# Promptless MCP MCP Server

> **Promptless MCP MCP Server** is a hosted, multitenant Model Context Protocol (MCP) server run by **MewCP** (https://mewcp.com), giving AI agents managed access to Promptless MCP.
>
> MewCP takes care of all MCP infrastructure for you — credential storage, OAuth flows,
> token refresh, and production-grade auto-scaling — so your AI agents can connect to
> third-party services and run freely without you managing any MCP server yourself.
>
> Server page:  https://mewcp.com/mcp/gopromptless-mcp
> MewCP docs:   https://docs.mewcp.com
> Full catalog: https://mewcp.com/llms.txt

---

## About

Promptless provides visibility into how AI agents interact with websites and APIs, capturing browser actions, network requests, tool calls, and execution traces. Inspect agent workflows, debug failed interactions, analyze behavior, and identify issues in autonomous web automation.

---

## Details

- Server ID: `gopromptless-mcp`
- Version: 1.0.0
- Tools: 20
- Authentication: OAuth, managed by MewCP
- Transport: http

---

## Access

The gateway URL below serves your **entire MewCP toolset**, not this server on its
own. Pasting a config snippet is not enough — Promptless MCP has to be in the toolset
first. In order:

1. Add Promptless MCP to your toolset at https://mewcp.com/mcp/gopromptless-mcp
2. Connect your Promptless MCP account (OAuth); MewCP stores the credential and attaches it to each call
3. Copy your MewCP API key from the dashboard (Developer)
4. Configure your client with the snippet for it below

Once connected, an agent does **not** see this server's tools as top-level tools.
It sees four meta-tools and reaches everything through them:

- `search(query)` — find tools by keyword across the toolset
- `get_schema(tools)` — full description and arguments for the tools you picked
- `list_accounts(provider)` — only when one app has several connected accounts
- `call_tool(server_maskedId, tool_name, args)` — execute

So the list below is what `search` can return for this server, not a set of
callable tool names on their own.

---

## Tools (20)

Descriptions are truncated to 160 characters; call `get_schema`
for the full text and the argument schema. Where a tool is annotated, its type
is shown — treat `destructive` as irreversible.

- `submit_documentation_task` _(write)_ — Ask Promptless to update your documentation. Promptless researches the affected docs and proposes changes when needed. Returns a trigger_event_id right away,…
- `request_changes` _(write)_ — Ask Promptless to change a suggestion it already produced, the same as the Request Changes button in the Promptless dashboard. Any changes apply to that…
- `update_suggestion` _(destructive)_ — Change a suggestion's own fields and open its documentation pull request. Set the title, labels, or assignees, and pass open_pull_request to publish the branch…
- `close_suggestion` _(destructive)_ — Close a suggestion and its documentation pull request, ending the review without shipping it. Use it to reject a proposal while triaging search_suggestions…
- `list_doc_collections` _(read)_ — List the doc collections Promptless maintains for this organization, with the id to pass as doc_collection_id when submitting a task. Documentation:…
- `wait_for_task_update` _(read)_ — Follow a Promptless task: wait up to 30 seconds for new messages, changed results, or completion. Omit cursor for an immediate initial snapshot; reuse the…
- `get_task_status` _(read)_ — Check the state of any documentation task in this organization and read the suggestions it produced. It covers tasks you submitted here and tasks that started…
- `send_task_message` _(write)_ — Send additional customer instructions to an existing task submitted through the API, MCP, or the dashboard's New Task page, without creating another task.…
- `list_recent_tasks` _(read)_ — List this organization's recent documentation tasks, newest first, each with the trigger_event_id needed to check it. Use it when a task id was not kept, or to…
- `search_suggestions` _(read)_ — Search this organization's documentation suggestions by keyword, review status, and label. Use it to check whether a suggestion for a change already exists…
- `answer_task_question` _(write)_ — Answer one completed task's marked clarification. Omit answer to ask the user through native input. Supply answer only when the user already provided it; never…
- `get_account_status` _(read)_ — Report this Promptless organization's name, whether a person has claimed it, when an unclaimed agent-created organization expires, which integrations are…
- `connect_integration` _(write)_ — Create a link that lets a person connect one integration to this organization in their browser. Send connect_url to someone who administers that tool. They…
- `message_promptless_support` _(write)_ — Report a Promptless problem or ask the Promptless team for help. Include relevant task or suggestion IDs in concern. Sends a one-way report; no reply comes…
- `list_documentation_files` _(read)_ — List the files in a doc collection's repository, inside the paths Promptless maintains, at the collection's default branch or at a suggestion's branch. Use it…
- `read_documentation_file` _(read)_ — Read one file's text from a doc collection at its default branch, or at a suggestion's branch to see the proposed version. The path must lie inside the…
- `search_documentation` _(read)_ — Find lines matching a substring or an RE2 regular expression (syntax similar to grep -E) across a doc collection's text files (Markdown, MDX, reStructuredText,…
- `get_suggestion_diff` _(read)_ — Show what a suggestion changes: one unified diff per file against the collection's base branch, plus the head commit to pass as expected_head_sha when editing.…
- `write_documentation_file` _(destructive)_ — Create or replace one file on an open suggestion's branch with the full content given, as one commit attributed to you. Use it for a new page or a rewrite; use…
- `edit_documentation_file` _(destructive)_ — Replace exact text in one file on an open suggestion's branch, as one commit attributed to you. Each edit's old_text must occur exactly once in the file, so…

---

## Connect

Gateway URL: https://gateway.mewcp.com/personal/mcp

Every request carries one header:

    Authorization: Bearer <API_KEY>

Replace `API_KEY` with your own key from the dashboard (Developer).

## Apps

### Claude Desktop

Mac & Windows app

- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open Claude Desktop → Settings → Developer → "Edit Config"
2. Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
3. Save the file, then quit Claude Desktop completely and reopen it
4. Start a new conversation — your tool will be available

### VS Code

Copilot / Cline

- Command Palette → "MCP: Open User Configuration" (opens mcp.json). For one project only, use .vscode/mcp.json instead.

```json
{
  "mcp.servers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have a "servers" section in your mcp.json? Just add the server entry inside it.

1. Open VS Code → Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
2. Run "MCP: Open User Configuration" to open your mcp.json
3. Paste the snippet and save
4. Start the server when prompted (or from the MCP servers view) and use it in Copilot Chat

### Cursor

AI-first editor

- macOS: `~/.cursor/mcp.json`
- Windows: `%USERPROFILE%\.cursor\mcp.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your mcp.json? Just add the server entry inside it.

1. Open Cursor → Settings → Cursor Settings → MCP
2. Click "Add new global MCP server"
3. Paste the snippet and save
4. Restart Cursor

### Codex

OpenAI's CLI agent

- Add the snippet to your Codex MCP config or your standard MCP config file for the CLI tool you use.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Codex generally reads a standard MCP server block, so you can add this alongside your other configured servers.

1. Open your Codex MCP config or project-level config file
2. Paste the MewCP server block inside the config JSON/TOML structure your tool expects
3. Save the file and restart Codex
4. Verify the tool is available inside a fresh session

### Claude Code

Anthropic's CLI agent

- ~/.claude.json (user scope) or .mcp.json in your project root — create it if it doesn't exist. Or skip the file and use the CLI command below.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open ~/.claude.json (or .mcp.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file and start (or restart) Claude Code
4. Or skip the file entirely and run the CLI command below instead

### OpenCode

Open-source terminal agent

- ~/.config/opencode/opencode.json (global) or opencode.json in your project root — create it if it doesn't exist.

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mewcp": {
      "type": "remote",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcp" section in your opencode.json? Just add the server entry inside it.

1. Open ~/.config/opencode/opencode.json (or opencode.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and start (or restart) OpenCode

### OpenClaw

Self-hosted agent gateway

- ~/.openclaw/openclaw.json — create it if it doesn't exist.

```json
{
  "mcp": {
    "servers": {
      "mewcp": {
        "transport": "streamable-http",
        "url": "https://gateway.mewcp.com/personal/mcp",
        "enabled": true,
        "headers": {
          "Authorization": "Bearer API_KEY"
        }
      }
    }
  }
}
```

Already have an "mcp" section in your openclaw.json? Just add the server entry inside "servers".

1. Open ~/.openclaw/openclaw.json in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and restart OpenClaw

### Antigravity

Google's agentic IDE

- ~/.gemini/config/mcp_config.json (global) or .agents/mcp_config.json (workspace-local) — create it if it doesn't exist.

```json
{
  "mcpServers": {
    "mewcp": {
      "serverUrl": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it. Remote servers must use the "serverUrl" field — the legacy "url"/"httpUrl" fields aren't supported.

1. In the editor's agent side panel, click "…" → "MCP Servers" → "Manage MCP Servers" → "View raw config" (Antigravity CLI: type /mcp instead to open the Interactive MCP Manager)
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file — the server connects automatically

### Hermes

Nous Research's CLI agent

- config.yaml in your Hermes config directory (~/.hermes) — add this under a top-level "mcp_servers:" key.

```yaml
mcp_servers:
  mewcp:
    url: "https://gateway.mewcp.com/personal/mcp"
    headers:
      Authorization: "Bearer API_KEY"
```

Already have an "mcp_servers" section in your config.yaml? Just add the server entry inside it.

1. Open config.yaml in your Hermes config directory
2. Paste the snippet under the top-level "mcp_servers:" key (merge with existing entries if you have any)
3. Save the file, then run /reload-mcp in Hermes (or start a fresh session)
4. Ask Hermes "Tell me which MCP-backed tools are available right now" to confirm it connected

### DeepSeek Harness

DeepSeek's agent harness

- cordis.yml in your DSH project — or the patch file you mount plugins from.

```yaml
- id: mcp-mewcp
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: mewcp
    transport: streamable-http
    url: https://gateway.mewcp.com/personal/mcp
    headers:
      Authorization: "Bearer API_KEY"
```

One plugin instance = one MCP server. Add this entry to your plugin list; don't nest it inside another entry.

1. Open cordis.yml (or your patch file) in your DSH project
2. Paste the entry into your plugin list, keeping the leading dash and indentation
3. Restart DSH (or let HMR reload) — tools register as mcp__mewcp__<tool_name>
4. Verify with: dsh web --dump-config | grep -A3 mcp

## SDKs

### Python

fastmcp client

```python
import asyncio
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

SERVER_URL = "https://gateway.mewcp.com/personal/mcp"
API_KEY = "API_KEY"

transport = StreamableHttpTransport(
    url=SERVER_URL,
    headers={
        "Authorization": f"Bearer {API_KEY}",
    }
)

async def main():
    client = Client(transport)
    async with client:
        tools = await client.list_tools()
        print(tools)

asyncio.run(main())
```

1. Install fastmcp: pip install fastmcp
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run your script

### TypeScript

MCP SDK

```typescript
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const SERVER_URL = "https://gateway.mewcp.com/personal/mcp";
const API_KEY = "API_KEY";

const transport = new StreamableHTTPClientTransport(new URL(SERVER_URL), {
  requestInit: {
    headers: {
      Authorization: `Bearer ${API_KEY}`,
    },
  },
});

const client = new Client({ name: "mewcp-client", version: "1.0.0" });
await client.connect(transport);

const tools = await client.listTools();
console.log(tools.tools.map((t) => t.name));
```

1. Install: npm install @modelcontextprotocol/sdk
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run with Node 18+ as an ES module (e.g. npx tsx script.ts)