Skip to main content
Glama
Justar96

Memory Pickle MCP

by Justar96

codesmell

Local CLI that turns a coding goal into ranked, token-budgeted repository context for AI agents.

agent → shell → codesmell JSON → agent reasoning

No daemon. No MCP. No network. Reads the local checkout, writes .codesmell/ cache, exits.

Usage

codesmell pack --root . --goal "fix refresh token bug" --budget 12000 --format json

All commands support --format json (agent contract) or plain terminal output (omit the flag).

Command

Purpose

init

Bootstrap .codesmell/ config and cache

doctor

Check local readiness

map

Repo structure, languages, public symbols

search

Ranked evidence for a query

pack

Budgeted context pack for a coding goal

explain

Deep-dive a file or symbol

diff

Changed files, symbols, risk hints

test-plan

Focused test suggestions

review

Deterministic findings with evidence

Related MCP server: Sprintra

Agent Contract

--format json emits exactly one JSON object on stdout (schema_version: "codesmell.agent.v1"). Diagnostics go to stderr.

Key fields: status, confidence, budget, coverage, guidance, evidence, findings, risks, test_hints, redactions, recommended_next.

Status values:

  • ok — actionable evidence, proceed.

  • partial — evidence with caveats; run a follow-up before broad edits.

  • needs_refinement — goal too broad; narrow via recommended_next.

  • error — no evidence; check warnings.

Secrets are redacted before output. Only counts and kinds are reported — never raw values.

Architecture

crates/
  codesmell-cli      clap commands, JSON/human output
  codesmell-core     domain types, config, errors
  codesmell-facts    language-neutral fact model, AST cache schema
  codesmell-engine   shared workspace analysis orchestration
  codesmell-scan     gitignore-aware walking, classification, fingerprints
  codesmell-parse    tree-sitter parsing, symbol/import extraction
  codesmell-index    lexical ranking, BM25-style scoring
  codesmell-pack     context budgeting, redaction, evidence selection
  codesmell-review   diff analysis, findings, test-plan

Rust is the only tree-sitter-parsed language today. Other languages are scanned and ranked lexically.

Development

cargo build --workspace
cargo test
cargo fmt --check
cargo clippy --all-targets -- -D warnings

Run locally:

cargo run -p codesmell-cli -- pack --root . --goal "fix bug" --budget 12000 --format json

Test fixture: tests/fixtures/rust-basic. Integration tests synthesize ignored files, secrets, staged changes, renames, and mixed-language scenarios in temp repos.

Large-repo smoke (optional, ignored by default):

scripts/clone-bun-test-repo.sh
cargo test -p codesmell-cli core_commands_smoke_run_on_ignored_bun_test_repo -- --ignored

Docs

Design and roadmap details live in docs/:

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.

  • The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.

  • Universal memory for AI agents and tools. Save, organize and search context anywhere.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Justar96/codesmell-cli'

If you have feedback or need assistance with the MCP directory API, please join our Discord server