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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.

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.

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.

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.

LSP-backed semantic code retrieval, editing and refactoring — the IDE for your coding agent. Connects over MCP via stdio or Streamable HTTP.

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.

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.

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.

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.

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.

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).

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.

Builds a queryable knowledge graph plus vector store from your data (ECL / GraphRAG pipeline). Ships an MCP server with local default databases, but needs an LLM API key to process, so it is listed rather than auto-installed.

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.

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.

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.

Structured step-by-step reasoning tool — the official MCP reference server for breaking a hard problem into revisable thoughts.

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.

Official MCP reference server that exercises every protocol feature — install it to verify your lean-ctx gateway can discover and call downstream tools.