copilot-studio-code

copilot-studio-code

Gives a Microsoft Copilot Studio agent Claude-Code-style tools to read, edit, search, and run shell commands against your local filesystem.

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README

copilot-studio-code

A local MCP server that gives a Microsoft Copilot Studio agent Claude-Code-style tools against your local filesystem and shell — read, edit, search, and run commands from the Copilot Studio test canvas. Ships with an importable Copilot Studio solution so you can stand up a working agent in minutes.

Tools exposed

Tool Purpose
read_file Read a UTF-8 text file.
write_file Create or overwrite a file.
edit_file Exact-match string replace (unique-match required, or replace_all=true).
list_dir List entries in a directory.
glob Find files matching a glob pattern.
grep Regex search across files (skips node_modules, .git, dist).
run_shell Execute a shell command (PowerShell on Windows, bash elsewhere). Disabled in strict mode.

Safety modes (selected at startup)

Mode Path jail run_shell
strict enforced disabled
moderate (default) enforced enabled, audit-logged
open off enabled, audit-logged

How the mode is chosen, in order of precedence:

  1. SAFETY env var (strict / moderate / open)
  2. --safety <mode> CLI flag
  3. Interactive prompt at startup (10s timeout → moderate)

All write_file, edit_file, and run_shell calls are appended to <root>/.copilotstudio-mcp/audit.log.

Run it

npm install
npm start

The server prints something like:

copilot-studio-code MCP server
  workspace root : E:\Dev\projects\my-project
  safety mode    : moderate
  listening on   : http://localhost:8787/mcp
  health check   : http://localhost:8787/healthz

Override the workspace it operates on:

$env:WORKSPACE_ROOT = "E:\Dev\some-other-project"; npm start

Wiring it into Copilot Studio

Copilot Studio is cloud-hosted, so it cannot reach localhost. Use Microsoft Dev Tunnels to expose the server over HTTPS.

1. Install and log in to dev tunnels

winget install Microsoft.devtunnel
devtunnel user login

2. Create a persistent tunnel for port 8787

devtunnel create copilotstudio-mcp --allow-anonymous
devtunnel port create copilotstudio-mcp -p 8787 --protocol http
devtunnel host copilotstudio-mcp

devtunnel host prints a public URL like https://<id>-8787.usw2.devtunnels.ms. Leave it running.

Drop --allow-anonymous and the tunnel will require an MS account on the Copilot Studio side. Recommended once you have it working.

3. Wire the MCP server into a Copilot Studio agent

Two ways: import the prebuilt solution (fastest), or configure an agent manually.

Path A — Import the prebuilt solution

The solution/ folder ships an unmanaged Copilot Studio solution containing a pre-configured agent (generative orchestration on, content moderation low), a custom connector for the MCP server, and a WorkspaceMCP topic that surfaces the tools to the planner.

  1. Open https://make.powerapps.com → your environment → SolutionsImport solution.
  2. Upload solution/CopilotStudioCode_1_0_0_0.zip. Take the defaults through the wizard.
  3. Once imported, open the Workspace MCP custom connector → Edit → on the General tab, replace the placeholder host YOUR-TUNNEL-ID-PORT.YOUR-REGION.devtunnels.ms with your real dev tunnel host (e.g. abc123-8787.usw2.devtunnels.ms). Save → Update connector.
  4. Open the imported agent and skip to step 4 (test canvas).

The solution does not include the MCP server itself — that runs locally from this repo. The connector just points at it.

Path B — Configure an agent manually

  1. Open Copilot Studio → your agent → Tools+ Add a toolModel Context Protocol.
  2. Server URL: https://<your-tunnel-id>-8787.usw2.devtunnels.ms/mcp
  3. Authentication: None (for the anonymous tunnel) or Microsoft Entra (for an authenticated one).
  4. Save. Copilot Studio fetches the tool list from /mcp and shows the seven tools. Ensure each is enabled on the agent.
  5. Settings → Generative AI → Orchestration: Generative; content moderation: Low. Without generative orchestration the planner won't dispatch MCP tools.

4. Test it from the test canvas

Open the test canvas and try prompts like:

  • "List the files in the workspace root."
  • "Read package.json and tell me what scripts are defined."
  • "Add a new script called lint that runs tsc --noEmit."
  • "Run git status and summarize the result."

The agent picks tools by name from the descriptions in src/tools.ts — tighten those descriptions if the agent picks the wrong tool.

Project layout

src/                                  the MCP server (TypeScript)
  index.ts                            entry: safety prompt + boot
  server.ts                           express + Streamable HTTP MCP transport
  tools.ts                            the seven tool registrations
  safety.ts                           mode definitions
  paths.ts                            workspace-root path jail
  audit.ts                            JSONL audit log
solution/                             importable Copilot Studio solution
  CopilotStudioCode_1_0_0_0.zip       agent + connector + topics (unmanaged)

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