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Releases: okyashgajjar/costaffective-mcp

v2.0.0

16 Jun 20:39

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Changelog

  • 8152671 Add benchmark harness, self-update command, and dataset generator
  • 432a05f Add download badges for Linux and Windows
  • 4db2c22 Add project title and logo to README
  • 405fce3 Added WSL based installation functionality for windows
  • 561f5e5 Enhance installation section in README.md
  • de5e63f Fix extraction loopholes and add 7 languages (Rust/Java/C/C++/C#/Ruby/PHP)
  • e9209b8 Fix formatting and update download instructions in README
  • 65d50e6 Improve formatting of download section in README
  • e66976b Inlcuded MCP Website Links
  • da95e3d Installation Recommendations
  • 485cc7a Release v2: read_symbol, multi-client skills, session-cache & recall fixes
  • 66faf0d Update README with installation instructions
  • dec3176 Updated Installation Via CURL, added cross platform download functionality

v1.0.2

10 Jun 13:28

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What is implemented in CostAffective MCP (v1.0.2)

Core Retrieval Engine

  • Architecture-aware repository analysis
  • Multi-strategy code retrieval
  • Semantic repository search
  • Grep-based search
  • Full-text search (SQLite FTS)
  • Naive fallback retrieval
  • Context ranking and relevance scoring

Repository Understanding

  • Project architecture detection
  • Repository structure analysis
  • Language-aware code discovery
  • Tree-sitter based source code parsing
  • Symbol and reference extraction

Context Optimization

  • Context compression
  • Response compression
  • Context building and aggregation
  • Token usage reduction strategies
  • Cost-focused retrieval pipeline

Memory Systems

  • Repository memory
  • Discovery memory
  • Knowledge memory
  • Session management

Storage Layer

  • SQLite-backed storage
  • Persistent indexing
  • Cache management
  • Repository state tracking

MCP Server

  • MCP-compatible stdio server
  • Tool registration and execution
  • Local-first architecture
  • Zero-cloud operation

Installer System

  • Claude Code integration
  • Cursor integration
  • OpenCode integration
  • Codex CLI integration
  • Antigravity integration
  • Automatic configuration generation
  • Doctor/health-check commands

Developer Experience

  • Version command
  • Build metadata injection
  • Installation verification
  • Environment diagnostics
  • Configuration validation

Quality & Release Infrastructure

  • GitHub Actions CI/CD
  • Automated testing
  • Automated linting
  • GoReleaser integration
  • Versioned releases
  • Linux amd64 release builds
  • Windows amd64 release builds
  • SHA256 checksum generation

Current Focus

CostAffective MCP is designed to help coding assistants work on large repositories with lower token usage and lower cost by retrieving only the most relevant code, architecture information, and repository context instead of sending large amounts of source code to the model.