#mcp

An agentic software factory that closes the loop

GCF Go implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.

Sovereign single-binary knowledge mesh for coding agents (MCP): index, search and serve your notes + code as context. Fair-code (no reselling).

The operations toolchain for production SQLite — diff, migrate, monitor, and run staged migrations across an entire fleet of Turso & Cloudflare D1 databases.

Search and retrieve US court opinions, federal dockets, judge records, citation networks, and oral arguments from CourtListener's 9M+ opinion corpus via MCP. STDIO or Streamable HTTP.

Search EU legislation, CJEU case law, and treaties; traverse the CELLAR relationship graph; resolve EuroVoc concepts via MCP. STDIO or Streamable HTTP.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

Delegate summarize/classify/extract/triage to a FREE local Gemma-4 cascade via llama.cpp. Go CLI + MCP server; never calls a cloud model. Includes a turnkey setup skill for Claude Code.

Local code-intelligence layer for AI coding tools — retrieve less, read less, edit safer. Now also versions the configs that shape your agent: CLAUDE.md, skills, hooks, MCP setups.

MCP comunitario para consultar documentación IBM i/AS400 desde un corpus local sin depender de APIs externas.

🔮 高精度AI算命工具，涵盖八字、紫微斗数、六爻、梅花易数、奇门遁甲、大六壬、小六壬、占星术、太乙神数、塔罗、MBTI、面相手相、合盘配对、每日/每月运势、周公解梦等。支持MCP服务和Skills

Runtime-neutral Go library for launching AI agents, installing hooks, and normalizing session events.

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Polyglot code-graph builder for kglite knowledge graphs: 14-language tree-sitter parsing, CLI, MCP server, Python wheel

Turn any MCP, OpenAPI, or GraphQL server into a CLI — at runtime, with zero codegen

This is a token optimizer. It forwards commands with heavy token consumption to an openrouter model or a local llm.

Platform-agnostic work-orchestration for AI coding agents — one pane of glass (issues, scm, ci, deploy, notify) across providers, via MCP + CLI.

Agoria: an agent-to-agent coordination hub. Named channels, per-channel shared state, an attention/obligation model, a verifiable transcript, message-driven triggering, and a git-friendly markdown mirror. Framework-agnostic (MCP + CLI + Python).

Pinakes — a portable, agent-first knowledge base. One directory = one KB.

Build UI apps with your AI assistant — together, live. An agent-native, cross-platform declarative-UI runtime in Go: describe UI as JSON, let your AI scaffold/edit/verify it over MCP, package for web/iOS/Android/desktop/mini-program.

Local agent-to-agent artifact exchange for LLM workflows via HTTP, CLI, and MCP.

Makes AI stateful across sessions. Workflow: chat → idea → design → reqs → plan → do_step(s) → done, with fresh scoped context, staleness detection, and human approval at every phase. Roadmap & history of shipped features.

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High-performance Go tools for LLM Agents (MCP/CLI). 100x faster than Python. Includes native MCP Server, token-optimized search, and persistent project memory.

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Per-project, git-backed knowledge base for AI agents. Share research, decisions, and reasoning across your team's Claude / Cursor / Codex sessions via MCP.

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scan JavaScript lockfiles to detect supply chain vulnerabilities and known exploits

🔁 Finishes your entire backlog while you sleep. The AI orchestrator that DOES the work end-to-end on ANY LLM — discover → implement → verify → merge → 24/7 — behind safety gates, at up to 90% fewer tokens. 48 extension points. Not a chatbot. A worker.