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mcpsmith

by sepehr071version 0.6.0i★ –iRuns on your computer
Registry nameio.github.sepehr071/mcpsmith

Install

Overview

Description from the maker (original English)

Curated MCP tools from OpenAPI, websites, apps, Postman, cURL or SQL; your agent designs them.

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: Databases & datasets

Install

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

Before you install

  • Basic checks: 1 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

  • PyPIPython’s uv installed (for the uvx 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": {
    "mcpsmith": {
      "command": "uvx",
      "args": [
        "mcpsmith",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mcpsmith -- uvx mcpsmith mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "mcpsmith": {
      "command": "uvx",
      "args": [
        "mcpsmith",
        "mcp"
      ]
    }
  }
}

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": {
    "mcpsmith": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcpsmith",
        "mcp"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sepehr071, which owns the repo

  • … 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 Databases & datasetsi

  • More stars than 0% of the other 954 servers in this category
  • Published to the registry more recently than 75% of the other 954 servers in this category
  • Basic checks equal to or better than 100% of the other 954 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 mcpsmith safe?

It passed 1 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 (0.6.0) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
Install

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.

toolsmelt

Formerly mcpsmith. uvx mcpsmith and servers generated by mcpsmith keep working; your saved connections in ~/.mcpsmith, MCPSMITH_* variables and keychain entries are still read. Run uvx toolsmelt setup once to swap the agent entries over.

Turn an OpenAPI file, a Postman collection, a website you log in to, an app you own or a SQL database into a few curated tools for your AI agent. New formats plug in as packages (docs/extending.md). An LLM designs the tools; you get ordinary Python code you own if you want to publish them.

uvx toolsmelt setup

What you can turn into tools

SourceCommand
OpenAPI / Swagger file or URLtoolsmelt inspect
Postman collection (v2.0/v2.1 export)toolsmelt inspect shop.postman_collection.json
cURL commands (DevTools "Copy as cURL")toolsmelt inspect requests.txt
SQL database (SQLite, PostgreSQL, MySQL, anything SQLAlchemy reads)pip install "toolsmelt[sql]", then toolsmelt inspect sqlite:///shop.db
SOAP service (WSDL 1.1) or XML APItoolsmelt inspect https://example.com/service.asmx?WSDL
gRPC service (server reflection)pip install "toolsmelt[grpc]", then toolsmelt inspect grpc://localhost:50051
Website or logged-in dashboardtoolsmelt browser, then your agent records it (toolsmelt capture records a HAR without the hub)
Android app (APK you own)toolsmelt app-android app.apk --base-url https://api.example.com
Electron / JavaScript apptoolsmelt app-js --base-url https://api.example.com
Desktop programtoolsmelt app-desktop (prints the mitmproxy steps), then toolsmelt app-desktop capture.har --host api.example.com

Apps and programs: only software you own or are authorized to analyze.

toolsmelt --help : the command list.

Quickstart: a logged-in website

uvx toolsmelt setup                  # once: registers toolsmelt + Chrome DevTools MCP with your agents

uvx toolsmelt browser # opens the shared Chrome; log in to the site yourself

restart your agent, then ask it:

"Record example.com in the shared Chrome and connect it as tools."

the extract-api skill runs the rest: record, inspect, design, validate, connect

Your passwords and 2FA codes never reach the agent. Details are under Live hub.

Proven on real software

  • Tusky 29.0 (open-source Android client, Retrofit): toolsmelt app-android found 113 endpoints with every HTTP method resolved (48 GET, 43 POST, 11 DELETE, 8 PUT, 3 PATCH) and no unresolved notes. Minified annotation names were resolved from the app's own request-builder class, not guessed.
  • GitHub Desktop 3.6.7 (Electron): toolsmelt app-js found 33 endpoints with every method resolved. All 33 were traced to their original TypeScript line through the app's source maps.
  • hn.algolia.com (public API, no login): recorded in the shared Chrome. 2 curated tools were connected through the hub and returned live results. The tools were still present after restarting the hub.
  • An internal attendance dashboard (ASP.NET, cookie login): recorded while logged in. 2 tools answered the owner's questions. After logout the tools return a clear session-expired error.

Numbers are from runs on 2026-10-21 with toolsmelt 0.4.0. Reproduce the first two with toolsmelt app-android and toolsmelt app-js on those apps.

toolsmelt app-js reading an Electron app's own code.

For coding agents

No API key needed: your coding agent is the designer.

  • Skills (plain Markdown, any agent can read them): skills/build-mcp-server (the whole workflow), skills/extract-api (logged-in sites into live tools), skills/design-mcp-tools (design checklist). AGENTS.md points Codex, Cursor and Gemini CLI at them.
  • MCP tools (paths absolute): smith_guide, smith_inspect, smith_app_android, smith_app_js, smith_app_desktop, smith_probe, smith_draft, smith_validate, smith_generate, smith_check, smith_install, and for the hub smith_record_start, smith_record_stop, smith_connect, smith_disconnect, smith_connections, smith_login, smith_tools, smith_call.
  • MCP config, any client:
  {"mcpServers": {"toolsmelt": {"command": "uvx", "args": ["toolsmelt", "mcp"]}}}
  • Claude Code plugin (skills + MCP server): /plugin marketplace add sepehr071/toolsmelt, then /plugin install toolsmelt@toolsmelt.

MCP clients start servers without your shell's proxy variables. Behind a proxy, add "env": {"HTTPS_PROXY": "http://127.0.0.1:8080"} so smith_inspect can fetch specs.

Live hub

Skip the project: connect a plan and its tools appear in your agent right away. The toolsmelt MCP server is the hub. Connections are saved under ~/.toolsmelt (TOOLSMELT_HOME) and load again on restart. They are personal (one machine, one user); generate stays the way to publish.

From the agent: smith_inspect, edit plan.yaml, smith_validate, then smith_connect(workdir, name) and call the new tools. If your client does not show tools added after start, use smith_tools(connection) and smith_call(connection, tool, args) (read-only tools only). smith_connections lists, smith_disconnect(name) removes (CLI: toolsmelt connections).

Logged-in sites

For a dashboard or portal with no public API, the agent records the site's own calls while you use it. The extract-api skill runs the whole flow.

toolsmelt browser                                                      # shared Chrome on port 9222 (--port N, --no-proxy)

npx chrome-devtools-mcp@1.11.0 --browser-url=http://127.0.0.1:9222 # point Chrome DevTools MCP at it

  1. Log in yourself in that Chrome window (passwords and 2FA never reach the agent).
  2. The agent calls smith_record_start(name, hosts), browses each feature twice with different inputs, then smith_record_stop(name), which writes a HAR with cookies and tokens dropped.
  3. It inspects, designs and connects the plan with auth: {type: browser, login_path: /login}. Calls reuse your Chrome session; when it expires the tool says to log in again.

Agents must not use DevTools get_network_request: it prints request headers, including cookies. generate refuses browser-auth plans because they only work with your Chrome; switch to token or API-key auth to publish.

Websites without the hub
pip install "toolsmelt[capture]" && playwright install chromium

toolsmelt capture https://example.com -o site.har --host example.com # browse, then close the tab toolsmelt inspect site.har --host example.com toolsmelt draft --name example-mcp

redesign plan.yaml, then validate, generate, check as under Export & publish

While recording, do each thing you want as a tool: search, open a detail page, paginate, apply a filter. Anything you do not click is not in the capture. --host (repeatable) keeps only the hosts you list. A DevTools "Save all as HAR" export works in place of capture. The recording browser uses HTTPS_PROXY when it is set.

A HAR holds everything the browser sent and received, including cookies and your personal data: keep it out of git and delete it after inspect. inspect scrubs what it keeps: an API key or token becomes an auth env var with its value dropped, other secret-looking headers and query params are dropped, and emails, phone numbers, JWTs and values under secret or personal field names are masked in examples and test fixtures. This is pattern-based, so read tests/fixtures/ before you publish a generated server. If a key is a public one the site sends to every visitor (a search or maps key), you may put it in the tool's fixed values.

Apps and programs

Only for software you own or are authorized to analyze.

  • Desktop program: toolsmelt app-desktop prints the steps to record its traffic with your own mitmproxy (mitmdump --set hardump=capture.har); toolsmelt app-desktop capture.har --host api.example.com imports the result. toolsmelt runs nothing for you, and certificate-pinned programs are out of scope.
  • Android app: toolsmelt app-android app.apk --base-url https://api.example.com reads the app's Retrofit interface. It needs a decompiler: the free jadx CLI on PATH (scoop install extras/jadx, brew install jadx), or REA's JADX jar (REA_JADX_MCP_JAR). Without --class it lists candidate classes. Before decompiling it triages the APK in about a second (zip listing and dex bytes): a Flutter or React Native app, or one without Retrofit, gets its next step right away (record its traffic, or app-js on a React Native JS bundle), and a known request-signing SDK names the sign-in provider to use.
  • App that signs its own requests: plans use auth: {type: signin, provider: xiaomi} (Mi Home cloud is the first provider). The user signs in on the provider's own page through a link from the server's _login tool (smith_login in the hub); the session goes to the OS keychain. Calling the login tool again names the account and where its data is, which catches a wrong account or region.
  • Electron/JavaScript app: toolsmelt app-js --base-url ... reads the calls in its shipped code.

Neither app-android nor app-js runs the app. The endpoints are unverified (no example response) until toolsmelt probe calls the GET ones live with your credentials (--writes for the rest, only after you agree). A method that cannot be read stays empty and validate refuses it.

Setup

uvx toolsmelt setup registers the toolsmelt and toolsmelt-chrome (Chrome DevTools) MCP servers, and copies the skills into each coding agent it finds (Claude Code, Codex, Cursor, Gemini CLI). Options:

  • --dry-run prints the plan and writes nothing.
  • --agents claude,codex limits it to those agents (default: the ones found).
  • --rea also installs REA (rea-agents). It is off by default: its MCP server adds about 200 tools to each agent, and toolsmelt's app path needs only plain tools such as jadx.
  • --no-skills skips the skills; --yes skips the confirmation.
  • --remove undoes what setup did. Entries and skill folders you made yourself are left alone. REA stays installed (you may have had it before); the command prints the line that removes it.

Before setup first changes a config file, it copies the file to *.toolsmelt.bak. The backup is made once and not refreshed by later runs. Restart your agents afterwards. Run toolsmelt browser before using Chrome DevTools: it starts the shared Chrome the server connects to.

Claude Code plugin users already get both servers from the plugin and do not need setup.

toolsmelt install registers a server made by generate with the same agents, the same way: it runs the project folder (uv run --directory), or the released package with --pypi. It touches only the entry named after the plan and refuses one of that name that runs something else unless --force. --remove takes it out again.

toolsmelt setup --dry-run prints what it would change and writes nothing.

Transforms

Plans convert formats with transform on argum

Only the beginning is shown; read the rest in the repo

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