GitHub - Pask00/mcp-trim: ⚡ Token-saving response trimmer for Claude Code MCP tools — trims large JSON responses to only the fields the agent needs, reducing context noise and saving tokens.

⚡ Token-saving response trimmer for Claude Code MCP tools.

MCP tools often return huge JSON responses — full of fields the agent never uses. mcp-trim automatically strips those away, so Claude only sees the fields that matter. Less noise, fewer tokens, faster sessions.

TL;DR: Install → define which fields to keep → every matching MCP response gets trimmed automatically. Or let auto-learning figure it out for you.

How It Works

      Claude calls MCP tool
               │
               ▼
    Tool returns full response
               │
               ▼
         mcp-trim hook
               │
               ▼
        Trimmed response
               │
               ▼
   Claude sees only needed fields

The plugin hooks into Claude Code's PostToolUse event. When an MCP tool (any tool named mcp__*) returns a response, mcp-trim checks your rules, keeps only the fields you specified, and passes the trimmed result back to Claude.

Built-in tools (Bash, Read, Edit, etc.) are never affected.

Use Cases

Automated CI/CD pipelines

If your agent runs repeated workflows — triaging issues, reviewing PRs, checking build status — every MCP call returns the same bloated response. Trimming rules let you define once which fields matter and save tokens on every subsequent call.

Long-running coding sessions

During extended sessions Claude may call the same MCP tools dozens of times. Without trimming, each call burns tokens on fields like permissions, URLs, and metadata the agent never reads. Over a session, that can add up to tens of thousands of wasted tokens.

Multi-tool orchestration

When the agent coordinates across multiple MCP servers (GitHub + Jira + Slack, for example), responses compound quickly. Trimming each server's output to just the fields used keeps the context window lean and lets the agent handle longer conversations before hitting limits.

Predictable API shapes

MCP tools that wrap REST APIs (GitHub, Jira, Linear, Notion, etc.) return stable JSON shapes. Once you know which fields the agent actually uses, a trimming rule is a one-time setup that pays off on every call — no code changes, no prompt engineering.

Auto-learning for new tools

When you start using a new MCP server and don't yet know which fields matter, enable auto-learning and let mcp-trim observe a few sessions. After enough feedback, it suggests rules automatically — no manual field analysis required.

Quick Start

Option A: Claude Code Plugin (Recommended)

/plugin marketplace add pask00/mcp-trim
/plugin install mcp-trim@mcp-trim

Hooks and the field-usage-feedback skill are set up automatically. Just create your first rule:

mcp-trim init
mcp-trim set github-repos \
  --tool "mcp__github__get_repository" \
  --keep "id,name,full_name,html_url,description"

Option B: npm (Manual Setup)

# 1. Install
npm install -g mcp-trim

# 2. Register the hooks with Claude Code
mcp-trim install            # local project
mcp-trim install --global   # all projects

# 3. Create your first rule
mcp-trim init
mcp-trim set github-repos \
  --tool "mcp__github__get_repository" \
  --keep "id,name,full_name,html_url,description"

That's it — every matching MCP response is now trimmed automatically.

Creating Rules

Simple: comma-separated fields

mcp-trim set github-repos \
  --tool "mcp__github__get_repository" \
  --keep "id,name,full_name,html_url,description"

Nested: JSON shape

Use --keep-json when you need to filter nested objects:

mcp-trim set github-repos \
  --tool "mcp__github__get_repository" \
  --keep-json '{"id":true,"name":true,"owner":{"login":true}}'

Regex: match multiple tools

The --tool pattern supports regex, so you can match a whole MCP server:

mcp-trim set github-all \
  --tool "mcp__github__.*" \
  --keep "id,name,title,state"

Agent self-configuration

Claude Code can create rules on the fly via Bash — useful when the agent encounters a verbose response and wants to trim it for future calls:

mcp-trim set jira-issues --tool "mcp__jira__list_issues" --keep "key,summary,status,assignee"

Examples

The examples/ folder contains ready-to-use configs for common MCP servers. Each example has its own directory with a config.json and a README.md explaining the scenario.

Example	Description
`minimal/`	Bare-bones single-rule starting point
`auto-learn-only/`	No rules — relies entirely on auto-learning

Copy one to your project and customize:

# Start from an example
cp examples/minimal/config.json .config/mcp-trim/config.json

Auto-Learning

Don't want to write rules by hand? Auto-learning watches how tools are used and generates rules for you.

How it works

Track — Every MCP response is profiled automatically (field names, sizes, frequency).
Feedback — The agent reports which fields it actually used (via the field-usage-feedback skill or mcp-trim feedback).
Suggest — After enough data (minInvocations + minFeedback), mcp-trim proposes rules that keep only the fields the agent needs.
Apply — Auto-created rules are session-scoped by default. Use --apply to promote them to your global config.

Recording feedback

mcp-trim feedback --session <session-id> \
  --tool "mcp__github__get_repository" \
  --used "id,name,description,owner.login"

Viewing & applying suggestions

# See what mcp-trim recommends
mcp-trim suggest --session <session-id>

# Apply suggestions to config.json (available to all future sessions)
mcp-trim suggest --session <session-id> --apply

Example output:

Suggested Rules (1):

  auto-mcp__github__get_repository
    Based on: mcp__github__get_repository (12 invocations)
    Confidence: 100%
    Est. savings: ~65% (~1,200 chars/call)
    Keep: id, name, full_name, html_url, forks_count
    Keep.owner: login

Fully automatic mode

Enabled by default. When a tool has enough observations and feedback, a rule is auto-created in the session file (sessions/<session_id>.json) — it only applies to that session. Your global config.json is never modified automatically.

To promote auto-learned rules so they apply to all sessions, use:

mcp-trim suggest --session <session-id> --apply

This writes the suggested rules into config.json, making them permanent and globally available.

To disable auto-learning entirely:

{ "autoLearn": { "enabled": false } }

Important: Feedback is required for suggestions. Without at least minFeedback (default: 3) feedback entries for a tool, no rule will be suggested or auto-created.

Token Savings

Example savings

With a typical GitHub repository response:

	Characters	Tokens (est.)
Original response	~2,500	~625
After trimming (5 fields)	~250	~63
Savings	90%	~562 tokens

Multiply across dozens of API calls per session and the savings are substantial.

Checking your stats

mcp-trim stats --session <id>

Token Savings Statistics

  Total invocations:     142
  Total original chars:  285,000
  Total trimmed chars:   42,000
  Total saved chars:     243,000
  Est. tokens saved:     ~60,750
  Overall savings:       85%

Per-Tool Profiles:

  mcp__github__get_repository
    Invocations: 45 | Saved: 180,000 chars (89%) | Rule: github-repos
    Fields tracked: 22

Reset with mcp-trim stats --session <id> --reset.

Token estimates use a 4:1 character-to-token ratio. Actual savings vary by tokenizer.

Configuration Reference

Rules live in .config/mcp-trim/config.json (searched from CWD upward, then home directory).

Example config

{
  "version": 1,
  "rules": [
    {
      "id": "github-repos",
      "description": "Trim GitHub MCP repo responses",
      "match": { "toolName": "mcp__github__get_repository" },
      "keep": {
        "id": true,
        "name": true,
        "full_name": true,
        "owner": { "login": true, "id": true }
      }
    }
  ],
  "autoLearn": { "enabled": true, "minInvocations": 5, "minFeedback": 3 },
  "debug": false
}

mcp-trim init creates an example rule with enabled: false. Use mcp-trim set to create your own.

Rule fields

Field	Description
`id`	Unique rule identifier
`description`	Human-readable description
`match.toolName`	Regex matched against the MCP tool name (case-insensitive). Falls back to exact match if the regex is invalid.
`keep`	JSON shape of fields to preserve. `true` = keep field and all children. `{ ... }` = keep and filter children recursively. Omit to pass the full response through.
`enabled`	Set to `false` to disable without deleting

Matching behavior: toolName is required. If multiple rules match, only the first match applies. All matching is case-insensitive.

Settings

Setting	Default	Description
`autoLearn.enabled`	`true`	Enable auto-learning and auto-rule creation
`autoLearn.minInvocations`	`5`	Minimum observations before auto-creating a rule
`autoLearn.minFeedback`	`3`	Minimum feedback entries per tool before suggesting
`debug`	`false`	Log tool calls to `logs.jsonl`

Files created

All files live inside .config/mcp-trim/ (alongside the nearest config.json):

File	Description
`config.json`	Trimming rules and settings
`logs.jsonl`	Tool call log (when `debug: true`)
`sessions/<session_id>.json`	Per-session auto-learned rules and stats

CLI Reference

Commands

mcp-trim init                            # Create default config
mcp-trim reset                           # Reset config to defaults
mcp-trim install [--global]              # Register hooks with Claude Code
mcp-trim uninstall [--global]            # Remove hooks from Claude Code

Rule management

mcp-trim list                            # Show all rules
mcp-trim show <id>                       # Show a rule as JSON
mcp-trim set <id> [options]              # Add or update a rule
mcp-trim remove <id>                     # Delete a rule
mcp-trim test <id> --input <file>        # Dry-run on sample JSON

set options:

Option	Description
`--tool <pattern>`	MCP tool name regex
`--keep <fields>`	Comma-separated top-level fields
`--keep-json <json>`	Full keep shape as JSON
`--description <text>`	Rule description
`--disable` / `--enable`	Toggle rule on/off

Stats & suggestions

mcp-trim stats --session <id>            # Show token savings
mcp-trim stats --session <id> --reset    # Reset stats
mcp-trim suggest --session <id>          # Show suggested rules
mcp-trim suggest --session <id> --apply  # Auto-apply suggestions

Feedback

mcp-trim feedback [options]              # Record which fields the agent used

Option	Description
`--session <id>`	Session ID (required)
`--tool <name>`	Tool name
`--used <fields>`	Comma-separated field paths, optional counts via colon (e.g., `"id:3,name,owner.login:2"`)
`--used-json <json>`	Field paths as JSON array or `{field: count}` object
`--feedbacks <n>`	Number of feedback entries to record (default: 1)
`--batch <json>`	Batch multiple tools: `'[{"tool":"...","used":{"f1":3},"feedbacks":3}]'`

Logs

mcp-trim logs                            # Show logged tool calls
mcp-trim logs --clear                    # Clear the log
mcp-trim logs --last <n>                 # Show last n entries
mcp-trim logs --json                     # Output as JSON array

Library API

Use the trimming engine programmatically in TypeScript/JavaScript:

import {
  filterFields, extractJson, replaceJsonInText,
  loadConfig, findMatchingRules, buildFilterOptions,
  upsertRule, removeRule, suggestRules,
  loadSessionData, saveSessionData,
} from 'mcp-trim';

// Filter JSON directly
const trimmed = filterFields(myData, {
  keep: { id: true, name: true, owner: { login: true } },
});

// Extract JSON from mixed text
const matches = extractJson(mcpResponse);

// Use the config pipeline
const config = loadConfig();
const rules = findMatchingRules('mcp__github__get_repository', config);

Full list of exports

import {
  // Core filtering
  filterFields, extractJson, replaceJsonInText,
  // Config management
  loadConfig, saveConfig, findConfigPath, findConfigDir, getDefaultConfig,
  findMatchingRules, buildFilterOptions, upsertRule, removeRule,
  // Stats & feedback
  resetStats, recordInvocation, recordFeedback,
  // Suggestions
  suggestRules, suggestionToRule,
  // Field analysis
  collectFieldPaths, totalJsonSize, topLevelFields, groupNestedFields,
  // Tool call logging
  logToolCall, readToolCallLogs, clearToolCallLogs, findLogsPath,
  // Session management
  loadSessionRules, saveSessionRules, upsertSessionRule,
  loadSessionStats, saveSessionStats,
  loadSessionData, saveSessionData, resolveSessionPath,
  // Hook utilities
  normalizeInput, runSessionStartHook,
  // Utility
  readStdin, parseFieldCounts,
} from 'mcp-trim';

Uninstall

Claude Code plugin:

/plugin uninstall mcp-trim@mcp-trim
/plugin marketplace remove mcp-trim

npm:

mcp-trim uninstall                  # Remove hooks
rm -rf .config/mcp-trim             # Remove config, stats, and logs
npm uninstall -g mcp-trim

License

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.claude-plugin		.claude-plugin
.github		.github
examples		examples
hooks		hooks
skills/field-usage-feedback		skills/field-usage-feedback
src		src
tests		tests
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
vitest.config.ts		vitest.config.ts

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⚡ Token-saving response trimmer for Claude Code MCP tools.

Table of Contents

How It Works

Use Cases

Automated CI/CD pipelines

Long-running coding sessions

Multi-tool orchestration

Predictable API shapes

Auto-learning for new tools

Quick Start

Option A: Claude Code Plugin (Recommended)

Option B: npm (Manual Setup)

Creating Rules

Simple: comma-separated fields

Nested: JSON shape

Regex: match multiple tools

Agent self-configuration

Examples

Auto-Learning

How it works

Recording feedback

Viewing & applying suggestions

Fully automatic mode

Token Savings

Example savings

Checking your stats

Configuration Reference

Example config

Rule fields

Settings

Files created

CLI Reference

Commands

Rule management

Stats & suggestions

Feedback

Logs

Library API

Uninstall

License

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