aider
13 servers · 39,454★ total
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Free, MIT alternative to paid Django schema review. Blast radius on every PR, schema drift, N+1 across functions, ER diagrams, MCP server. No DB, no Django boot, no Pro tier.
Cognitive memory for LLM agents — local-first, and shareable across a team through the cloud.
Bridge build/dev process output to AI coding sessions via MCP — supports Claude Code, Codex, OpenCode, Gemini CLI, and aider
MCP server giving AI coding agents offline, token-efficient persistent memory — recall decisions, patterns, and bugs across sessions with 68.5% fewer tokens than re-reading context. No LLM, no server; works with 15+ agents.
A safety layer for AI coding agents. CLAUDE.md/AGENTS.md generator, MCP runtime guardrail, pre-commit hook, GitHub Action.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
MCP server for bidirectional AI agent collaboration — 5 tools for spawning and communicating with any agent CLI
Unify, search & analyse your AI chat history from Copilot, Claude, Cline, Roo Code, Cursor, Windsurf, Aider & Antigravity — with MCP server. 100% local.
Production-backed 6-layer memory architecture for AI coding agents. Model-agnostic — works with Claude Code, Cursor, Aider, Copilot, or any custom agent. Includes templates, scripts, interactive wiki graph builder, and one-line installer.
Host-aware model routing for coding agents. Python library + MCP server for Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Aider.
MCP server that gives AI coding assistants production-grade engineering standards — SOLID, testing, architecture, CI/CD — for Claude, Cursor, Copilot, Windsurf, Cline & Aider
AI-assisted Jira automation that generates tests, runs them in Docker, opens PRs, and reports results back to Jira via MCP.