Mcp Tekton

2 Apache-2.0

FreeCommunity

AI Systems

A Tekton Model Context Protocol server

Installations

{}

Arguments

{}

Examples

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Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

Installations

{}

Arguments

{}

Examples

{}

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

ARCHIVED: mcp-tekton: a Tekton Model Context Protocol Server

[!IMPORTANT]
This repository is archived and work on a Tekton MCP server is happening upstream, in tektoncd/mcp-server

This is a proof of concept of a Model Context Protocol for Tetkon.

Notes

inspector: npx @modelcontextprotocol/inspector ./mcp-tekton
https://github.com/Flux159/mcp-server-kubernetes/blob/main/src/resources/handlers.ts
https://github.com/ckreiling/mcp-server-docker/blob/main/src/mcp_server_docker/server.py
https://github.com/ckreiling/mcp-server-docker/blob/main/src/mcp_server_docker/server.py

To-dos

Go from listing some PipelineRun (or other objects) and then inspect it.
- a tool to list / filter
- a resource to inspect one

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

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Tools

No tools

Comments

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