agent-spawn-mcp 1.1.0

Universal MCP server for any OpenAI-compatible LLM. Supports OpenAI and Anthropic API formats.

AgentSpawnMCP

Universal MCP server for any OpenAI-compatible LLM. Supports OpenAI and Anthropic API formats, cloud providers (OpenAI, Grok, Claude, Minimax, DeepSeek) and local models (Ollama, LM Studio, Jan). Built on FastMCP with pure httpx.

Quick Start — Spawn Agents

# No install needed — run directly with uvx
uvx agent-spawn-mcp spawn \
  --name minimax \
  --url https://api.minimax.io/anthropic/v1 \
  --token your-token \
  --model MiniMax-M2.7 \
  --api-type anthropic

Or install globally:

pip install agent-spawn-mcp
agent-spawn-mcp spawn --name minimax --url https://api.minimax.io --token TOKEN --model MiniMax-M2.7

API Types

• --api-type openai (default) — OpenAI-compatible (chat/completions)
• --api-type anthropic — Anthropic API (v1/messages)

URL versioning

Pass --url pointing directly at the API root. If your base URL already contains a version segment (e.g. …/paas/v4), the client will not re-append v1/. Examples:

Provider	--url	--api-type
OpenAI	https://api.openai.com/v1	openai
Grok	https://api.x.ai/v1	openai
z.ai (primary)	https://api.z.ai/api/paas/v4	openai
z.ai (coding)	https://api.z.ai/api/coding/paas/v4	openai
z.ai Anthropic	https://api.z.ai/api/anthropic	anthropic
Anthropic	https://api.anthropic.com	anthropic
Minimax	https://api.minimax.io/anthropic/v1	anthropic

Claude Code / OpenCode Integration

Add to your .mcp.json:

{
  "mcpServers": {
    "minimax-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "minimax",
               "--url", "https://api.minimax.io/anthropic/v1",
               "--token", "your-minimax-token",
               "--model", "MiniMax-M2.7",
               "--api-type", "anthropic"]
    },
    "claude-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "claude",
               "--url", "https://api.anthropic.com",
               "--token", "your-anthropic-token",
               "--model", "claude-sonnet-4-20250514",
               "--api-type", "anthropic"]
    },
    "glm-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "glm",
               "--url", "https://api.z.ai/api/paas/v4",
               "--token", "your-zai-token",
               "--model", "glm-5.1"]
    },
    "glm-turbo-agent": {
      "command": "uvx",
      "args": ["agent-spawn-mcp", "spawn",
               "--name", "glm-turbo",
               "--url", "https://api.z.ai/api/paas/v4",
               "--token", "your-zai-token",
               "--model", "glm-5-turbo"]
    }
  }
}

Gotchas:

• Each entry in .mcp.json must use a unique --name — it becomes the tool name {name}_agent, and duplicates collide.
• --token on the command line is visible in ps output and some crash logs. Prefer keeping the MCP config file read-protected (chmod 600).

Tools Exposed

• {name}_agent(task, model?, system_prompt?, temperature?, max_tokens?, timeout?) — Spawn agent
• agent_info() — Get provider info

Return Format

{
    "result": "...",  # Agent response text
    "metadata": {
        "provider": "minimax",
        "model_used": "MiniMax-M2.7",
        "usage": {"prompt_tokens": 100, "completion_tokens": 500},
        "latency_ms": 2340
    }
}

---

AgentSpawnMCP — Full Server

Full MCP server with all tools (chat, vision, files, search, agent). Requires git clone.

git clone https://github.com/sandsaber/AgentSpawnMCP
cd AgentSpawnMCP
uv sync
cp example.env .env
# Edit .env with your tokens

uv run python main.py main --provider grok

Auto-Discovery

Providers auto-detected when env var is set:

Env Var	Provider
XAI_TOKEN	Grok
OPENAI_TOKEN	OpenAI
GROQ_TOKEN	Groq
DEEPSEEK_TOKEN	DeepSeek
ZAI_TOKEN	z.ai (GLM)

Available Tools (Full Server)

Tool	Description
list_providers	All discovered providers
list_models	Models for the active provider
chat	Text completion with session history
stateful_chat	Server-side conversation
chat_with_vision	Analyze images (jpg/jpeg/png)
generate_image	Create or edit images (OpenAI-format only)
upload_file / list_files / get_file_content / delete_file	File management
chat_with_files	Chat with documents
web_search	Agentic web search
code_executor	Execute code
agent	Unified agent
list_chat_sessions / get_chat_history / clear_chat_history	Session history

---

Image generation support

generate_image targets the OpenAI /images/generations request shape (model / prompt / n / image_url). Providers that expose the same shape (OpenAI dall-e-3, Grok grok-imagine-image) work out of the box.

Providers with custom image APIs are not currently supported:

• z.ai (glm-image, cogview-4-250304) expects quality / size / user_id at /paas/v4/images/generations, not the OpenAI shape.
• Anthropic-compat endpoints don't expose image generation at all.

For these, use the provider's native HTTP API directly.

License

MIT License

Copyright (c) 2025 Michael Makarov

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.