Provides a reference implementation of the Model Context Protocol specification. Exposes core functionality for AI agents to manage and share model context. Connects to various AI model systems and APIs. Used by developers building or integrating with MCP-compliant systems.
Provides a reference implementation of the Model Context Protocol specification. Exposes core functionality for AI agents to manage and share model context. Connects to various AI model systems and APIs. Used by developers building or integrating with MCP-compliant systems.
npx -y @iflow-mcp/mcpjam_mcp_specAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"iflow-mcp-mcpjammcpspec-npm": {
"command": "npx",
"args": [
"-y",
"npx -y @iflow-mcp/mcpjam_mcp_spec"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcpjam_mcp_spec?"
No configuration required. This server works out of the box.
"What resources are available in mcpjam_mcp_spec?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcpjam_mcp_spec"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcpjam_mcp_spec with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.