Recursively scan a directory and build a dependency graph: files, top-level symbols, import edges, an inferred call graph (with EXTRACTED/INFERRED/AMBIGUOUS confidence), community clustering, and structural analysis (hub/god nodes, import cycles, orphans). Default returns a compact summary; raw=true returns the full JSON map.

Scan a directory and export its dependency graph as either a Mermaid diagram (format='mermaid') or a D3/Obsidian-friendly nodes+edges JSON (format='json').

Fetch recent community/social signal on a topic from keyless public sources (Hacker News + comment enrichment, Reddit w/ RSS fallback, GitHub, Web, Lobsters, Bluesky, Stack Overflow, Lemmy), filtered to a trailing window. Results are relevance-reranked and deduped. Set compress=true to pipe the result through the token-reduction pipeline.

Reversible token-reduction pipeline. Accepts raw text OR a filePath. Three modes of use: (1) set targetTokens and MeshMind auto-escalates algorithms until the output fits your budget; (2) set explicit algorithms; (3) leave both for sensible defaults. Algorithms: strip, whitespace, line-dedup, json-min, truncate, stopwords, summarize. Set summarize=true for an abstractive summary via the host LLM (MCP sampling), extractive fallback. preview=true shows the per-step savings WITHOUT storing a ref. Returns compressed payload, exact BPE savings, and a ref for retrieve_context. Provide exactly one of text or filePath.

Shortcut for the common 'this file is too big to read' case: reads a local file and compresses it in one call. With targetTokens, auto-escalates the pipeline until it fits; otherwise applies the default lossless-ish pipeline. Returns the compressed payload, exact BPE savings, and a reversible ref.

Recover the original, uncompressed text for a ref returned by a prior get_optimized_context or compressed research call (reversible / CCR).

Return token-savings stats: session (this process) and lifetime (persisted across restarts under MESHMIND_HOME) — compress calls, original vs. crushed tokens, percent saved, cached refs, first/last seen.