toolsmelt
Advanced tools
Turn an API spec, a website, an app, a Postman collection or a database into curated, tested MCP tools, designed by an LLM.
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
| Source | Command |
|---|---|
| OpenAPI / Swagger file or URL | toolsmelt inspect <file-or-url> |
| 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 API | toolsmelt 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 dashboard | toolsmelt browser, then your agent records it (toolsmelt capture <url> records a HAR without the hub) |
| Android app (APK you own) | toolsmelt app-android app.apk --base-url https://api.example.com |
| Electron / JavaScript app | toolsmelt app-js <dir|app.asar|file> --base-url https://api.example.com |
| Desktop program | toolsmelt 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.
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.
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.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.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.
No API key needed: your coding agent is the designer.
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.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.{"mcpServers": {"toolsmelt": {"command": "uvx", "args": ["toolsmelt", "mcp"]}}}
/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.
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).
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
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.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.
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.
Only for software you own or are authorized to analyze.
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.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.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 <prefix>_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.toolsmelt app-js <dir|app.asar|file> --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.
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 <project> 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.
Plans convert formats with transform on arguments, output.transforms (date->unix, date->unix_end, unix->date, unix->datetime, minutes->hh:mm, toman->rial, rial->toman, int->str, plus optional Jalali calendar conversions) and timezone (IANA name; empty means the system's local zone).
Credentials come from you, never the chat: toolsmelt secret set <connection> <ENV_NAME> asks with a hidden prompt and stores the value in the OS keychain (--once forgets it after one use, for one-time codes; list and delete also exist).
To turn a plan into a standalone server project instead of a hub connection:
uvx toolsmelt inspect https://petstore3.swagger.io/api/v3/openapi.json # .toolsmelt/source.json + digest.md
uvx toolsmelt draft --name petstore-mcp # heuristic .toolsmelt/plan.yaml, no LLM
# redesign plan.yaml (your coding agent does this, or use `design`, see below)
uvx toolsmelt validate
uvx toolsmelt generate -o petstore-mcp
cd petstore-mcp && uv run pytest
uvx toolsmelt check . # call every tool live
uvx toolsmelt install . # register it with your agents
A spec read from a local file may only have a relative server URL; validate then asks you to set an absolute base_url in the plan.
uvx toolsmelt design --goal "find products, compare prices, read reviews" --provider anthropic
Providers: anthropic (ANTHROPIC_API_KEY), openai (OPENAI_API_KEY), openrouter (OPENROUTER_API_KEY), ollama (no key). --model picks the model; TOOLSMELT_MODEL and TOOLSMELT_BASE_URL override the model and endpoint. The result is the same plan.yaml; review it before generate.
openapi.yaml | site.har --inspect--> source.json + digest.md
--draft----> plan.yaml (heuristic starting point)
your agent edits plan.yaml, or `design` ------> plan.yaml
--validate-> issues
--generate-> <name>/ (server project)
--check----> live report per tool
Source is what the API offers; Plan is the server to build; code generation reads the plan plus captured responses for test fixtures. A plan, trimmed:
name: shop-mcp
description: Search products and compare prices on Example Shop.
prefix: shop
base_url: https://example.com/api
env_prefix: SHOP_MCP
instructions: Search first, then fetch details with the id. Prices are in toman.
tools:
- name: shop_search
title: Search products
description: Returns matching products with price and stock. Use shop_product for full details.
endpoint: GET /v2/search
args:
- {name: query, type: string, required: true, description: "Search words, e.g. 'laptop'", to: query.q}
- {name: max_price, type: integer, description: "Upper price limit in toman, e.g. 20000000", to: query.price_max}
- {name: sort, description: "Result order.", map: {cheapest: price_asc, newest: date_desc}, default: cheapest, to: query.o}
output:
root: data.products
fields: {id: id, title: title_fa, price: price.selling_price, in_stock: stock.available}
max_items: 10
example: {query: laptop}
Argument targets (to:): path.<n>, query.<n>, header.<n>, cookie.<n>, body, body.<a.b.c>. Output paths use dots, a number indexes a list (images.0.url), [] maps over a list (tags[].name). map turns friendly values the model sees into the cryptic ones the API wants.
A tool can also follow pages, or chain calls (one or the other per tool):
# in one tool: read up to 3 pages and join the lists at output.root
paginate: {style: page, param: query.page, max_pages: 3} # or offset, cursor, next_url
# in another: search, then fetch the details of the first 5 hits
steps:
- {endpoint: getProduct, for_each: data.products, max_items: 5, args: {path.id: $item.id}}
body_encoding (json, form or multipart) says how body.* values are sent. A plan carries schema_version: 1, unknown keys are errors (a typo like readonly: fails instead of being ignored), and toolsmelt schema prints the plan's JSON Schema for editor completion and validation.
<name>/
pyproject.toml server.json README.md LICENSE .gitignore toolsmelt.yaml
src/<package>/server.py # tools, built on toolsmelt.runtime
tests/ # replay captured responses; one -m live test per tool
.github/workflows/ # ci.yml, publish.yml (PyPI + MCP Registry)
.claude-plugin/plugin.json # Claude Code plugin
skills/<name>/SKILL.md # skill for the generated server
toolsmelt.yaml is the plan, so you can regenerate. Each tool in server.py keeps its typed signature and calls toolsmelt.runtime.interpret.run_tool, the same code the hub runs.
Run a generated server (or the hub, toolsmelt mcp) over Streamable HTTP instead of stdio with --transport http --port 8000 (or MCP_TRANSPORT=http); it listens on 127.0.0.1 at /mcp. Set MCP_AUTH_TOKEN to require Authorization: Bearer <token> on every request, or make it an OAuth 2.1 resource server for your identity provider with MCP_OAUTH_ISSUER (and optionally MCP_OAUTH_AUDIENCE, MCP_OAUTH_SCOPES, MCP_PUBLIC_URL): it validates the provider's JWTs (RS256/ES256, iss, aud, exp, scopes) and publishes /.well-known/oauth-protected-resource/mcp. Set one of them before you bind to a non-loopback --host. To publish: add a PyPI trusted publisher (workflow publish.yml, environment pypi), bump the version in pyproject.toml and server.json, tag v*.
toolsmelt inspect postgresql://reader@db.example.com/shop reads tables, columns, keys and up to 3 sample rows (personal values masked). draft writes list and get-by-key tools as plain SQL (sql: with :name placeholders, args to: sql.<name>). A read-only tool must be one SELECT (or WITH ... SELECT); this is checked by validate and again at run time, and SQLite and PostgreSQL also open the connection read-only. The password never goes into the plan: it comes from <P>_DB_PASSWORD (or toolsmelt secret set in the hub). Install the driver for your database next to toolsmelt[sql] (for example psycopg).
toolsmelt eval --write --provider anthropic writes evals.yaml (one or two user questions per tool, plus a few that no tool should answer). Review the file and commit it. toolsmelt eval --provider anthropic then asks the model which tool and arguments answer each question, and reports tool and argument accuracy and which tools get confused. --json and --min 0.9 make it a CI gate. The tool list is the cached prompt prefix, so repeat runs are cheap.
toolsmelt check <project> [--json] calls every tool with its example arguments and reports errors, output size in characters and output fields that came back empty. Run it nightly in CI to see when an API or site changes. It makes real calls, so tools marked read_only: false are skipped unless you pass --writes.
Generated servers import toolsmelt.runtime, so a fix there reaches every server on upgrade.
Retry-After honoured and capped; jitter; concurrency cap.<P>_PROXY takes one URL or a comma list (pool). <P>_BASE_URL overrides the base URL. System proxy env vars are ignored on purpose.pip install "toolsmelt[stealth]" and impersonate: true in the plan. Without the extra it falls back to plain httpx with one warning.shape() keeps only the planned fields, caps lists (reports the total count), clips long strings, drops nulls.<P>_PROXY, a 401 names the auth env var, 404/429/5xx say what to do next.Most generators mirror every endpoint as a tool and hand the model raw JSON. toolsmelt designs a few workflow-level tools with plain argument names, descriptions that say when to call what next, and compact output.
| Input | Output | Tool design | Response shaping | Drift check | Open source | |
|---|---|---|---|---|---|---|
| toolsmelt | OpenAPI, HAR, app code | live hub tools or Python MCP project | LLM-designed plan | per-tool root/fields/max_items | toolsmelt check | yes |
FastMCP from_openapi | OpenAPI | runtime proxy | one tool per endpoint; manual route maps / transforms | raw JSON | no | yes |
| openapi-mcp-generator | OpenAPI | TypeScript server | one tool per endpoint; x-mcp to pick | raw JSON | no | yes |
| Speakeasy / Gram | OpenAPI | TypeScript or hosted | manual toolsets | experimental | no | yes (AGPL, since Sep 2026) |
| Cloudflare Forge / Code Mode | OpenAPI | SDK, CLI, MCP server | code mode (search + execute) | n/a | no | yes |
| AnythingMCP | OpenAPI, Postman, SOAP, GraphQL, SQL, HAR | self-hosted gateway | one tool per operation, visual editor | manual | no | yes (AGPL) |
| mitmproxy2swagger, har-to-openapi | HAR / traffic | OpenAPI spec | none | none | no | yes |
| Integuru, reverse-api-engineer | HAR / browsing | API client code, not MCP | none | none | no | yes |
| Supergood, Wire | site walkthrough | hosted API / MCP | managed | managed | vendor claims | no |
Compiled from each project's public docs in October 2026; check them before relying on a cell. Stainless, which generated MCP servers in code mode, joined Anthropic in May 2026 and closed new signups. FastMCP's own docs say curated servers clearly beat auto-converted ones.
Add an input format, a value transform or a sign-in provider as your own installed package, without forking: toolsmelt finds them through the entry-point groups toolsmelt.importers, toolsmelt.transforms and toolsmelt.signin. Plugin importers use toolsmelt.scrub, the same privacy rules as the built-ins. See docs/extending.md.
check.paginate) or a chain of requests (steps, with for_each fan-out). Logic beyond that (branching, computed values) needs hand edits to the generated server.py, and regenerating overwrites them.--transport http; HTTP auth is a shared bearer token (MCP_AUTH_TOKEN) or OAuth tokens from your own identity provider (MCP_OAUTH_ISSUER); toolsmelt is not an authorization server.probe; a method that cannot be read stays empty.application/x-www-form-urlencoded) or multipart text fields (body_encoding on a tool); file uploads are not supported.toolsmelt check runs the generated code. Review a plan written by an LLM from third-party content before you generate and publish it.uv sync
uv run pytest -q
uv run ruff check .
See CONTRIBUTING.md and docs/design.md.
MIT
FAQs
Turn an API spec, a website, an app, a Postman collection or a database into curated, tested MCP tools, designed by an LLM.
We found that toolsmelt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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