mcpc-tech/mcpc
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MCPC is a platform that allows users to build scalable agentic MCP servers using a single prompt, leveraging thousands of dependent MCPs.
MCPC
Build agentic MCP servers by composing existing MCP tools.
MCPC is the SDK for building agentic MCP (Model Context Protocol) Servers. You can use it to:
- Create Powerful Agentic MCP Tools: Simply describe your vision in text and reference tools from the expanding MCP community. As standard MCP tools, your agents work everywhere and collaborate seamlessly.
- Fine-Tune Existing Tools: Flexibly modify existing tool descriptions and parameters, or wrap and filter results to precisely adapt them to your specific business scenarios.
- Build Multi-Agent Systems: By defining each agent as a MCP tool, you can compose and orchestrate them to construct sophisticated, collaborative multi-agent systems.
Key Features
- Portability and agent interoperability: Build once, run everywhere as MCP tools - agents work across all MCP clients and can discover and collaborate with each other through standard MCP interfaces
- Simple composition and fine-tuning: Compose MCP servers as building blocks, select and customize tools, or modify their descriptions and parameters
- Logging and tracing: Built-in MCP logging and OpenTelemetry tracing support
- Skills support: Define domain-specific knowledge following the Agent Skills specification - deploy to production, share via MCP, and declare tool dependencies
- Flexible execution modes: Multiple specialized modes to fit different
scenarios - interactive agent (
agentic), AI SDK sampling (ai_sampling), AI ACP mode (ai_acp), and secure code execution () - each with dedicated implementations
Quick Start
Three Ways to Get Started
1. Use the Website (Fastest)
Visit mcpc.tech to browse servers from the official MCP registry, discover tools, and generate ready-to-use agents.
2. Use the Agent (Interactive)
Let AI help you discover servers and build agents:
Add to your MCP client:
{
"mcpServers": {
"mcpc-builder-agent": {
"command": "npx",
"args": ["-y", "@mcpc-tech/builder", "mcpc-builder-agent"]
}
}
}
3. Write Code (Full Control)
Use the SDK directly for complete customization. See examples below.
Installation
# npm (from npm registry)
npm install @mcpc-tech/core
# npm (from jsr)
npx jsr add @mcpc/core
# deno
deno add jsr:@mcpc/core
# pnpm (from npm registry)
pnpm add @mcpc-tech/core
# pnpm (from jsr)
pnpm add jsr:@mcpc/core
Or run directly with the CLI (no installation required):
# Run with remote configuration
npx -y @mcpc-tech/cli --config-url \
"https://raw.githubusercontent.com/mcpc-tech/mcpc/main/packages/cli/examples/configs/codex-fork.json"
Examples: Create a Simple Codex/Claude Code Fork
import { mcpc } from "@mcpc/core";
const server = await mcpc(
[{ name: "coding-agent", version: "0.1.0" }, { capabilities: { tools: {} } }],
[{
name: "coding-agent",
description: `
You are a coding assistant with advanced capabilities.
Your capabilities include:
- Reading and writing files
- Executing terminal commands to build, test, and run projects
- Interacting with GitHub to create pull requests and manage issues
Available tools:
<tool name="desktop-commander.execute_command" />
<tool name="desktop-commander.read_file" />
<tool name="desktop-commander.write_file" />
<tool name="github.create_pull_request" />
`,
deps: {
mcpServers: {
"desktop-commander": {
command: "npx",
args: ["-y", "@wonderwhy-er/desktop-commander@latest"],
transportType: "stdio",
},
github: {
transportType: "streamable-http",
url: "https://api.githubcopilot.com/mcp/",
},
},
},
}],
);
Complete Example: See the full .
Examples: Load Agent Skills
For complex agents where inline description becomes unwieldy, use
Agent Skills to organize domain knowledge in separate
files that are loaded on-demand.
import { createBashPlugin, createSkillsPlugin } from "@mcpc/core/plugins";
const server = await mcpc(
[{ name: "my-agent", version: "1.0.0" }, { capabilities: { tools: {} } }],
[{
name: "my-agent",
description: 'An agent with domain knowledge\n\n<tool name="bash"/>',
plugins: [
createSkillsPlugin({ paths: ["./skills"] }),
createBashPlugin(),
],
}],
);
Skills load domain knowledge on-demand, while bash plugin enables script
execution. For scripts in scripts/ directory, skills returns the path - use
bash tool to execute.
Complete Examples: See and .
Examples: Progressive Manual Disclosure
For agents with detailed instructions, use the manual field to reduce initial
prompt length - the full manual is fetched on-demand via man { manual: true }:
const server = await mcpc(
[{ name: "code-reviewer", version: "1.0.0" }, {
capabilities: { tools: {} },
}],
[{
name: "code-reviewer",
description: "AI code reviewer for quality and security analysis.",
manual: `Detailed review guidelines...
<tool name="desktop-commander.read_file"/>
<tool name="desktop-commander.write_file"/>
## Review Categories
1. Code Quality - readability, naming, complexity
2. Security - SQL injection, XSS, credentials
...`,
deps: {
mcpServers: {
"desktop-commander": {
command: "npx",
args: ["-y", "@wonderwhy-er/desktop-commander@0.1.20"],
transportType: "stdio",
},
},
},
}],
);
Complete Example: See .
How It Works
Three simple steps:
- Define dependencies - List the MCP servers you want to use
- Write agent description - Describe what your agent does and reference tools
- Create server - Use
mcpc()to build and connect your server
Execution Modes
MCPC provides multiple flexible execution modes to fit different scenarios:
| Mode | Description | Use Case |
|---|---|---|
agentic | Interactive step-by-step execution | Standard agent interactions |
ai_sampling | AI SDK sampling mode | Autonomous AI SDK execution |
ai_acp | AI SDK ACP mode | Coding agents (Claude Code) |
code_execution | Secure JavaScript sandbox with tool access | Code generation and execution |
Quick Example
// Interactive agent (default)
{ options: { mode: "agentic" } }
// Autonomous agent
{ options: { mode: "ai_sampling", samplingConfig: { maxIterations: 10 } } }
// Code execution with sandbox
import { createCodeExecutionPlugin } from "@mcpc/plugin-code-execution/plugin";
{
plugins: [createCodeExecutionPlugin()],
options: { mode: "code_execution" }
}
Detailed Documentation: See for comprehensive information on each mode, configuration options, and best practices.
Documentation
- - Installation and first steps
- - Complete tutorial
- - Comprehensive guide to all execution modes
- - Using the MCPC CLI
- - MCP logging and OpenTelemetry tracing
- - Real-world use cases
- - Common questions and answer
Examples
See working examples in the or check out the .
Contributing
We welcome contributions! See for details.
License
MIT License - see for details.
