The fetch mcp server provides HTTP request capabilities for AI agents. It exposes GET, POST, PUT, DELETE, and PATCH methods with configurable headers, query parameters, and request bodies. It connects to any RESTful API or web service. Developers use it to integrate web services into AI workflows, automate API interactions, and retrieve or manipulate data from web-based systems.
The fetch mcp server provides HTTP request capabilities for AI agents. It exposes GET, POST, PUT, DELETE, and PATCH methods with configurable headers, query parameters, and request bodies. It connects to any RESTful API or web service. Developers use it to integrate web services into AI workflows, automate API interactions, and retrieve or manipulate data from web-based systems.
npx -y mcp-fetch-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"zcaceres-fetch-mcp-github": {
"command": "npx",
"args": [
"-y",
"npx -y mcp-fetch-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from fetch mcp?"
No configuration required. This server works out of the box.
"What resources are available in fetch mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in fetch mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in fetch mcp 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.