{
  "$schema": "https://leanctx.dev/schema/addon-registry-v1.json",
  "registry_version": 1,
  "addons": [
    {
      "addon": {
        "name": "claude-context",
        "display_name": "Claude Context",
        "version": "",
        "description": "Semantic code search over an entire codebase (hybrid BM25 + dense vectors) via @zilliz/claude-context-mcp. Needs a Milvus/Zilliz vector database and an embedding API key to run, so it is listed rather than auto-installed.",
        "author": "zilliztech",
        "homepage": "https://github.com/zilliztech/claude-context",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "none",
        "keywords": [
          "semantic-search",
          "codebase",
          "embeddings",
          "retrieval",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "codebase-intelligence",
        "display_name": "Codebase Intelligence",
        "version": "",
        "description": "Parses your whole repo with Tree-sitter into a semantic graph of symbols, references and dependencies — symbol search, call graphs and impact analysis. 18 tools, 8 languages, zero infrastructure or keys. Runs on add via npx.",
        "author": "g-tiwari",
        "homepage": "https://github.com/g-tiwari/mcp-codebase-intelligence",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "code-graph",
        "keywords": [
          "call-graph",
          "symbols",
          "references",
          "tree-sitter",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "mcp-codebase-intelligence@0.3.0"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "codecompress",
        "display_name": "CodeCompress",
        "version": "",
        "description": "Local code-intelligence index that gives agents surgical access to symbols — project outline, get/expand symbol, hot-path and references — backed by a SQLite index. Installs on add (.NET global tool) and wires its MCP server.",
        "author": "MCrank",
        "homepage": "https://github.com/MCrank/code-compress",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "code-symbols",
        "keywords": [
          "symbols",
          "index",
          "outline",
          "references",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "codecompress-server",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      },
      "install": {
        "manager": "dotnet",
        "package": "CodeCompress.Server",
        "version": "0.15.0",
        "bin": "codecompress-server",
        "verify": []
      }
    },
    {
      "addon": {
        "name": "cognee",
        "display_name": "Cognee",
        "version": "",
        "description": "Builds a queryable knowledge graph plus vector store from your data (ECL / GraphRAG pipeline). Installs on add (uv tool install) and runs fully local by default (SQLite + LanceDB + Kuzu); set LLM_API_KEY so it can process. Wires its MCP server (cognee-mcp) into the lean-ctx gateway.",
        "author": "topoteretes",
        "homepage": "https://github.com/topoteretes/cognee",
        "license": "Apache-2.0",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "knowledge-graph",
          "graphrag",
          "recall",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "cognee-mcp",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [
          "LLM_API_KEY"
        ],
        "exec": "none"
      },
      "install": {
        "manager": "uv",
        "package": "cognee-mcp",
        "version": "0.5.4",
        "bin": "cognee-mcp",
        "verify": []
      }
    },
    {
      "addon": {
        "name": "context-mem",
        "display_name": "Context-Mem",
        "version": "",
        "description": "Local long-term memory and context compression for coding agents — a markdown vault with hybrid BM25 + vector search and progressive disclosure, no API key required. Installs on add (npm) and wires its MCP server (context-mem serve).",
        "author": "JubaKitiashvili",
        "homepage": "https://github.com/jubakitiashvili/context-mem",
        "license": "MIT",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "compression",
          "local",
          "recall",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "context-mem",
        "args": [
          "serve"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      },
      "install": {
        "manager": "npm",
        "package": "context-mem",
        "version": "4.0.0",
        "bin": "context-mem",
        "verify": []
      }
    },
    {
      "addon": {
        "name": "everything",
        "display_name": "Everything (MCP smoke-test)",
        "version": "",
        "description": "Official MCP reference server that exercises every protocol feature — install it to verify your lean-ctx gateway can discover and call downstream tools.",
        "author": "modelcontextprotocol",
        "homepage": "https://github.com/modelcontextprotocol/servers/tree/main/src/everything",
        "license": "MIT",
        "categories": [
          "testing"
        ],
        "integration": "none",
        "keywords": [
          "test",
          "reference",
          "diagnostics",
          "gateway"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "@modelcontextprotocol/server-everything@2026.1.26"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "graphify",
        "display_name": "Graphify",
        "version": "",
        "description": "Turns code, docs, schemas and more into one queryable knowledge graph for agents. Ships an MCP server (stdio + HTTP), but serving needs a graph built by `graphify extract` (an LLM-backed step), so it is listed rather than auto-installed.",
        "author": "safishamsi",
        "homepage": "https://github.com/safishamsi/graphify",
        "license": "MIT",
        "categories": [
          "code-intelligence",
          "memory"
        ],
        "integration": "code-graph",
        "keywords": [
          "knowledge-graph",
          "code",
          "graphrag",
          "ast",
          "memory",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "graphiti",
        "display_name": "Graphiti (Zep)",
        "version": "",
        "description": "Temporal knowledge-graph memory for agents — a bi-temporal entity/edge graph with hybrid semantic, keyword and graph search. Ships an MCP server, but needs a Neo4j/FalkorDB backend and an LLM API key, so it is listed rather than auto-installed.",
        "author": "getzep",
        "homepage": "https://github.com/getzep/graphiti",
        "license": "Apache-2.0",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "knowledge-graph",
          "temporal",
          "graphrag",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "headroom",
        "display_name": "Headroom",
        "version": "",
        "description": "Reversible context compression for tool outputs, logs, files and RAG chunks — 60–95% fewer tokens, originals retrievable on demand. Installs on add (uv tool install) and wires its MCP server (headroom mcp serve) into the lean-ctx gateway.",
        "author": "chopratejas",
        "homepage": "https://github.com/chopratejas/headroom",
        "license": "Apache-2.0",
        "categories": [
          "compression"
        ],
        "integration": "compression",
        "keywords": [
          "compression",
          "tokens",
          "rag",
          "reversible",
          "ccr",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "headroom",
        "args": [
          "mcp",
          "serve"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      },
      "install": {
        "manager": "uv",
        "package": "headroom-ai[mcp]",
        "version": "0.28.0",
        "bin": "headroom",
        "verify": []
      }
    },
    {
      "addon": {
        "name": "lean-md",
        "display_name": "Lean-MarkDown (LMD)",
        "version": "0.2.0",
        "description": "Directive-driven Markdown for agent plans. Reusable macros, phase-isolation and single-sourcing keep plans token-lean and cache-safe — written hard against lean-ctx, inspired by MarkdownAI.",
        "author": "dasTholo",
        "homepage": "https://github.com/dasTholo/lean-md",
        "license": "Apache-2.0",
        "categories": [
          "plans",
          "workflow"
        ],
        "integration": "none",
        "keywords": [
          "markdown",
          "plans",
          "macros",
          "directives",
          "phase-isolation",
          "subagents"
        ],
        "min_lean_ctx": "3.9.6",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "letta",
        "display_name": "Letta (MemGPT)",
        "version": "",
        "description": "Stateful agent runtime that manages its own memory like an operating system (core + archival tiers). Exposes MCP-compatible tools, but needs a running server + database, so it is listed rather than auto-installed.",
        "author": "letta-ai",
        "homepage": "https://github.com/letta-ai/letta",
        "license": "Apache-2.0",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "agent-runtime",
          "stateful",
          "memgpt",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "mcp-code-context",
        "display_name": "MCP Code Context",
        "version": "",
        "description": "Compresses any codebase into LLM-ready semantic context with Tree-sitter WASM (TypeScript, JavaScript, Python, PHP, Dart) — symbol-level reads and AST-aware edits. Runs on add via npx; no install or native build needed.",
        "author": "achatainga",
        "homepage": "https://github.com/achatainga/mcp-code-context",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "code-symbols",
        "keywords": [
          "ast",
          "tree-sitter",
          "symbols",
          "codebase",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "mcp-code-context@3.7.1"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "mem0",
        "display_name": "Mem0",
        "version": "",
        "description": "Drop-in long-term memory for agents (vector + graph + key-value). Provides an official MCP server, but needs an API key/backend to run, so it is listed rather than auto-installed.",
        "author": "mem0ai",
        "homepage": "https://github.com/mem0ai/mem0",
        "license": "Apache-2.0",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "personalization",
          "recall",
          "vector",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "memgraph-ingester",
        "display_name": "Memgraph Ingester",
        "version": "",
        "description": "Structure-aware RAG for 150+ languages: the memgraph-ingester CLI parses a codebase into a Memgraph code graph with project memory; this addon wires its MCP server (uvx memgraph-ingester-mcp) into the lean-ctx gateway for high-level graph queries. Needs a running Memgraph instance (e.g. Docker) plus a graph built with the ingester CLI — set MEMGRAPH_INGESTER_MCP_BOLT_URI to your Bolt endpoint.",
        "author": "ousatov-ua",
        "homepage": "https://github.com/ousatov-ua/memgraph-ingester",
        "license": "MIT",
        "categories": [
          "code-intelligence",
          "memory"
        ],
        "integration": "code-graph",
        "keywords": [
          "knowledge-graph",
          "rag",
          "memgraph",
          "ast",
          "memory",
          "community",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "uvx",
        "args": [
          "--from",
          "memgraph-ingester-mcp==0.6.6",
          "memgraph-ingester-mcp"
        ],
        "env": {
          "MEMGRAPH_INGESTER_MCP_BOLT_URI": "bolt://localhost:7687"
        },
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [
          "MEMGRAPH_INGESTER_MCP_BOLT_URI",
          "MEMGRAPH_INGESTER_MCP_READ_ONLY"
        ],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "qmd",
        "display_name": "QMD (Query Markup Documents)",
        "version": "",
        "description": "On-device search engine for markdown notes, meeting transcripts, docs and knowledge bases — BM25 + vector search + LLM re-ranking, fully local via node-llama-cpp GGUF models. Register folders as collections (qmd collection add), then agents search them through its MCP server (qmd mcp) wired into the lean-ctx gateway.",
        "author": "tobi",
        "homepage": "https://github.com/tobi/qmd",
        "license": "MIT",
        "categories": [
          "search",
          "memory"
        ],
        "integration": "none",
        "keywords": [
          "markdown",
          "notes",
          "semantic-search",
          "bm25",
          "local",
          "community",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "@tobilu/qmd@2.5.3",
          "mcp"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "repomix",
        "display_name": "Repomix",
        "version": "",
        "description": "Packs a whole repository into a single AI-ready file. Its MCP server (npx repomix --mcp) lets agents pack local or remote repos and grep the output on demand.",
        "author": "yamadashy",
        "homepage": "https://repomix.com",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "codebase-pack",
        "keywords": [
          "codebase",
          "packing",
          "context",
          "repo",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "repomix@1.16.0",
          "--mcp"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "rtk",
        "display_name": "RTK (Rust Token Killer)",
        "version": "",
        "description": "Single-binary CLI proxy that filters and compresses shell command output by 60–90%. Reaches MCP clients through the community rtk-mcp bridge (built from source), so the lean-ctx gateway can run commands through it.",
        "author": "rtk-ai",
        "homepage": "https://github.com/rtk-ai/rtk",
        "license": "",
        "categories": [
          "compression"
        ],
        "integration": "compression",
        "keywords": [
          "compression",
          "shell",
          "cli",
          "tokens",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    },
    {
      "addon": {
        "name": "sequential-thinking",
        "display_name": "Sequential Thinking",
        "version": "",
        "description": "Structured step-by-step reasoning tool — the official MCP reference server for breaking a hard problem into revisable thoughts.",
        "author": "modelcontextprotocol",
        "homepage": "https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking",
        "license": "MIT",
        "categories": [
          "reasoning",
          "workflow"
        ],
        "integration": "none",
        "keywords": [
          "thinking",
          "reasoning",
          "planning",
          "chain-of-thought"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "npx",
        "args": [
          "-y",
          "@modelcontextprotocol/server-sequential-thinking@2025.12.18"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "serena",
        "display_name": "Serena",
        "version": "",
        "description": "LSP-backed semantic code retrieval, editing and refactoring — the IDE for your coding agent. Connects over MCP via stdio or Streamable HTTP.",
        "author": "oraios",
        "homepage": "https://github.com/oraios/serena",
        "license": "MIT",
        "categories": [
          "code-intelligence"
        ],
        "integration": "code-symbols",
        "keywords": [
          "lsp",
          "symbols",
          "refactor",
          "navigation",
          "semantic",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "uvx",
        "args": [
          "--from",
          "serena-agent==1.5.3",
          "serena",
          "start-mcp-server",
          "--context",
          "ide"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      }
    },
    {
      "addon": {
        "name": "sophon",
        "display_name": "Sophon",
        "version": "",
        "description": "Deterministic context compressor for MCP agents — shrinks prompts, conversation history, code digests, file deltas and shell output with zero ML at query time. Single Rust binary; installs on add (npm) and wires its MCP server (sophon serve) into the lean-ctx gateway.",
        "author": "lacausecrypto",
        "homepage": "https://github.com/lacausecrypto/mcp-sophon",
        "license": "MIT",
        "categories": [
          "compression"
        ],
        "integration": "compression",
        "keywords": [
          "compression",
          "deterministic",
          "rust",
          "tokens",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "sophon",
        "args": [
          "serve"
        ],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      },
      "capabilities": {
        "network": "full",
        "filesystem": "read_write",
        "env": [],
        "exec": "none"
      },
      "install": {
        "manager": "npm",
        "package": "mcp-sophon",
        "version": "0.5.4",
        "bin": "sophon",
        "verify": []
      }
    },
    {
      "addon": {
        "name": "zep",
        "display_name": "Zep",
        "version": "",
        "description": "Memory platform for AI agents — persistent threads, a knowledge graph and semantic recall via a managed cloud or self-hosted Community Edition. Reaches agents over MCP, but needs an account/API key, so it is listed rather than auto-installed.",
        "author": "getzep",
        "homepage": "https://github.com/getzep/zep",
        "license": "Apache-2.0",
        "categories": [
          "memory"
        ],
        "integration": "memory",
        "keywords": [
          "memory",
          "recall",
          "knowledge-graph",
          "cloud",
          "competitor",
          "mcp"
        ],
        "min_lean_ctx": "3.8.0",
        "verified": false
      },
      "mcp": {
        "transport": "stdio",
        "command": "",
        "args": [],
        "env": {},
        "sha256": "",
        "url": "",
        "headers": {}
      }
    }
  ]
}