Demo MCP Server by VS Code Agent
@kajal452
About Demo MCP Server by VS Code Agent
A demo repository created by GitHub Copilot for Kajal Kumar Das.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Demo MCP Server by VS Code Agent?
This is a demo repository created to showcase the capabilities of GitHub Copilot in assisting with MCP server‑related tasks. It was created by GitHub Copilot for Kajal Kumar Das.
How to use Demo MCP Server by VS Code Agent?
—
Key features of Demo MCP Server by VS Code Agent
—
Use cases of Demo MCP Server by VS Code Agent
—
FAQ from Demo MCP Server by VS Code Agent
What is this server?
It is a demonstration project that shows how GitHub Copilot can help build MCP servers.
Who created this server?
The repository was created by GitHub Copilot for Kajal Kumar Das.
Where can I find the author?
Kajal Kumar Das can be found on GitHub as kajal452, on Twitter as @KajalKumar_88, and at his blog kajal452.github.io.
What organization is the author associated with?
Kajal Kumar Das works at @pitangent.
How can I contact the author?
You can email Kajal Kumar Das at [email protected].
More AI & Agents MCP servers
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
Perplexity Ask MCP Server
ppl-aiThe official MCP server implementation for the Perplexity API Platform
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages
utensilsMCP-NixOS - Model Context Protocol Server for NixOS resources
Comments