conventions-mcp

Personal memory for durable coding conventions and standing instructions — one store, any MCP-compatible AI client, available in every project. It holds rules like "always use 2-space indent in this language," "never force-push to main," lasting corrections, and long-lived workflow preferences that should carry across future sessions rather than get re-explained every time. It is deliberately not a history of individual jobs or a place for task-specific directions, temporary decisions, current status, or one-off commands.

Why this one

There's no shortage of memory MCP servers — several well-established ones (mem0/OpenMemory, Zep/Graphiti, the official reference memory server, plus a long tail of smaller projects) already do "remember things across sessions." What's different here:

• Narrow taxonomy, not a general note-taking store. Every capture must be a durable rule for future work and gets classified into one of five purpose-built types — convention, instruction, correction, preference, other — plus a project field and topic tags. Task-specific procedures and work history are excluded so retrieval stays precise instead of noisy.
• Deterministic retrieval, not best-effort. Most memory MCPs rely entirely on the calling model noticing a tool description is relevant and deciding to call it — which fails silently and inconsistently. Codex and Claude Code hooks force the agent to call list_rules: SessionStart supplies the instruction, while PreToolUse denies every other tool until the call has happened.
• Transparent by default, not silent. Every capture and update echoes the verbatim stored content and whether it's global or project-scoped back immediately, so a misheard or misclassified rule is visible and correctable on the spot — not something you discover three sessions later via search.
• Fully local at runtime. SQLite + local embeddings, no hosted service, no per-token costs, no API key. The embedding model is downloaded once on first use (or explicitly with conventions-mcp warmup) and then runs locally. Classification (type/topics/projectScoped) is done by the calling agent at capture time, guided by the tool description — it already has the full conversation the thought came from, richer context than an isolated content string would give a separate extractor model.
• Project-scoped without fuzzy matching. A rule can be global (the default) or tied to one specific codebase. Stdio clients derive the project from their working directory; HTTP clients provide an MCP root or an X-Conventions-Project header. The project identifier is never guessed by an LLM from free text.

If what you want is a general-purpose "remember everything" store, or you're not on Claude Code and don't need the hook-driven determinism, one of the more general options above may fit better. This one is for someone who specifically wants a tight, coding-convention-focused memory that stays accurate and doesn't require trusting the model to remember to check it.

What it's tuned to store

Every capture is classified into one of five types by the calling agent, guided by capture_thought's tool description (src/server.js):

Each thought also gets 1–3 topic tags for filtering. This is deliberately narrow — it's not a general note-taking store — but the taxonomy isn't hardcoded logic, it's just the wording of the tool description and its zod schema in src/server.js. Retuning what counts as a convention vs. an instruction, or adding a new type, is a matter of editing that description text, not restructuring the code. The one wrinkle: the five type names are also referenced in the type filter's enum in list_thoughts (src/server.js) — if you rename or add a type, update that enum too or the new type will get rejected as a filter value. Everything's stored as a JSON blob column, so none of this needs a schema migration.

Every thought gets a project field: null applies everywhere; otherwise it is the normalized absolute path prefixed by path:. Separators are preserved, so /work/a-b and /work/a/b identify different projects. The calling agent only decides whether a rule is project-scoped. Existing hyphen-based IDs require the explicit, backup-first project migration in upgrading.md.

• Storage: SQLite (better-sqlite3) + sqlite-vec for native vector search, FTS5 for keyword search, combined via reciprocal rank fusion. One file, no server, no daemon.
• Embeddings: local, via Xenova/bge-small-en-v1.5 (384-dim, quantized, ~130MB). Downloads once to ~/.conventions-mcp/models, loads lazily, and needs no GPU.
• Classification: done by the calling agent (Claude Code, or any MCP client) at capture time, guided by the tool description — no network call, no external model, no API key.
• Transport: MCP over stdio by default, with an optional localhost-only Streamable HTTP mode for running it as a persistent service.
• Proactive retrieval: Codex and Claude Code hooks (see below) load or enforce standing rules at every context boundary — no project instruction file to keep in sync, no dependence on the model happening to notice a tool description is relevant.
• Scoped retrieval: list_rules and semantic search return global rules plus the current project's rules; project-specific rules from other codebases stay out of normal retrieval. list_thoughts remains the explicit all-records management view.

Setup

Installing with an AI coding agent? Give it this repository and ask it to follow the canonical installation and client-integration runbook. The runbook requires path discovery, config merging rather than overwriting, a real capture/list/delete acceptance test, and cleanup of the test record.

Two ways to get this: a git checkout (if you want to read/modify the source) or the npm package (if you just want it running).

Git checkout:

npm install
npm run init-db        # creates data/memory.db

npm package:

npm install -g conventions-mcp --onnxruntime-node-install-cuda=skip
conventions-mcp init-db    # creates ~/.conventions-mcp/memory.db
conventions-mcp warmup     # downloads and verifies the embedding model

No API key or external service is required. Optional database, model-cache, transport, and timeout settings are listed in .env.example.

Use conventions-mcp --help to inspect the installed commands and conventions-mcp --version to confirm which release is on PATH. See SECURITY.md for the local trust model and private reporting instructions. Run conventions-mcp doctor for a non-downloading runtime, database, permission, vector-extension, and model-cache readiness report. Legacy databases without format metadata require the backup-first conventions-mcp migrate-storage <absolute-backup-path> command; declared incompatible formats are rejected rather than guessed.

Persistent local service

Use Streamable HTTP when the MCP client should connect to one boot-managed server instead of launching a stdio child for every session:

MCP_TRANSPORT=http MCP_HTTP_HOST=127.0.0.1 MCP_HTTP_PORT=47123 conventions-mcp

Run that command under the operating system's service manager and configure the MCP client with http://127.0.0.1:47123/mcp. See docs/shared-service.md for complete systemd, launchd, and Windows setup and verification instructions. The server rejects non-local host headers when bound to localhost. MCP_HTTP_HOST defaults to 127.0.0.1 and MCP_HTTP_PORT defaults to 47123. The service exposes GET /healthz for loopback readiness checks and bounds retained sessions with MCP_HTTP_MAX_SESSIONS (default 100) and MCP_HTTP_SESSION_IDLE_MS (default 30 minutes).

HTTP clients that support MCP roots need no additional project configuration. For clients that do not, set X-Conventions-Project to the absolute project path in project-local MCP configuration. An HTTP session without either value receives global rules only and cannot create a project-scoped capture, which prevents one project's rules from leaking into another project.

Codex can supply the active workspace to a shared HTTP server dynamically:

[mcp_servers.conventions]
url = "http://127.0.0.1:47123/mcp"
http_headers_helper = "conventions-mcp codex-project-header"

Codex runs the helper in the active workspace. The server normalizes that absolute path and prefixes it with path: for its project identifier.

Register with Claude Code

Register at user scope so it's available in every project, not just one repo — use the claude mcp add CLI, not a hand-edited config file:

# Git checkout — an absolute path, since Claude Code may spawn this from an
# arbitrary working directory:
claude mcp add --scope user conventions -- node /absolute/path/to/conventions-mcp/src/server.js

# npm package — already on PATH:
claude mcp add --scope user conventions -- conventions-mcp

Either way, this writes to ~/.claude.json's mcpServers key, which is what the CLI actually reads; a mcpServers entry placed directly in ~/.claude/settings.json is silently inert. Verify with claude mcp list. A new Claude Code session is required to pick up a newly-registered server.

Codex standing-rule hook