Claude Task Master vs MCP Run Python
A side-by-side look at the Claude Task Master and MCP Run Python 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 MCP Run Python for code execution. 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 MCP Run Python when
- You need dedicated capabilities in the Code Execution domain.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Developer Tools | Code Execution |
| Quality signal | 61/100 · Good | 43/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | API key required | No auth required |
| Pricing | BYOK (pay the provider) | Free |
| 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 | 28,266 | 20,797 |
| Directory activity | 9 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Claude Task Master | View MCP Run Python |
Tools & capabilities
Claude Task Master tools
No tool names declared yet. Check the project README from the listing page.
MCP Run Python 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"
}
}
}
}
MCP Run Python
No confirmed install command for MCP Run Python 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. MCP Run Python belongs to Code Execution and uses an install path we have not confirmed yet. Pick Claude Task Master for developer tools work and MCP Run Python for code execution.
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. MCP Run Python 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. MCP Run Python is listed as free. Auth: no auth required. 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 pydantic-pydantic-ai-mcp-run-python 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 9 views, 0 installs and 28,266 GitHub stars. MCP Run Python has 43/100 (Fair) with 2 views, 0 installs and 20,797 GitHub stars.