MCP

Discover and Install New Agent Capabilities

MCP Server connector for AI agents to discover and install new capabilities on demand, acting as an app store for agents.

Works with githubnode.js

90
Spark score
out of 100
Updated 4 months ago
Version 1.0.0
Models

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Why it matters

Transform static language models into evolving agents by enabling them to discover and install new capabilities on demand, acting as an 'App Store for agents'.

Outcomes

What it gets done

01

Search the MCPfinder registry for available MCP servers by keywords or tags.

02

Retrieve detailed information about specific MCP servers.

03

Add or update MCP server configurations locally.

04

Remove MCP server configurations from local settings.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-mcpfinder | bash

Capabilities

Tools your agent gets

search_mcp_servers

Searches the MCPfinder registry for available MCP servers by keywords or tags

get_mcp_server_details

Retrieves detailed information about a specific MCP server, including its manifest and installation

add_mcp_server_config

Adds or updates MCP server configuration in the local configuration of the client application

remove_mcp_server_config

Removes a specific MCP server configuration from the local configuration of the client application

Overview

MCPfinder MCP Server

What it does

MCPfinder enables language models to search for and install new MCP server capabilities on demand, acting as an "App Store for agents" that transforms static models into evolving agents that hunt for new capabilities.

How it connects

MCPfinder is useful for AI agents that need to discover and install new tools or functionalities they do not currently possess. This is ideal for scenarios where an AI needs to adapt to new tasks, such as discovering tools for code generation, data analysis, or specialized knowledge retrieval during a conversation. It can also be used to automatically expand AI capabilities in real-time.

Source README

MCPfinder enables language models to search for and install new MCP server capabilities on demand, acting as an "App Store for agents" that transforms static models into evolving agents that hunt for new capabilities.

Installation

Interactive Setup

npx -y @mcpfinder/server install

Cloud Access (HTTP/SSE)

claude mcp add --transport http mcpfinder https://mcpfinder.dev/mcp

From Source

git clone https://github.com/mcpfinder/server
node index.js

Configuration

Stdio Transport (Local)

{
  "mcpServers": {
    "mcpfinder": {
      "command": "npx",
      "args": [
        "-y",
        "@mcpfinder/server"
      ]
    }
  }
}

HTTP/SSE Transport (Cloud)

{
  "mcpServers": {
    "mcpfinder": {
      "url": "https://mcpfinder.dev/mcp",
      "transport": "http"
    }
  }
}

Available Tools

Tool Description
search_mcp_servers Searches the MCPfinder registry for available MCP servers by keywords or tags
get_mcp_server_details Retrieves detailed information about a specific MCP server, including its manifest and installation...
add_mcp_server_config Adds or updates MCP server configuration in the local configuration of the client application...
remove_mcp_server_config Removes a specific MCP server configuration from the local configuration of the client application...

Features

  • Effortless setup with instant availability
  • AI-ready autonomous tool discovery and installation
  • Real-time capability enhancement on demand
  • Support for both stdio and HTTP/SSE transports
  • Interactive setup tool for automatic MCP configuration
  • Registry of verified MCP servers requiring no manual setup
  • Server registration capability for publishers
  • Support for both Node.js (npx) and Python (uvx) packages

Environment Variables

Optional

  • MCPFINDER_API_URL - Base URL for the MCPfinder registry API
  • MCP_PORT - Port number on which the server will listen in HTTP mode

Usage Examples

Search for MCP servers with the capabilities you need
Install new tools when AI lacks a required capability
Discover available MCP servers for code generation, data analysis, or specialized knowledge
Automatically expand AI capabilities during conversations

Notes

The registry contains several hundred servers that can be run locally using npx or uvx without needing to configure environment variables. The server acts as the primary interface for discovering and enabling new tools when requested capabilities are unavailable in the current set of MCP tools.

Discussion

Questions & comments · 0

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