Official agent skill

MCP Copilot Studio Server Generator

by github in github/awesome-copilot

Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support

OfficialMITAuto-check passedAgent Workflows

Install MCP Copilot Studio Server Generator

skills CLI
$ npx skills add github/awesome-copilot --skill mcp-copilot-studio-server-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot mcp-copilot-studio-server-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mcp-copilot-studio-server-generator .claude/skills/mcp-copilot-studio-server-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mcp-copilot-studio-server-generator
GitHub stars
40k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
384 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support

  • Works in 4 steps: Uses Copilot Studio MCP Pattern → Schema Compliance Requirements → MCP Components to Include → …
  • Tasks that involve MCP servers
  • SKILL.md covers Instructions, Context Variables, Expected Output and Validation Checklist, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

MCP Copilot Studio Server Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol, Microsoft Copilot Studio and Power Automate. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve MCP servers

Example prompts

  • “/mcp-copilot-studio-server-generator”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Uses Copilot Studio MCP Pattern
  2. Schema Compliance Requirements
  3. MCP Components to Include
  4. Implementation Structure

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

MCP Copilot Studio Server Generator loads about 1.1k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 384 words, ~1,063 tokens.

Download SKILL.mdSave it as .claude/skills/mcp-copilot-studio-server-generator/SKILL.md (or your agent's skills folder).
name
mcp-copilot-studio-server-generator
description
Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support

Power Platform MCP Connector Generator

Generate a complete Power Platform custom connector with Model Context Protocol (MCP) integration for Microsoft Copilot Studio. This prompt creates all necessary files following Power Platform connector standards with MCP streamable HTTP support.

Instructions

Create a complete MCP server implementation that:

  1. Uses Copilot Studio MCP Pattern:

    • Implement x-ms-agentic-protocol: mcp-streamable-1.0
    • Support JSON-RPC 2.0 communication protocol
    • Provide streamable HTTP endpoint at /mcp
    • Follow Power Platform connector structure
  2. Schema Compliance Requirements:

    • NO reference types in tool inputs/outputs (filtered by Copilot Studio)
    • Single type values only (not arrays of multiple types)
    • Avoid enum inputs (interpreted as string, not enum)
    • Use primitive types: string, number, integer, boolean, array, object
    • Ensure all endpoints return full URIs
  3. MCP Components to Include:

    • Tools: Functions for the language model to call (✅ Supported in Copilot Studio)
    • Resources: File-like data outputs from tools (✅ Supported in Copilot Studio - must be tool outputs to be accessible)
    • Prompts: Predefined templates for specific tasks (❌ Not yet supported in Copilot Studio)
  4. Implementation Structure:

    /apiDefinition.swagger.json  (Power Platform connector schema)
    /apiProperties.json         (Connector metadata and configuration)
    /script.csx                 (Custom code transformations and logic)
    /server/                    (MCP server implementation)
    /tools/                     (Individual MCP tools)
    /resources/                 (MCP resource handlers)

Context Variables

  • Server Purpose: [Describe what the MCP server should accomplish]
  • Tools Needed: [List of specific tools to implement]
  • Resources: [Types of resources to provide]
  • Authentication: [Auth method: none, api-key, oauth2]
  • Host Environment: [Azure Function, Express.js, FastAPI, etc.]
  • Target APIs: [External APIs to integrate with]
Show full SKILL.md (173 more words)Show less

Expected Output

Generate:

  1. apiDefinition.swagger.json with:

    • Proper x-ms-agentic-protocol: mcp-streamable-1.0
    • MCP endpoint at POST /mcp
    • Compliant schema definitions (no reference types)
    • McpResponse and McpErrorResponse definitions
  2. apiProperties.json with:

    • Connector metadata and branding
    • Authentication configuration
    • Policy templates if needed
  3. script.csx with:

    • Custom C# code for request/response transformations
    • MCP JSON-RPC message handling logic
    • Data validation and processing functions
    • Error handling and logging capabilities
  4. MCP Server Code with:

    • JSON-RPC 2.0 request handler
    • Tool registration and execution
    • Resource management (as tool outputs)
    • Proper error handling
    • Copilot Studio compatibility checks
  5. Individual Tools that:

    • Accept only primitive type inputs
    • Return structured outputs
    • Include resources as outputs when needed
    • Provide clear descriptions for Copilot Studio
  6. Deployment Configuration for:

    • Power Platform environment
    • Copilot Studio agent integration
    • Testing and validation

Validation Checklist

Ensure generated code:

  • No reference types in schemas
  • All type fields are single types
  • Enum handling via string with validation
  • Resources available through tool outputs
  • Full URI endpoints
  • JSON-RPC 2.0 compliance
  • Proper x-ms-agentic-protocol header
  • McpResponse/McpErrorResponse schemas
  • Clear tool descriptions for Copilot Studio
  • Generative Orchestration compatible

Example Usage

yaml
Server Purpose: Customer data management and analysis
Tools Needed: 
  - searchCustomers
  - getCustomerDetails
  - analyzeCustomerTrends
Resources:
  - Customer profiles
  - Analysis reports
Authentication: oauth2
Host Environment: Azure Function
Target APIs: CRM System REST API

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/mcp-copilot-studio-server-generator of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

MCP Copilot Studio Server Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

MCP Copilot Studio Server Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
MCP Copilot Studio Server Generator this skillgithub/awesome-copilot40k1 repos~1.1kAutomated safety check: PassMIT
Dv Connectmicrosoft/Dataverse-skills2411 repos~5kAutomated safety check: NotesMIT
Microsoft Docsmicrosoft/ai-agents-for-beginners77k—~1.5kAutomated safety check: PassMIT
Power Automate MCPLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassMIT
Power Automate BuildLeoYeAI/openclaw-master-skills2.2k—~4.3kAutomated safety check: PassMIT
Power Automate MCPhashgraph-online/awesome-codex-plugins1.2k—~3.4kAutomated safety check: PassApache-2.0

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Categories

Questions about MCP Copilot Studio Server Generator

What does MCP Copilot Studio Server Generator do?

Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support. MCP Copilot Studio Server Generator is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.

When should I use MCP Copilot Studio Server Generator?

MCP Copilot Studio Server Generator fits situations like: tasks that involve MCP servers.

How do I install MCP Copilot Studio Server Generator in Claude Code?

Run `npx skills add github/awesome-copilot --skill mcp-copilot-studio-server-generator -a claude-code`. Or copy the skill folder (skills/mcp-copilot-studio-server-generator in github/awesome-copilot) into .claude/skills/mcp-copilot-studio-server-generator in your project. Claude Code loads it when a task matches its description.

How do I install MCP Copilot Studio Server Generator in Codex?

Run `npx skills add github/awesome-copilot --skill mcp-copilot-studio-server-generator -a codex`. Or copy the skill folder (skills/mcp-copilot-studio-server-generator in github/awesome-copilot) into .agents/skills/mcp-copilot-studio-server-generator in your project. Codex loads it when a task matches its description.

Can I use MCP Copilot Studio Server Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill mcp-copilot-studio-server-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mcp-copilot-studio-server-generator, .gemini/skills/mcp-copilot-studio-server-generator, .github/skills/mcp-copilot-studio-server-generator and .opencode/skills/mcp-copilot-studio-server-generator in your project.

What does MCP Copilot Studio Server Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: MCP Copilot Studio Server Generator is instructions for the agent only.

Does MCP Copilot Studio Server Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is MCP Copilot Studio Server Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does MCP Copilot Studio Server Generator use?

MCP Copilot Studio Server Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does MCP Copilot Studio Server Generator use?

About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to MCP Copilot Studio Server Generator?

Skills that share tags, products or a category with MCP Copilot Studio Server Generator: Dv Connect (microsoft/Dataverse-skills, 241 stars), Microsoft Docs (microsoft/ai-agents-for-beginners, 77k stars), Power Automate MCP (LeoYeAI/openclaw-master-skills, 2.2k stars) and Power Automate Build (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains MCP Copilot Studio Server Generator?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.