What is the abcoder MCP server?

cloudwego/abcoder — deep, reliable and confidential coding-context AgentRank score: 64.9/100.

Is the abcoder MCP server actively maintained?

The abcoder MCP server was last committed 2mo ago and has 23 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

abcoder MCP Server

Name: cloudwego/abcoder
Rating: 3.6 (1 reviews)
Author: cloudwego

cloudwego/abcoder

Score: 64.9 Rank #5078 MCP Server

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Overview

cloudwego/abcoder is a Go tool licensed under Apache-2.0. deep, reliable and confidential coding-context Topics: lsp, ast, ai-coding, mcp-server, context-engineer, ai-agent.

Ranked #5078 out of 24846 indexed tools.

Has 23 contributors.

Ecosystem

Go Apache-2.0

lspastai-codingmcp-servercontext-engineerai-agent

Score Breakdown

Stars 15% 390

390 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 50%

18/36 issues closed → decent issue management

Contributors 10% 23

23 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 58

Description Brief

License Apache-2.0

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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Freshness high impact

Last commit was 72 days ago — a recent commit would boost your freshness score

Dependents medium impact

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

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Markdown

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Details

Stars: 390
Forks: 58
Open Issues: 18
Closed Issues: 18
Contributors: 23
Dependents: —
Language: Go
License: Apache-2.0
Last Commit: 2mo ago

Matched Queries

topic:mcp-server

From the README

# ABCoder: AI-Based Coder(AKA: A Brand-new Coder)

# Overview
ABCoder, an AI-oriented Code-processing **Framework**, is designed to enhance and extend the coding context for Large-Language-Model (LLM), finally boosting the development of AI-assisted-programming applications. 

## Features

- Universal Abstract-Syntax-Tree (UniAST), a language-independent, AI-friendly specification of code information, providing a boundless, flexible and structural coding context for both AI and humans.
  
- General Parser, parses arbitrary-language codes to UniAST.

- General Writer transforms UniAST back to code.

- **Code-Retrieval-Augmented-Generation (Code-RAG)**, provides a set of MCP tools to help the LLM understand code repositories precisely and locally. And it can support both in-workspace and out-of-workspace third-party libraries simultaneously -- I guess you are thinking about [DeepWiki](https://deepwiki.org) and [context7](https://github.com/upstash/context7), but ABCoder is more reliable

Read full README on GitHub →