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codebase-agent-mcp

MCP Server Development & Runtime Low risk

A sub-harness (both an MCP server and an MCP client). Delegates documentation and source code analysis, as well as interactions with related context-providing MCP servers, to a local or inexpensive OpenAI-compatible LLM. Drastically reduces token usage and context size for coding agents on the top-tier LLM.

子 Harness(既是 MCP 服务器也是 MCP 客户端)。将文档与源代码分析,以及与提供相关上下文的 MCP 服务器的交互,委派给本地或低成本的 OpenAI 兼容 LLM。大幅降低顶层 LLM 上编码 Agent 的 Token 用量与上下文规模。

How to install

No unified install command; see the repository README.

About

CodebaseAgent-MCP CodebaseAgent-MCP is a token-efficient MCP server for AI coding agents that delegates large codebase analysis to a dedicated OpenAI-compatible LLM, reducing context size, latency, and token costs. Instead of forcing your primary coding assistant to repeatedly scan large codebases, it performs that work separately and returns only the information needed for the current task. It can run against local models such as Gemma or Qwen, as well as inexpensive OpenAI-compatible cloud providers, reducing both latency and token consumption while keeping the primary assistant focused on r…

Recommendation signals

41 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
41 Overall
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Meta

License
Apache-2.0
Language
Python
GitHub stars
1
mo. downloads
–
Last push
2026-09-15
Created
2026-07-11

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
agentic-ai, ai, code-analysis, codebase, coding-agent, developer-tools, mcp, mcp-client, mcp-server, rag, semantic-search

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