Claude Code AI Collaboration MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NODE_ENV | No | Environment mode (e.g., development, production). | production |
| LOG_LEVEL | No | Logging level for the application. | info |
| O3_API_KEY | No | Optional O3 API key (defaults to OPENAI_API_KEY if not provided). | |
| MCP_PROTOCOL | No | Transport protocol to use for the server. | stdio |
| OPENAI_API_KEY | No | Optional OpenAI API key for GPT models integration. | |
| DEEPSEEK_API_KEY | Yes | DeepSeek API key required for the primary AI provider. | |
| ANTHROPIC_API_KEY | No | Optional Anthropic API key for Claude models support. | |
| MCP_DISABLE_CACHING | No | Whether to disable the memory and Redis-compatible caching system. | false |
| MCP_DISABLE_METRICS | No | Whether to disable performance monitoring and OpenTelemetry metrics. | false |
| MCP_DEFAULT_PROVIDER | No | Default AI provider to use for requests. | deepseek |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {
"level": "info"
} |
| resources | {
"subscribe": true,
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| collaborateC | Collaborate with multiple AI providers to solve complex problems |
| reviewC | Get comprehensive reviews of content from multiple AI perspectives |
| compareC | Compare multiple items using AI analysis across various dimensions |
| refineC | Iteratively refine and improve content through AI-powered analysis and enhancement |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Collaboration History | Access to collaboration session history |
| Performance Metrics | Server performance and usage metrics |
| Search Index | Full-text search capabilities |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/atsuki-sakai/ai_collaboration_mcp_server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server