Claude Task Master vs Modelcontextprotocol MCP
A side-by-side look at the Claude Task Master and Modelcontextprotocol MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Claude Task Master for developer tools work as a local process; choose Modelcontextprotocol MCP for developer tools. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Claude Task Master when
- You need dedicated capabilities in the Developer Tools domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
ANTHROPIC_API_KEY, OPENAI_API_KEY, GOOGLE_API_KEY, PERPLEXITY_API_KEY, XAI_API_KEY, OPENROUTER_API_KEY, MISTRAL_API_KEY, TASK_MASTER_TOOLS.
Choose Modelcontextprotocol MCP when
- You need dedicated capabilities in the Developer Tools domain.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Quality signal | 61/100 · Good | 41/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | ANTHROPIC_API_KEYOPENAI_API_KEYGOOGLE_API_KEYPERPLEXITY_API_KEYXAI_API_KEYOPENROUTER_API_KEYMISTRAL_API_KEYTASK_MASTER_TOOLS | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 28,270 | 7,398 |
| Directory activity | 10 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Claude Task Master | View Modelcontextprotocol MCP |
Tools & capabilities
Claude Task Master tools
No tool names declared yet. Check the project README from the listing page.
Modelcontextprotocol MCP tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Claude Task Master
{
"mcpServers": {
"eyaltoledano-claude-task-master": {
"command": "npx",
"args": [
"-y",
"task-master-ai"
],
"env": {
"ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
"GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY_HERE",
"PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
"XAI_API_KEY": "YOUR_XAI_API_KEY_HERE",
"OPENROUTER_API_KEY": "YOUR_OPENROUTER_API_KEY_HERE",
"MISTRAL_API_KEY": "YOUR_MISTRAL_API_KEY_HERE",
"TASK_MASTER_TOOLS": "YOUR_TASK_MASTER_TOOLS_HERE"
}
}
}
}
Modelcontextprotocol MCP
No confirmed install command for Modelcontextprotocol MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Claude Task Master is categorized under Developer Tools and uses a local stdio subprocess. Modelcontextprotocol MCP belongs to Developer Tools and uses an install path we have not confirmed yet. Pick Claude Task Master for developer tools work and Modelcontextprotocol MCP for developer tools.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Modelcontextprotocol MCP has no confirmed install command yet — follow its own setup instructions.
Claude Task Master is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Modelcontextprotocol MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add eyaltoledano-claude-task-master and mcp-registry-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Claude Task Master has a quality signal of 61/100 (Good) with 10 views, 0 installs and 28,270 GitHub stars. Modelcontextprotocol MCP has 41/100 (Fair) with 0 views, 0 installs and 7,398 GitHub stars.