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FI-Mihej/codebase-agent-mcp

by Various

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 loc

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MCP

FI-Mihej/codebase-agent-mcp

Added 8 Sept 2026

#agentic-ai#ai#code-analysis#codebase#coding-agent#developer-tools#mcp#mcp-client
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A sub-harness that acts as both an MCP server and client. It delegates documentation and source code analysis, as well as interactions with related context-providing MCP servers, to a local or inexpensive OpenAI-compatible LLM. This reduces token usage and context size for coding agents running on a top-tier LLM.

Best for

Best for
Developers using top-tier coding agents who want to cut token costs by offloading analysis to cheaper models.

Use cases

  • Offload codebase analysis to a cheaper local LLM
  • Provide context from MCP servers without consuming top-tier tokens
  • Reduce overall token costs for AI-assisted development

How to use

Install

uvx --from codebase-agent-mcp cb-agent-init

Tools exposed

  • base_url
  • api_key
  • reasoning_allowed
  • reasoning_effort
  • max_tokens
  • model_name

Clients listed in this record (not verified here)

Claude Code, Cursor, ChatGPT

Notes

1 stars on GitHub. Last updated 2026-08-02. Licensed Apache-2.0.

Pros

  • Lowers token consumption for expensive coding agents
  • Leverages local or low-cost LLMs for analysis tasks
  • Integrates as both server and client in MCP workflows

Cons

  • Limited to analysis and context delegation, not full coding
  • Depends on an external LLM for the delegated work
  • May add latency or complexity in setup

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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