pREST

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
• You need to fill in: PREST_MCP_URL, PREST_MCP_TOKEN

Install

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

You need

• DockerDocker installed

Which app do you use?

{
  "mcpServers": {
    "prest": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PREST_MCP_URL",
        "-e",
        "PREST_MCP_TOKEN",
        "-e",
        "PREST_MCP_TIMEOUT_MS",
        "ghcr.io/prest/prest-mcp-adapter:0.1.3"
      ],
      "env": {
        "PREST_MCP_URL": "your-value",
        "PREST_MCP_TOKEN": "your-value",
        "PREST_MCP_TIMEOUT_MS": "your-value"
      }
    }
  }
}

claude mcp add prest --env PREST_MCP_URL=your-value --env PREST_MCP_TOKEN=your-value --env PREST_MCP_TIMEOUT_MS=your-value -- docker run -i --rm -e PREST_MCP_URL -e PREST_MCP_TOKEN -e PREST_MCP_TIMEOUT_MS ghcr.io/prest/prest-mcp-adapter:0.1.3

{
  "mcpServers": {
    "prest": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PREST_MCP_URL",
        "-e",
        "PREST_MCP_TOKEN",
        "-e",
        "PREST_MCP_TIMEOUT_MS",
        "ghcr.io/prest/prest-mcp-adapter:0.1.3"
      ],
      "env": {
        "PREST_MCP_URL": "your-value",
        "PREST_MCP_TOKEN": "your-value",
        "PREST_MCP_TIMEOUT_MS": "your-value"
      }
    }
  }
}

{
  "servers": {
    "prest": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "PREST_MCP_URL",
        "-e",
        "PREST_MCP_TOKEN",
        "-e",
        "PREST_MCP_TIMEOUT_MS",
        "ghcr.io/prest/prest-mcp-adapter:0.1.3"
      ],
      "env": {
        "PREST_MCP_URL": "your-value",
        "PREST_MCP_TOKEN": "your-value",
        "PREST_MCP_TIMEOUT_MS": "your-value"
      }
    }
  }
}

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

Values you fill in

• PREST_MCP_URL required env
  URL of your running pREST HTTP MCP endpoint, for example http://localhost:3000/_mcp
• PREST_MCP_TOKEN secret env
  Optional bearer token used to authenticate with the pREST MCP endpoint.
• PREST_MCP_TIMEOUT_MS env
  Optional HTTP timeout in milliseconds. Defaults to 30000.

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

• ✓ Pass

  Maker matches the repo

  The registry name was verified with the GitHub account prest, 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 953 servers in this category
• Published to the registry more recently than 19% of the other 953 servers in this category
• Basic checks equal to or better than 100% of the other 953 servers in this category

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

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

README from the maker

MCP client / AI IDE

go install github.com/prest/prest-mcp-adapter/cmd/prest-mcp@latest

docker pull ghcr.io/prest/prest-mcp-adapter:0.1.3

PREST_MCP_URL=http://localhost:3000/_mcp prest-mcp

PREST_MCP_URL=https://api.example.com/_mcp \

docker run --rm -i \

{

{

PREST_MCP_URL=http://localhost:3000/_mcp prest-mcp

make test       # go test -race ./... and overall coverage >= 80%