Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Turn a legacy SOAP/WSDL, database, or REST API into a safe, typed, audit-logged MCP server
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": {
"legacy2mcp": {
"command": "uvx",
"args": [
"legacy2mcp",
"run",
"--config"
]
}
}
}Run this in your terminal
claude mcp add legacy2mcp -- uvx legacy2mcp run --configThis one needs values on its command line, so copy the settings and fill them in.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"legacy2mcp": {
"command": "uvx",
"args": [
"legacy2mcp",
"run",
"--config"
]
}
}
}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 needs values on its command line, so copy the settings and fill them in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"legacy2mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"legacy2mcp",
"run",
"--config"
]
}
}
}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 7, 2026
The registry name was verified with the GitHub account bvenkata, which owns the repo
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 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.
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 (0.5.1) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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No API key, no cloning — pick whichever matches what you actually have, against live public demo targets:
pip install legacy2mcp
legacy2mcp init --rest-url "https://petstore3.swagger.io/api/v3"
legacy2mcp init --wsdl-url "http://www.dneonline.com/calculator.asmx?WSDL"
legacy2mcp init --webpage-url "https://legacy2mcp.com/"
Run any one of those from a real terminal and that's the whole thing: it writes config.yaml, opens a local test-chat page with a clickable example question under every discovered tool — click one and see a real response come back from the live source, no AI key needed, just local keyword matching to sanity-check the server works — and prints a ready-to-paste connection snippet for Claude Desktop, Cursor, VS Code, and Claude Code. Wiring it into a real AI client is a copy-paste, not a separate step. (Prefer the raw tool list instead? legacy2mcp inspect --config config.yaml.)
legacy2mcp discover does the same for sources that benefit from a review step first (a Postman collection, a HAR capture, …): write a contract, open the same test chat, print the same connection snippet — one command either way.
Have your own WSDL, REST API, website, or codebase instead? legacy2mcp init (no flags) walks you through it — see Generate a config automatically. More demos (a local SOAP service, Docker, a WSDL served by raw URL) are listed in examples/.
[!NOTE]
legacy2mcpintrospects your legacy system live — every WSDL operation, every database table, every REST spec it can find — and builds a real JSON Schema for each tool from it. Every MCP tool call is schema-validated before it reaches your backend, write operations are excluded by default, and every call is audit-logged. No hand-written adapter code, no hand-maintained schemas, no arbitrary SQL from the LLM.
# Full install (recommended)
pip install "legacy2mcp[ai]"
legacy2mcp init[ai]pip install legacy2mcp
Also published to the [MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.bvenkata/legacy2mcp) as io.github.bvenkata/legacy2mcp, so registry-aware MCP clients can discover it directly.
flowchart LR
WSDL["WSDL / XSD"] --> GEN["legacy2mcp schema generation"] DB["DB schema (allowlisted tables)"] --> GEN GEN --> TOOLS["Typed MCP tools one per operation / table / query"] AGENT["AI agent / MCP client"] -->|tool call| VAL{"schema validation"} TOOLS -. defines .-> VAL VAL -->|invalid args| REJ["rejected, never reaches SOAP/DB"] VAL -->|valid and allowed| BACKEND["SOAP endpoint or database"] BACKEND --> RESP["plain JSON back to the agent"] VAL --> LOG[("audit log")]
SOAP:
zeep, a mature, widely-used Python SOAP client.schema/xsd_to_jsonschema.py) — simple types, nested complex types, enums and arrays, recursively, depth-limited for pathological WSDLs. _ .jsonschema (schemas use additionalProperties: false), calls the operation via zeep, serializes the response to plain JSON, and writes an audit entry.DB:
psycopg / pyodbc / oracledb, imported lazily) and introspects the live column types for each allowlisted table (adapters/db_dialects.py) into JSON Schema (schema/sql_to_jsonschema.py).select_ / insert_ per allowlisted table-and-operation, plus query_ per named query in config.:param placeholder convention, executes it, and writes an audit entry. The LLM never sees or writes SQL text.allow_write_operations: true.REST:
legacy2mcp init's OpenAPI/Swagger discovery or source-code scan. _ .location, substitutes {param} placeholders into the URL, and calls it with requests -- auth applied per the adapter's auth config (basic/bearer/none).write: true are excluded unless allow_write_operations: true. legacy2mcp init sets that flag by default on non-GET endpoints and on endpoints whose names look like writes; in a hand-written config, the HTTP method alone does not hide an endpoint.Because a hand-written adapter is a second copy of your system's schema that nobody remembers to update. The first time a WSDL operation's signature shifts or a column changes, your tool's JSON Schema silently drifts from reality — and an LLM calling it finds out by sending arguments that are wrong in a way nothing catches, or by getting a confusing runtime error from deep inside the SOAP/DB client. legacy2mcp builds the schema from the live system every time it starts, so a drifted call fails at validation, before it ever reaches your backend — not after.
| Hand-written adapter (FastMCP / raw SDK) | Generic OpenAPI-to-MCP proxy | legacy2mcp | |
|---|---|---|---|
| Schema source | Typed by hand, per tool | The OpenAPI spec, if one exists | The live WSDL / DB schema, or a discovered OpenAPI spec |
| Can drift from the real system | Yes — nothing re-checks it | Only if the spec itself is stale | No — rebuilt from the live source at startup |
| Covers SOAP / a database | You write that client code yourself | No — REST/OpenAPI only | Yes, plus REST and plain websites |
| Write operations hidden by default | No — you remember to gate each one | No — usually exposes everything the spec defines | Yes — explicit allow_write_operations opt-in |
| Audit log of every call | DIY | Usually no | Built in |
| Time to a working server | Hours to days, per system | Minutes, for a REST API with a spec | Minutes — legacy2mcp init |
# config.yaml
server: name: my-legacy-mcp
adapters:
security: audit: enabled: true path: "./legacy2mcp-audit.log"
export SERVICE_PASSWORD=...
legacy2mcp inspect --config config.yaml # review the generated tools legacy2mcp run --config config.yaml
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