SEED MCP
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., "@SEED MCPwho am I?"
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.

SEED MCP
SEED - Unified System Identity for Compound Intelligence
What It Does
SEED provides a unified interface to compound AI systems. Instead of users juggling multiple tools and frameworks, SEED presents one coherent voice that coordinates everything behind the scenes.
Related MCP server: KOI-MCP Integration
Current Features
who_am_i(context="")- Returns unified system identity with optional context
Installation
pip install .Usage
As an MCP server, SEED integrates with Claude Code and other MCP clients to provide unified system awareness.
Architecture
SEED coordinates between:
STARLOG (project workflows)
HEAVEN Framework (agent orchestration)
GIINT (multi-fire intelligence)
Carton (knowledge management)
PayloadDiscovery (structured sequences)
The goal: Complex internally, simple externally. Many minds, one voice.
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
- Alicense-qualityDmaintenanceFacilitates enhanced interaction with large language models (LLMs) by providing intelligent context management, tool integration, and multi-provider AI model coordination for efficient AI-driven workflows.MIT
- -license-quality-maintenanceA bridging framework that integrates Knowledge Organization Infrastructure (KOI) with Model Context Protocol (MCP), enabling autonomous agents to exchange personality traits and expose capabilities as standardized tools.2
- Flicense-qualityDmaintenanceA master control platform that orchestrates intelligent agents with a plug-and-play architecture, allowing users to manage and coordinate multiple AI agents through a unified system.
- AlicenseAqualityAmaintenanceUnified MCP orchestration layer that consolidates multiple MCPs into a single interface with semantic tool discovery, code-mode execution, scheduling, and intelligent caching to reduce token usage by 97% and eliminate choice paralysis.29197Elastic 2.0
Related MCP Connectors
Build, validate, and deploy multi-agent AI solutions from any AI environment.
SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.
Universal AI API Orchestrator — 1,554 tools, 96 services. One install.
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/sancovp/seed-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server