Phalcon MCP Server
About
MCP server that integrates with the BlockSec https://blocksec.com platform to provide blockchain transaction analysis.
Details
- Author
- mark3labs
- GitHub stars
- 11
- Downloads
- 144
- Categories
- Other
Jump to
- Trace the different calls of a transaction with gas usage metrics
- Profile a transaction with flow of funds and token information
- Get human-readable labels for contract addresses
- Retrieve detailed balance change information
- Retrieve detailed state change information (e.g., storage variables)
- Comprehensive transaction overview aggregating all analysis tools
- Look up chain ID by name, chain, or chain slug
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Phalcon MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install via go install github.com/mark3labs/phalcon-mcp@latest or run the Docker image. Start the server with phalcon-mcp serve. It can also be used as a Go package in stdio or in-process mode.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"phalcon mcp server": {
"phalcon-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mark3labs/phalcon-mcp:latest",
"serve"
]
}
}
}
}
McpServers
{
"phalcon-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mark3labs/phalcon-mcp:latest",
"serve"
]
}
}
Phalcon MCP Server
This MCP server integrates with the BlockSec platform to provide blockchain transaction analysis tools via the Model Context Protocol (MCP).
The Model Context Protocol (MCP) is a protocol for AI model integration, allowing AI models to access external tools and data sources.
Components
Tools
Transaction Analysis
- Trace
- Trace the different calls of a transaction on a blockchain along with gas usage metrics
- Parameters: chainId (required), transactionHash (required)
- Profile
- Profile a transaction on a blockchain with details about the transaction, flow of funds and token information
- Parameters: chainId (required), transactionHash (required)
- AddressLabel
- Get human readable labels for contract addresses like tokens, protocols, and other on-chain entities
- Parameters: chainId (required), transactionHash (required)
- BalanceChange
- Retrieve detailed balance change information for a transaction
- Parameters: chainId (required), transactionHash (required)
- StateChange
- Retrieve detailed information about state changes like storage variables in contracts for a transaction
- Parameters: chainId (required), transactionHash (required)
- TransactionOverview
- Comprehensive overview of a transaction by aggregating data from all available analysis tools
- Parameters: chainId (required), transactionHash (required)
Chain Information
- GetChainIdByName
- Get the chain ID for a blockchain by name, chain, or chainSlug
- Parameters: name (required)
Getting Started
Installation
Using Go Install
go install github.com/mark3labs/phalcon-mcp@latest
Usage
Start the MCP server:
phalcon-mcp serve
Check the version:
phalcon-mcp version
Using as a Package
You can import the server in your Go projects:
Stdio Mode
import "github.com/mark3labs/phalcon-mcp/server"
func main() {
// Create a new server with version
s := server.NewServer("1.0.0")
// Start the server in stdio mode
if err := s.ServeStdio(); err != nil {
log.Fatalf("Server error: %v", err)
}
}
In-Process Mode
For in-process usage with the mcp-go client library:
import (
"context"
"log"
"github.com/mark3labs/mcp-go/client"
"github.com/mark3labs/mcp-go/client/transport"
"github.com/mark3labs/phalcon-mcp/server"
)
func main() {
// Create the Phalcon MCP server
phalconServer := server.NewServer("1.0.0")
// Create an in-process transport using the server's MCPServer
inProcessTransport := transport.NewInProcessTransport(phalconServer.GetMCPServer())
// Create an MCP client using the in-process transport
mcpClient := client.NewMCPClient(inProcessTransport)
// Start the transport
ctx := context.Background()
if err := mcpClient.Connect(ctx); err != nil {
log.Fatalf("Failed to connect: %v", err)
}
defer mcpClient.Close()
// Initialize the client
if err := mcpClient.Initialize(ctx); err != nil {
log.Fatalf("Failed to initialize: %v", err)
}
// List available tools
tools, err := mcpClient.ListTools(ctx)
if err != nil {
log.Fatalf("Failed to list tools: %v", err)
}
// Use the tools...
result, err := mcpClient.CallTool(ctx, "get-chain-id-by-name", map[string]any{
"name": "ethereum",
})
if err != nil {
log.Fatalf("Failed to call tool: %v", err)
}
}
Usage with Model Context Protocol
To integrate this server with apps that support MCP:
{
"mcpServers": {
"phalcon": {
"command": "phalcon-mcp",
"args": ["serve"]
}
}
}
Docker
Running with Docker
You can run the Phalcon MCP server using Docker:
docker run -i --rm ghcr.io/mark3labs/phalcon-mcp:latest serve
Docker Configuration with MCP
To integrate the Docker image with apps that support MCP:
{
"mcpServers": {
"phalcon": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mark3labs/phalcon-mcp:latest",
"serve"
]
}
}
}
License
MIT
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