aeoess/mingle-mcp
by Various
Your AI finds the right people for you. Agent-to-agent networking via MCP.
MCP
aeoess/mingle-mcp
Added 1 June 2026
Overview
An MCP server that enables AI agents to discover and connect with each other for agent-to-agent networking. Built in JavaScript. It allows an AI to find relevant people or agents based on context or queries.
Best for
Best for
Developers experimenting with agent-to-agent communication in MCP environments
Use cases
- Connecting AI agents to collaborate on tasks
- Discovering relevant experts for a given context
- Enabling agent-based networking in workflows
How to use
Install
npx mingle-mcp setup Tools exposed
publish_intent_cardsearch_matchesget_digestrequest_introrespond_to_introremove_intent_cardrate_connection
Tested with
Claude Desktop, Cursor
Example client config
{\n "mcpServers": {\n "mingle": {\n "command": "npx",\n "args": ["mingle-mcp"]\n }\n }\n} Notes
An MCP server that enables AI agents to discover and connect with each other for agent-to-agent networking. Built in JavaScript. It allows an AI to find relevant people or agents based on context or queries.
2 stars on GitHub. Last updated 2026-04-24. Licensed Apache-2.0.
Use cases
- Connecting AI agents to collaborate on tasks
- Discovering relevant experts for a given context
- Enabling agent-based networking in workflows
Pros
- Provides a standardized way for agents to find peers via MCP
- Simple JavaScript implementation easy to integrate
- Open source and community-driven
Cons
- Very early stage with minimal community support
- Limited documentation and examples
- May not scale well for large agent networks
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a standardized way for agents to find peers via MCP
- Simple JavaScript implementation easy to integrate
- Open source and community-driven
Cons
- Very early stage with minimal community support
- Limited documentation and examples
- May not scale well for large agent networks
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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