mcp-recall

mcp
Guvenlik Denetimi
Basarisiz
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Basarisiz
  • network request — Outbound network request in demo/bench.ts
  • rm -rf — Recursive force deletion command in package.json
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This MCP server intercepts large tool outputs, compresses them into small summaries, and stores the full data in a local SQLite database for later retrieval. It is designed to extend context window limits during heavy AI workloads.

Security Assessment
Overall risk: Medium. The tool is designed to process and store MCP tool outputs locally via SQLite, which can include sensitive information like code snapshots or API responses. While there are no hardcoded secrets or dangerous permission requests, the automated scan flagged a recursive force deletion command (`rm -rf`) inside the `package.json` file, which is a potential hazard. Additionally, an outbound network request was detected in a demonstration/benchmark file. Users should inspect the package scripts to ensure the deletion command is safely scoped to local caches rather than critical system directories.

Quality Assessment
The project is actively maintained, with its most recent push happening today. It uses strict TypeScript, has a continuous integration pipeline, and is safely covered by the permissive MIT license. However, community trust and visibility are currently very low. With only 7 GitHub stars, the tool has not yet been widely peer-reviewed or battle-tested by a large user base.

Verdict
Use with caution — the utility is actively maintained and functions as intended, but low community adoption and an unsafe deletion command in the configuration warrant a manual code review before integrating it into sensitive environments.
SUMMARY

mcp-recall compresses MCP tool outputs (94 KB → 3.5 KB · 96%) and stores full results in SQLite for retrieval — up to 30x more tool calls per session for heavy MCP workloads.

README.md

mcp-recall

CI
npm
npm downloads
License: MIT
Runtime: Bun
TypeScript
Claude Code Plugin
PRs Welcome

Your context window is finite. MCP tool outputs aren't. mcp-recall bridges the gap.

MCP tool outputs — Playwright snapshots, GitHub issues, file reads — can consume tens of kilobytes of context per call. A 200K token context window fills up in ~30 minutes of active MCP use. mcp-recall intercepts those outputs, stores them in full locally, and delivers compressed summaries to Claude instead. When Claude needs more detail, it retrieves exactly what it needs via FTS search — without re-running the tool.

Sessions that used to hit context limits in 30 minutes routinely run for 3+ hours.

mcp-recall demo


The full context stack

Context pressure builds at four distinct layers. mcp-recall targets the two that nothing else handles.

flowchart TD
    A(["Claude session begins"]) --> B

    B["① Tool definitions loaded into context\n~500 tokens × every connected tool"]
    B -->|"Claude Code Tool Search · Switchboard\ndefer unused schemas"| C

    C["② Claude calls tools in sequence"]
    C -->|"Code Mode · FastMCP 3.1\nrun script in sandbox, no intermediate results"| D

    D["③ Tool returns large output\n50–85 KB per call"]
    D -->|"mcp-recall\ncompresses to ~300 B, stores in SQLite"| E

    E["④ Session ends"]
    E -->|"mcp-recall\npersists across sessions via FTS index"| F(["Next session: clean context"])
Layer Problem Solution
① Tool definitions Every connected MCP loads its full schema upfront (~500 tokens/tool) Claude Code Tool Search (built-in) · Switchboard
② Intermediate results Multi-step workflows pass each result back through context Code Mode · FastMCP 3.1
③ Single-tool outputs One snapshot or API response dumps 50–85 KB mcp-recall
④ Cross-session memory Useful context disappears when the session ends mcp-recall

Layers ① and ② have solid first-party and community solutions. mcp-recall focuses on ③ and ④ — the outputs that do land in context, and the knowledge that shouldn't vanish when the session ends. All four layers stack: run them together for maximum efficiency.


How it works

flowchart LR
    A["MCP tool output\n(e.g. 56 KB snapshot)"] -->|"PostToolUse hook"| B(["mcp-recall"])
    B -->|"~300 B summary"| C["Claude's context"]
    B -->|"full content + FTS index"| D[("SQLite")]
    D <-->|"recall__retrieve · recall__search"| C
Detailed pipeline
flowchart TD
    A["MCP tool response<br/>(e.g. 56 KB snapshot)"] --> B[PostToolUse hook]

    subgraph SEC["Security checks"]
        DENY[denylist match?]
        SCRT[secret detected?]
    end

    B --> DENY
    DENY -- yes --> P1([skip: passes through unchanged])
    DENY -- no --> SCRT
    SCRT -- yes --> P2([skip + warn: passes through unchanged])
    SCRT -- no --> DEDUP_N

    subgraph DEDUP["Dedup check"]
        DEDUP_N["sha256(name+input)"]
    end

    DEDUP_N -- "cache hit" --> CACHED(["[cached] header"])
    DEDUP_N -- miss --> HAND_N

    subgraph HANDLER["Compression handler (TOML profile first)"]
        HAND_N["Playwright · GitHub · GitLab · Shell<br/>Linear · Slack · Tavily · Database<br/>Sentry · Filesystem · CSV · JSON · Text"]
    end

    HAND_N --> CTX["Context<br/>299 B summary + recall header"]
    HAND_N --> DB_N

    subgraph DB["SQLite store"]
        DB_N["full content (56 KB) · summary (299 B)<br/>FTS index · access tracking · session days"]
    end

    DB_N --> TOOLS["recall__* tools<br/>retrieve · search · pin · note<br/>stats · session_summary · list · forget · export · context"]

Two hooks, one MCP server.

  • SessionStart hook — records each active day, prunes expired items, and injects a compact context snapshot before the first message
  • PostToolUse hook — intercepts MCP tool outputs and native Bash commands; deduplicates identical calls; compresses, stores, and returns summary
  • recall MCP server — exposes ten tools for retrieval, search, memory, and management

Scope: Compression applies to MCP tools and the native Bash built-in. The remaining built-ins (Read, Grep, Glob) pass through unchanged. See Scope for details.


Results

Real numbers from actual tool calls:

Tool Original Delivered Reduction
mcp__playwright__snapshot 56.2 KB 299 B 99.5%
mcp__github__list_issues (20 items) 59.1 KB 1.1 KB 98.1%
mcp__filesystem__read_file (large file) 85.0 KB 2.2 KB 97.4%
Analytics CSV (500 rows) 85.0 KB 222 B 99.7%

Across a full session: 315 KB of tool output → 5.4 KB delivered to context.


Install

Quickstart guide — get up and running in 2 minutes.

Prerequisites

  • Claude Code installed
  • Bun installed — curl -fsSL https://bun.sh/install | bash

Option A — npm (recommended)

No global install required — run directly with npx or bunx:

npx mcp-recall install   # or: bunx mcp-recall install

Or install globally for faster subsequent runs:

bun add -g mcp-recall    # or: npm i -g mcp-recall
mcp-recall install       # register hooks + MCP server in Claude Code
mcp-recall status        # verify

mcp-recall install writes the MCP server entry and hooks to ~/.claude.json and ~/.claude/settings.json, and adds a short instruction block to ~/.claude/CLAUDE.md so Claude knows how to use the recall tools. It's idempotent — safe to re-run after updates.

Update: bun update -g mcp-recall && mcp-recall install

Uninstall: mcp-recall uninstall && bun remove -g mcp-recall

Option B — Claude Code plugin marketplace

claude plugin marketplace add mcp-recall https://github.com/sakebomb/mcp-recall
claude plugin install mcp-recall@mcp-recall

Both hooks and the MCP server register automatically. Verify with claude --debug.

Option C — from source

git clone https://github.com/sakebomb/mcp-recall
cd mcp-recall
bun install
bun run build
./bin/recall install

The mcp-recall binary is not on PATH for source installs. Add an alias so the CLI works everywhere:

echo 'alias mcp-recall="bun /path/to/mcp-recall/plugins/mcp-recall/dist/cli.js"' >> ~/.zshrc
source ~/.zshrc

Or symlink it:

ln -sf /path/to/mcp-recall/plugins/mcp-recall/dist/cli.js ~/.local/bin/mcp-recall

Updating

Option A — npm / bun global install

bun update -g mcp-recall && mcp-recall install

mcp-recall install is idempotent — it updates hook paths and the MCP server entry in place without touching your stored data or config.

Option B — Claude Code plugin marketplace

claude plugin update mcp-recall@mcp-recall

Option C — from source

git pull
bun install
bun run build
mcp-recall install   # re-registers hooks with the new binary path

After updating

Run mcp-recall status to confirm the new version is active and hooks are registered correctly. Then update community profiles to pick up any new or revised ones:

mcp-recall profiles update

Profiles

Profiles teach mcp-recall how to compress output from specific MCPs. 18 community profiles cover Jira, Stripe, Grafana, Shopify, Notion, and more.

# Install profiles for all your connected MCPs
mcp-recall profiles seed

# Or install the full community catalog at once
mcp-recall profiles seed --all

# See what's available in the community catalog (add --verbose for MCP URLs)
mcp-recall profiles available

# See what's installed (accepts short names: "grafana" not "mcp__grafana")
mcp-recall profiles list

# Get full metadata for a profile (manifest-first, falls back to local data offline)
mcp-recall profiles info grafana

# Keep profiles up to date
mcp-recall profiles update

Profiles quickstart · Profile schema · Community catalog


Configuration

mcp-recall works out of the box. To customize, create ~/.config/mcp-recall/config.toml:

[store]
# Days of actual Claude Code use before stored items expire.
# Vacations and context switches to other projects don't count —
# only days you actively used Claude Code on this project.
# See "Session days" below.
expire_after_session_days = 30

# How to identify a project.
# "git_root" is recommended — stable regardless of launch directory.
# Falls back to "cwd" if not inside a git repo.
key = "git_root"

# Hard cap on store size in megabytes. Least-frequently-accessed
# non-pinned items are evicted when this limit is exceeded.
max_size_mb = 500

# Access count threshold for pin suggestions in recall__stats.
# Items accessed at least this many times will appear as pin candidates.
pin_recommendation_threshold = 5

# Days since creation before a never-accessed item appears as a stale candidate
# in recall__stats. Helps identify stored output that was never retrieved.
stale_item_days = 3

[retrieve]
# Max bytes returned by recall__retrieve() when no query is provided.
# Claude can override this per-call via the max_bytes parameter.
default_max_bytes = 8192

[denylist]
# Additional tool name glob patterns to never store.
# These extend the built-in defaults — they don't replace them.
additional = [
  # "*myserver*secret*",
]

# Allowlist — tools matching these patterns are always stored,
# even if they match a deny pattern. Use when a legitimate tool
# is blocked by a keyword pattern (e.g. *token* blocking your
# analytics tool).
allowlist = [
  # "mcp__myservice__list_authors",
]

# Replace built-in defaults entirely (use sparingly).
# Must re-specify any defaults you still want.
override_defaults = [
  # "mcp__recall__*",
  # "mcp__1password__*",
]

[profiles]
# Manifest signature verification mode when installing/updating community profiles.
# Requires the gh CLI. Options: "warn" (default), "error", "skip".
verify_signature = "warn"

Session days

The expire_after_session_days setting counts days you actively use Claude Code on this project — not calendar days. If you work on a task on Monday, leave for a week, and come back the following Tuesday, your stored context is still exactly as you left it. The counter only advances when you open a session.

This means a 7-day setting gives you 7 working sessions of stored context, regardless of how much calendar time passes between them.


Tools

Ten recall__* tools are available to Claude in every session. The recall__ prefix is the MCP naming convention — it namespaces the tools so Claude knows which plugin owns them. You don't call these yourself; Claude uses them automatically.

Tool Use when
recall__context Start of session — get pinned items, notes, and recent activity
recall__retrieve(id, query?) Need detail from a prior tool call
recall__search(query, tool?) Find stored output by content, no ID needed
recall__pin(id) Protect an item from expiry and eviction
recall__note(text, title?) Store a conclusion or decision as project memory
recall__stats() Session efficiency report with savings and suggestions
recall__session_summary(date?) Digest of a specific session's activity
recall__list_stored(sort?, tool?) Browse stored items
recall__forget(...) Delete by id, tool, session, age, or all
recall__export() JSON dump of all stored items

Full tool reference


Compression handlers

Handlers are selected by tool name, with content-based fallback. Every compressed result includes a header line:

[recall:recall_abc12345 · 56.2KB→299B (99% reduction)]

Repeated identical tool calls return a cached header instead of re-compressing:

[recall:recall_abc12345 · cached · 2026-03-01]
Handler Matches Strategy
Bash native Bash tool CLI-aware routing on tool_input.command: git diff/git show → changed-files summary with per-file +/- stats; git log → 20-commit cap; terraform plan → resource action symbols + Plan: summary; git status → staged/unstaged counts + branch info; npm/bun/yarn/pip install → success or error summary (pnpm → shell compression); pytest/jest/bun test/vitest/go test → pass/fail counts + failure names; docker ps → container name/image/status/ports; make/just → target + outcome; everything else → shell handler.
Playwright tool name contains playwright and snapshot Interactive elements (buttons, inputs, links), visible text, headings. Drops aria noise.
GitHub mcp__github__* Number, title, state, body (200 chars), labels, URL. Lists: first 10 + overflow count.
GitLab mcp__gitlab__* IID, title, state, description excerpt (200 chars), labels, web URL. Lists: first 10 + overflow count.
Shell tool name contains bash, shell, terminal, run_command, ssh_exec, exec_command, remote_exec, or container_exec Strips ANSI escape codes and SSH post-quantum advisory noise. Parses structured {stdout, stderr, returncode} JSON; falls back to plain text. Stdout: first 50 lines + overflow count. Stderr: first 20 lines, shown in a separate section. Exit code in header.
Linear tool name contains linear Identifier, title, state, priority (numeric → label), description excerpt (200 chars), URL. Handles single, array, GraphQL, and Relay shapes.
Slack tool name contains slack Channel, formatted timestamp, user/display name, message text (200 chars). Handles {ok, messages} wrappers and bare arrays. Lists: first 10 + overflow count.
Tavily tool name contains tavily Query header, synthesized answer in full, per-result title + URL + 150-char content snippet. Drops raw_content, score, response_time. Lists: first 10 + overflow count.
Database tool name contains postgres, mysql, sqlite, or database Row/column count header, column names, first 10 rows as col=value pairs. Handles node-postgres {rows, fields}, bare array, and {results} wrapper shapes.
Sentry tool name contains sentry Exception type + message, level, environment, release, event ID. Last 8 stack frames (innermost/most relevant). Drops breadcrumbs, SDK info, request headers.
Filesystem mcp__filesystem__* or tool name contains read_file / get_file Line count header + first 50 lines + truncation notice.
CSV tool name contains csv, or content-based detection Column headers + first 5 data rows as key=value pairs + row/col count. Handles quoted fields.
Generic JSON Any unmatched tool with JSON output 3-level depth limit, arrays capped at 3 items with overflow count.
Generic text Everything else First 500 chars + ellipsis.

The generic JSON handler is intentionally conservative — it keeps structure and marks what was dropped. Correctness matters more than compression ratio.

Credential tools are never stored. Password managers are blocked by explicit name (mcp__1password__*, mcp__bitwarden__*, mcp__lastpass__*, mcp__dashlane__*, mcp__keeper__*, mcp__hashicorp_vault__*, mcp__vault__*, mcp__doppler__*, mcp__infisical__*) because their tool names — get_item, list_logins, vault read — don't contain obvious credential keywords. Keyword patterns catch remaining credential-adjacent names: *secret*, *token*, *password*, *credential*, *api_key*, *access_key*, *private_key*, *signing_key*, *oauth*, *auth_token*, *authenticate*, *env_var*, *dotenv*. Output is also scanned for secret patterns (PEM headers, GitHub PATs, AWS keys, etc.) before any write. If a legitimate tool is blocked by a keyword pattern, add it to denylist.allowlist in your config. See SECURITY.md for details.


Scope

Compression applies to MCP tools and the native Bash built-in.

Claude Code's PostToolUse hook supports output replacement for MCP tools and the Bash tool. mcp-recall intercepts both:

  • MCP tools (mcp__*) — all compression handlers apply (Playwright, GitHub, GitLab, filesystem, shell/remote-exec, Linear, Slack, Tavily, database query results, Sentry events, CSV, JSON, generic text)
  • Bash — CLI-aware handlers: git diff/git show → file-level summary; git log → 20-commit cap; terraform plan → resource action summary; git status → staged/unstaged counts; package install (npm/bun/yarn/pip) → success/error summary; test runners (pytest/jest/bun test/vitest/go test) → pass/fail counts; docker ps → container list; make/just → target + outcome; everything else → 50-line shell cap with ANSI stripping

The remaining built-in tools — Read, Grep, Glob — do not support output replacement. Their full output enters context directly. If large file reads are your biggest context consumer, consider the filesystem MCP server instead of the built-in Read tool.


Privacy

All stored data lives locally on your machine at ~/.local/share/mcp-recall/. Nothing is sent to any external service. The SQLite database contains full tool outputs — treat it accordingly.

To wipe all stored data for the current project:

recall__forget(all: true, confirmed: true)

Or delete the directory directly:

rm -rf ~/.local/share/mcp-recall/

Error contract

mcp-recall never breaks a tool call. Every failure mode — hook crash, SQLite error, handler exception, timeout, secret detected — degrades gracefully to the original uncompressed output passing through unchanged. The session gets slightly worse context efficiency. It never gets broken.


Troubleshooting

Troubleshooting guide


Profile system

Declarative TOML profiles extend compression to any MCP — no TypeScript required. 18 community profiles cover Jira, Stripe, Shopify, Datadog, Notion, Teams, and more.

mcp-recall learn                         # auto-generate profiles from your installed MCPs
mcp-recall profiles seed                 # install community profiles for detected MCPs
mcp-recall profiles available            # browse the community catalog with install status
mcp-recall profiles info <name>          # full metadata for any profile (works offline)
mcp-recall profiles install <name>       # install by short name, e.g. "grafana"
mcp-recall profiles retrain              # suggest field additions using your stored data
mcp-recall profiles test <tool>          # apply a profile and show compression result
mcp-recall profiles list                 # show all installed profiles

Profiles quickstart · Profile schema · retrain guide · AI profile guide · Contributing a profile


Development

git clone https://github.com/sakebomb/mcp-recall
cd mcp-recall
bun install
bun test

See CONTRIBUTING.md for project structure, workflow, and how to add a new compression handler.


What's next

The easiest way to contribute is a TOML profile — no TypeScript, no clone of this repo needed. If you use an MCP that isn't covered, check the community profiles repo or open a profile request.

TypeScript handlers are welcome for tools with complex, non-JSON output (HTML, DOM trees, binary formats) — see CONTRIBUTING.md.


License

MIT — see LICENSE

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