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CostAffective MCP Server
@okyashgajjar
Basic information
About CostAffective MCP Server
Intelligent repository context for AI coding assistants. Provides code search, symbol lookup, call graphs, and reference tracking via MCP. Uniquely designed to minimize prompt-cache costs in long sessions stash/recall/remember tools keep large content out of context until needed,
CostAffective MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"costaffective": {
"command": "costaffective",
"args": [
"serve"
]
}
}
}CostAffective MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is CostAffective-MCP?
CostAffective-MCP is a local MCP server that optimizes token usage for AI coding agents by providing efficient, token-budgeted access to repository symbols, code, and context. It integrates with any stdio MCP client like Claude Code, Cursor, or Cline, and is designed for developers using AI coding agents in long sessions to reduce prompts and costs.
How to use CostAffective-MCP?
Install via the provided curl script or build from source with Go 1.25+ and a C compiler. Configure your MCP client with the command costaffective and argument serve. The server will automatically index your repository on first access and provide 11 MCP tools for code retrieval, context control, and maintenance.
Key features of CostAffective-MCP
- Semantic code search by natural language query
- Symbol definition lookup and full implementation retrieval
- Finds references and callers for any symbol
- Persist durable facts
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