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image: mcp/circleci:latest
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workdir: /app
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secrets:
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circleci.token: CIRCLECI_TOKEN
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environment:
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CIRCLECI_BASE_URL: "{{circleci.url|safe}}"
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source:
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url: https://github.com/CircleCI-Public/mcp-server-circleci/tree/refs/pull/22/merge
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---

‎prompts/mcp/kong.md‎

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---
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mcp:
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- container:
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image: mcp/kong:latest
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workdir: /app
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secrets:
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kong.access_token: KONNECT_ACCESS_TOKEN
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environment:
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KONNECT_REGION: "{{kong.region}}"
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source:
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url: https://github.com/Kong/mcp-konnect/tree/refs/pull/7/merge
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---

‎prompts/mcp/readmes/circleci.md‎

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# Circleci MCP Server
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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.
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[What is an MCP Server?](https://www.anthropic.com/news/model-context-protocol)
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## Characteristics
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Attribute|Details|
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|-|-|
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**Image Source**|Official Image
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|**Author**|[CircleCI-Public](https://github.com/CircleCI-Public)
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**Repository**|https://github.com/CircleCI-Public/mcp-server-circleci
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**Dockerfile**|https://github.com/CircleCI-Public/mcp-server-circleci/blob/refs/pull/22/merge/Dockerfile
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**Docker Image built by**|Docker Inc.
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**Licence**|Apache License 2.0
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## Available Tools
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Tools provided by this Server|Short Description
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-|-
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`find_flaky_tests`|This tool retrieves information about flaky tests in a CircleCI project.|
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`get_build_failure_logs`|This tool helps debug CircleCI build failures by retrieving failure logs.|
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---
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## Tools Details
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#### Tool: `find_flaky_tests`
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|Description|
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|-|
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|This tool retrieves information about flaky tests in a CircleCI project.
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The agent receiving this output MUST analyze the flaky test data and implement appropriate fixes based on the specific issues identified.
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Input options (EXACTLY ONE of these two options must be used):
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Option 1 - Direct URL (provide ONE of these):
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- projectURL: The URL of the CircleCI project in any of these formats:
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* Project URL: https://app.circleci.com/pipelines/gh/organization/project
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* Pipeline URL: https://app.circleci.com/pipelines/gh/organization/project/123
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* Workflow URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def
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* Job URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def/jobs/xyz
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Option 2 - Project Detection (ALL of these must be provided together):
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- workspaceRoot: The absolute path to the workspace root
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- gitRemoteURL: The URL of the git remote repository
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IMPORTANT:
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- Never call this tool with incomplete parameters
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- If using Option 1, the URLs MUST be provided by the user - do not attempt to construct or guess URLs
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- If using Option 2, BOTH parameters (workspaceRoot, gitRemoteURL) must be provided
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- If neither option can be fully satisfied, ask the user for the missing information before making the tool call|
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Parameters|Type|Description
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-|-|-
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`params`|`object`|
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---
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#### Tool: `get_build_failure_logs`
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|Description|
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|-|
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|This tool helps debug CircleCI build failures by retrieving failure logs.
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Input options (EXACTLY ONE of these two options must be used):
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Option 1 - Direct URL (provide ONE of these):
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- projectURL: The URL of the CircleCI project in any of these formats:
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* Project URL: https://app.circleci.com/pipelines/gh/organization/project
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* Pipeline URL: https://app.circleci.com/pipelines/gh/organization/project/123
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* Workflow URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def
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* Job URL: https://app.circleci.com/pipelines/gh/organization/project/123/workflows/abc-def/jobs/xyz
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Option 2 - Project Detection (ALL of these must be provided together):
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- workspaceRoot: The absolute path to the workspace root
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- gitRemoteURL: The URL of the git remote repository
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- branch: The name of the current branch
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IMPORTANT:
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- Never call this tool with incomplete parameters
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- If using Option 1, the URLs MUST be provided by the user - do not attempt to construct or guess URLs
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- If using Option 2, ALL THREE parameters (workspaceRoot, gitRemoteURL, branch) must be provided
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- If neither option can be fully satisfied, ask the user for the missing information before making the tool call|
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Parameters|Type|Description
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-|-|-
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`params`|`object`|
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---
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## Use this MCP Server
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```json
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{
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"mcpServers": {
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"circleci": {
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"command": "docker",
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"args": [
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"run",
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"-i",
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"--rm",
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"-e",
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"CIRCLECI_BASE_URL",
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"-e",
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"CIRCLECI_TOKEN",
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"mcp/circleci"
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],
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"env": {
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"CIRCLECI_BASE_URL": "https://circleci.com",
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"CIRCLECI_TOKEN": "your-circleci-token"
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}
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}
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}
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}
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```
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[Why is it safer to run MCP Servers with Docker?](https://www.docker.com/blog/the-model-context-protocol-simplifying-building-ai-apps-with-anthropic-claude-desktop-and-docker/)

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