MCP Orchestration System
Manages environment variables for the MCP server, including storing credentials like Gmail access information
Connects with GitHub repositories for code management and version control of the MCP system
Integrates with Gmail for communication capabilities, using stored credentials from the environment variables
Provides deployment configuration for hosting the MCP server on Netlify's platform
Offers deployment configuration for hosting the MCP server on Render's cloud platform
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Orchestration Systeminitialize the email agent and test the pipeline"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP
📌 Functionality:
Acts as the master orchestrator for all intelligent agents.
Provides scripts to initialize and test all agents and pipelines.
Uses a plug-and-play model via
BaseMCPAgentto build new agents.
Related MCP server: Orchestrator MCP Server
📂 Main Files:
README.md– Project overview and how to run the system.USER_GUIDE.md– Walkthrough on using agents.COMPLETE_SYSTEM_STATUS.md– Tracks which agents are working..env– Stores environment variables like Gmail credentials.netlify.toml,render.yaml– Deployment configurations.
🚀 Getting Started:
Clone the repository:
git clone https://github.com/Nisarg-123-web/MCP.git cd MCP
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Flicense-qualityDmaintenanceA master control program that orchestrates intelligent agents with a plug-and-play architecture, enabling seamless coordination and management of AI agent workflows.Last updated
- Alicense-qualityCmaintenanceCoordinates up to 64 parallel expert agents for complex multi-agent orchestration and intelligent task routing within Claude Code. It enables users to analyze requests, manage hierarchical execution plans, and monitor active orchestration sessions.Last updatedMIT
- Alicense-qualityAmaintenanceA multi-agent task management system for AI applications that enables users to create agents with roles and capabilities, delegate tasks with trust-based routing, coordinate file access to prevent conflicts, and monitor performance through a unified dashboard.Last updated24MIT
- Flicense-quality-maintenanceA production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.Last updated2
Related MCP Connectors
Build, validate, and deploy multi-agent AI solutions from any AI environment.
Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.
Enterprise AI Control Plane: governance, guardrails, spend tracking, compliance & smart routing.
Appeared in Searches
- A server for orchestrating and validating AI agents
- Multi-agent AI orchestration system with specialized agents for venture capital analysis, McKinsey-style presentations, and financial analysis
- Agent Creation and Orchestration
- AI Model CLI Tools and Orchestration Configuration
- Building Agentic AI Solutions
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/tensorwhiz141/MCP2'
If you have feedback or need assistance with the MCP directory API, please join our Discord server