Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP Server for CapSolver - captcha-solving capabilities for AI agents
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.
CAPSOLVER_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
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": {
"capsolver": {
"command": "uvx",
"args": [
"capsolver-mcp"
],
"env": {
"CAPSOLVER_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add capsolver --env CAPSOLVER_API_KEY=your-value -- uvx capsolver-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"capsolver": {
"command": "uvx",
"args": [
"capsolver-mcp"
],
"env": {
"CAPSOLVER_API_KEY": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"capsolver": {
"type": "stdio",
"command": "uvx",
"args": [
"capsolver-mcp"
],
"env": {
"CAPSOLVER_API_KEY": "your-value"
}
}
}
}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.
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 6, 2026
The registry name was verified with the GitHub account capsolver-ai, 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.
You need to fill in: CAPSOLVER_API_KEY
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 (0.1.3) reached the registry 2 months 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: Spec Driven Development, Remote Desktop Commander, FOGA node
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
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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.
MCP Server for CapSolver — expose captcha-solving capabilities to AI agents via the Model Context Protocol.
Published on PyPI as capsolver-mcp and listed in the official MCP Registry as io.github.capsolver-ai/capsolver-mcp.
See the capsolver-ai-hub repo for integration examples and the full documentation.
For detailed MCP client setup (Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and more), see docs/mcp-integration.md.
pip install capsolver-mcp
pip install capsolver-mcp[browser] # with Playwright support (for detect/solve_on_page)
All tools read the API key from the environment:
# bash / zsh
export CAPSOLVER_API_KEY="your-capsolver-api-key"
$env:CAPSOLVER_API_KEY = "your-capsolver-api-key"
set CAPSOLVER_API_KEY=your-capsolver-api-key
# stdio (default — for local MCP clients like Claude Desktop)
capsolver-mcp
capsolver-mcp --transport sse --host 0.0.0.0 --port 8000
capsolver-mcp --transport streamable-http --host 0.0.0.0 --port 8000
capsolver-mcp [OPTIONS]
--transport {stdio,sse,streamable-http} Transport protocol (default: stdio) --host HOST Bind host for SSE/HTTP transports (default: 127.0.0.1) --port PORT Bind port for SSE/HTTP transports (default: 8000) --api-key KEY API key (fallback: CAPSOLVER_API_KEY env) --name NAME Server name (default: capsolver)
from capsolver_mcp.server import create_server
server = create_server( api_key="your-key", # or set CAPSOLVER_API_KEY env var server_name="capsolver", # name advertised to MCP clients host="127.0.0.1", # bind host for SSE / HTTP transports port=8000, # bind port for SSE / HTTP transports ) server.run(transport="sse") # or "stdio" or "streamable-http"
Note:
hostandportare constructor parameters oncreate_server()
(forwarded to
FastMCP), matching the MCP Python SDK 1.x API.
Add to your claude_desktop_config.json:
{
"mcpServers": { "capsolver": { "command": "capsolver-mcp", "env": { "CAPSOLVER_API_KEY": "your-key" } } } }
To run without installing it globally, use "command": "uvx" with "args": ["capsolver-mcp"] — this is what MCP clients generate from the registry entry. See docs/mcp-integration.md for per-client examples.
| Tool | Browser? | Description |
|---|---|---|
solve_captcha | No | Solve a captcha by type + site params (token mode) |
detect_captchas | Yes | Scan a page URL and list present captcha types |
solve_on_page | Yes | Detect + solve + autofill all captchas on a page |
get_balance | No | Check account balance and packages |
get_supported_captchas | No | List all supported captcha types and handlers |
Browser-based tools (detect_captchas, solve_on_page) require the browser extra:
pip install capsolver-mcp[browser]
playwright install chromium
git clone https://github.com/capsolver-ai/capsolver-mcp.git
cd capsolver-mcp uv sync --all-extras # or: pip install -r requirements-dev.txt uv run pytest # run tests uv run ruff check src tests # lint
MIT