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mcpc MCP Server

mcpc-tech/mcpc

Score: 78.5 → 0.3% Rank #2298 MCP Server
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Build agentic-MCP servers by composing existing MCP tools.

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Overview

mcpc-tech/mcpc is a TypeScript MCP server licensed under MIT. Build agentic-MCP servers by composing existing MCP tools. Topics: mcpc, mcp-compose, mcp-server, agentic-mcp, code-mode-mcp.

Ranked #2298 out of 24846 indexed tools.

In the top 10% of all indexed tools.

Ecosystem

TypeScript MIT
mcpcmcp-composemcp-serveragentic-mcpcode-mode-mcp

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 104

104 stars → growing community

Freshness 25% 23d ago

Last commit 23d ago → recently updated

Issue Health 25% 71%

15/21 issues closed → decent issue management

Contributors 10% 4

4 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 10
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp server""mcp-server"topic:mcp-server

From the README

# 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:

1. **Create Powerful Agentic MCP Tools:** Simply describe your vision in text
   and reference tools from the
   [expanding MCP community](https://registry.modelcontextprotocol.io/docs#/operations/list-servers).
   As standard MCP tools, your agents work everywhere and collaborate
   seamlessly.
2. **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.
3. **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 collabor
Read full README on GitHub →

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