pluck

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The MCP-native Code Retrieval Engine for AI Agents
_{84-88 % fewer tokens on code reads · 71 % shorter CI logs · 0.07 ms warm search — every number gated by benchmarks/baseline.json}

pluck is a local Rust daemon that replaces cat and grep as the default way AI agents read and search code. It exposes symbol-aware code reading and search to agents over the Model Context Protocol (MCP). Smart outlines cut eligible code-read tokens by 84-88 %, CI logs compress by 71 %, and warm search stays sub-millisecond — with a --raw fallback on every tool so the agent never loses capability by defaulting to pluck.

Without pluck:  ls → grep → cat file1 → cat file2 → cat file3 → ...
With pluck:     pluck.plan "fix auth-token expiry"  → 3-5 next-call recommendations
                pluck.search "auth flow"            → ranked chunks, BM25 + semantic
                pluck.peek validate_token           → signature + callees only
                pluck.symbol validate_token         → just that function's body
                pluck.impact validate_token         → every caller, depth-capped
                pluck.deps src/auth/login.ts        → forward/reverse import graph
                pluck.digest < cargo-build.log      → 71 % shorter, errors intact

Quickstart

Pluck is designed to be the default retrieval tool for your AI coding agents.

1. Paste the Agent Setup Prompt

Install and configure pluck for this repo.

Install / register:
- If pluck is missing, install pluck-mcp and pluck-cli with Cargo or Homebrew.
- Register pluckd as an MCP server named `pluck` for this repository.
- Prefer project-scoped config when the agent supports it.
- Preserve existing MCP servers, rules, hooks, permissions, and comments.

To make pluck the first retrieval choice:
- Use the strongest official mechanism this agent supports.
- Claude Code: use project MCP config or
  `claude mcp add --transport stdio --scope project pluck -- pluckd --repo <repo-root>`;
  approve the `pluck` MCP server in settings/permissions when needed; add
  durable instructions in `CLAUDE.md`; use PreToolUse hooks or permission
  deny rules only when they can safely redirect repo-local cat/grep/rg/read
  retrieval to mcp__pluck__* tools.
- Codex: use `codex mcp add pluck -- pluckd --repo <repo-root>` or
  `~/.codex/config.toml` / trusted project `.codex/config.toml`; add the
  pluck-first retrieval policy to `AGENTS.md`.
- Cursor: use project `.cursor/mcp.json`; add an always-applied Project Rule
  in `.cursor/rules/` or an `AGENTS.md` instruction for the workspace.

Pluck-first retrieval policy:
- Use mcp__pluck__read before cat, head, tail, sed -n, or built-in file reads
  for files inside the indexed repo.
- Use mcp__pluck__search for conceptual code lookup.
- Use mcp__pluck__grep before grep or rg for exact strings, regexes, TODOs,
  and all textual matches inside the repo.
- Use mcp__pluck__peek, mcp__pluck__symbol, mcp__pluck__expand,
  mcp__pluck__impact, and mcp__pluck__deps for symbol shape, bodies, call
  chains, refactor impact, and import relationships.
- Use mcp__pluck__digest before pasting long cargo, npm, pytest, or GitHub
  Actions logs into context.
- Fall back to Bash or built-in reads only for binary files, paths outside the
  repo, byte-exact shell pipelines, unsupported formats, or when pluck is
  unavailable.

Verify:
- Restart or reload the agent if MCP changes require it.
- Confirm the `pluck` MCP server is connected and mcp__pluck__* tools exist.
- Run one repo code-search/read task and confirm the agent calls mcp__pluck__*
  before Bash, grep/rg, cat, or built-in file reads.
- Show the files changed and the verification result.

For an expanded version with safety checks and fallback instructions, use the
full agent install prompt.

2. Or set it up manually

# Daemon + standalone CLI from crates.io
cargo install pluck-mcp pluck-cli

# Or via Homebrew tap
brew tap hunhee98/pluck && brew install pluck

Claude Code

pluck init --target claude --mode aggressive  # MCP + permissions + Bash retrieval block

(Alternatively, you can manually enable it via /plugin marketplace add hunhee98/pluck)

Codex

pluck init --target codex --mode strong  # MCP + AGENTS.md pluck-first policy

Cursor

pluck init --target cursor --mode strong  # MCP + always-apply Cursor rule

Why pluck?

When AI agents use standard cat and grep to explore a codebase, they waste massive amounts of context window tokens. Re-reading the same file chunk, scrolling past unrelated functions, and re-paying tokens for identical imports on every read adds up to thousands of wasted tokens per session.

pluck solves this by providing an agent-facing layer for code search. Its core principle: every retrieval call an agent makes should default to pluck. Bash is only the fallback when pluck legitimately can't help (e.g., binary files, paths outside the repo).

• Smart Outline (pluck.read): Instead of dumping a 1,000-line file, it returns a token-efficient outline of signatures with tiny helper bodies inline. The agent can then fetch only the larger function bodies it needs.
• Session Dedup: If an agent searches for "auth" and later searches for "token", any overlapping code chunks are replaced with a 1-token placeholder ([already-shown: ...]). The bytes are already in the agent's context; repeating them is pure waste.
• Lossless Default: Stripping comments or dropping types hurts the agent's decision-making. pluck keeps the original bytes intact and makes lossy modes strictly opt-in.
• 100% Capability Guarantee: Every pluck tool has a --raw fallback that behaves exactly like cat or grep byte-for-byte.

How it works

pluck chunks files at the Abstract Syntax Tree (AST) level using Tree-sitter. When an agent queries, pluck ranks these chunks using a hybrid of keyword matching (BM25F over symbol/signature/content) and semantic similarity (a static model2vec-style lookup, potion-code-16M, ~60 MB on disk — no transformer inference at runtime). Search expands natural-language BM25 queries with embedding-nearest terms from the indexed repo, then runs a two-stage cascade: BM25F first widens the candidate pool, embeddings rerank that pool, and a smaller semantic-rescue pass catches concept queries with weak lexical overlap. The RRF blend is picked continuously from the query embedding against natural-language and code centroids, so agents can search by concept ("payment flow") without losing precision on exact symbols.

Session dedup in action

MCP Tools

Agents call specific tools depending on what they need. Bash is the fallback, not the default.

Standalone CLI (no agent)

You can also use pluck directly in your terminal:

pluck index .
pluck search "auth flow" --repo .
pluck read src/auth/login.ts        # smart outline
pluck read src/auth/login.ts --raw  # byte-equivalent cat

Performance & Token Savings

Every number on this page cites a frozen baseline row or a measured scenario. No projected / aspirational percentages.

Gated engine metrics

These are the invariants in benchmarks/baseline.json. Every commit that touches engine-core runs scripts/regression-gate.py and the gate fails the build if any of them drift past tolerance.

Eligible read-token savings

pluck.read outline mode is where pluck stops agents from paying the cat tax: instead of dumping every line, it returns the file's symbol map, inlines tiny helper bodies, and lets the agent fetch larger bodies on demand.

Tiny files and raw reads are control cases: they are expected to show little or no savings because byte-exact fallback is the point.

Measured single-scenario token reduction

fix-auth-token-expiry: same JIRA-style task, bash workflow (rg -l + several cats) vs pluck workflow (search + read + symbol). Both runners arrive at the same fix:

Broader LLM-in-the-loop measurements across fix / refactor / explore / search / review scenarios are roadmapped as v0.8.0 work. We'll publish those numbers when they exist, not before.

Feature Comparison

Roadmap

Versioning details live in docs/VERSIONING.md.
Maintainer release flow lives in
docs/MAINTAINER_LOOP.md.

• v0.2.0 — shipped: First crates.io publish, MCP tools, session dedup,
  smart outline, and expanded surface — digest, impact, deps, plan.
• v0.3.0 — shipped: Natural-language recall — 100-query suite across
  tokio / django / next.js, query expansion, two-stage cascade, continuous
  hybrid weighting, NDCG@10 measurement, and symbol/path component ranking.
• v0.4.0 — active train: Java + repo-format coverage — Java, HTML,
  prompt-first agent install, TSX grammar fixes, CSS/SCSS, Markdown/MDX,
  YAML/JSON/TOML, Dockerfile, and Shell landed; fixtures/gate hardening remain.
• v0.5.0: Systems + JVM tier — C, C++, Kotlin, SQL, Terraform/HCL.
• v0.6.0: App-framework tier — Ruby, PHP, Swift, Vue, Svelte, Astro,
  OpenAPI / GraphQL.
• v0.7.0: Scale + persistence — mmap index, schema versioning,
  incremental embedding re-encode, memory/disk caps.
• v0.8.0: Adoption + observability — adoption counter, tool-description
  A/B harness, LLM-in-loop bench, multilingual tool descriptions.
• v0.9.0: Workflow intelligence + ecosystem — JSON output, diff,
  history, profile, Aider / OpenHands / Cursor / Cline / Continue.
• v1.0.0: Stable default retrieval layer — stable MCP/CLI contracts,
  benchmark dashboard, release checklist, config migration, supply-chain review.

License

MIT - See LICENSE for details.