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prompte-mcp

by AlanRoybal
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prompte-mcp

An MCP server that enhances your prompts before Claude processes them — automatically applying chain-of-thought, few-shot, tree-of-thought, and other prompt engineering techniques based on what you're asking.

you type:   "fix this null pointer crash"

claude sees: "Work through this using the ReAct pattern — alternate between
              Thought (reasoning) and Action (what you would do), then give
              a final Answer.

              fix this null pointer crash"

Setup

No API key needed. Prompte runs entirely on your existing Claude Code or Codex session.

git clone https://github.com/AlanRoybal/prompte-mcp
cd prompte-mcp
node bin/setup.js

The setup script handles everything:

  1. Registers the MCP server in ~/.claude/settings.json

  2. Installs the UserPromptSubmit hook (automatic enhancement on every prompt)

  3. Creates ~/.prompte/config.json with defaults

Then restart Claude Code.

Flags

node bin/setup.js --yes       # accept all defaults, no prompts
node bin/setup.js --dry-run   # preview changes without writing anything

Manual setup

If you prefer to edit ~/.claude/settings.json directly:

{
  "mcpServers": {
    "prompte": {
      "command": "node",
      "args": ["/path/to/prompte-mcp/bin/prompte-mcp.js"]
    }
  },
  "hooks": {
    "UserPromptSubmit": [
      {
        "matcher": "",
        "hooks": [
          {
            "type": "command",
            "command": "python3 /path/to/prompte-mcp/hooks/user-prompt-submit.py"
          }
        ]
      }
    ]
  }
}

How it works

The MCP server handles classification and technique selection. Claude Code (your existing session) does the actual enhancement — no separate API calls, no extra costs.

your prompt
    │
    ▼
┌─────────────┐
│  Classifier │  keyword heuristics (no API call)
│             │  → intent: debugging / reasoning / generation / ...
└──────┬──────┘
       │  technique affinity scores
       ▼
┌─────────────┐
│   Scorer    │  affinity × your learned acceptance rate
│             │  → selects best technique
└──────┬──────┘
       │  techniqueInstruction
       ▼
  Claude Code  ←── applies the technique using its own intelligence
       │
       ▼
    response

The scorer learns from you. Acceptance rates per technique are tracked in ~/.prompte/ — techniques you skip get demoted over time.

Two modes

Automatic (hook)

The UserPromptSubmit hook fires on every prompt silently — no tool call, no interruption. Claude receives the enhanced version without you doing anything.

Prefix a prompt with * to bypass:

* just answer this exactly as asked

Interactive (MCP tools)

When Claude calls enhance_prompt, it shows you the enhancement and waits for your decision before answering:

I've selected the Chain of Thought technique for this (debugging).

Original: why does my function crash when the list is empty?

Enhanced: Think through this step-by-step before giving your final
          answer. Show your reasoning explicitly.

          why does my function crash when the list is empty?

[A] Accept   [E] Edit   [S] Skip   [Q] Quit

Reply with a / e / s / q (or just say "accept", "skip", etc.):

Reply

What happens

a / accept

Claude answers using the enhanced prompt

e / edit

Paste your revised version, Claude uses that

s / skip

Claude answers your original prompt, no technique

q / quit

Claude stops, does nothing

Set autoAccept: true in ~/.prompte/config.json to skip the confirmation and apply silently.

Claude Code can also call these tools directly during a session:

Tool

What it does

enhance_prompt

Classify intent, select best technique, return techniqueInstruction for Claude to apply

list_techniques

All 8 techniques with your acceptance stats

get_stats

Session totals + current config

record_feedback

Mark an enhancement helpful/not (trains technique weights)

get_config

Read ~/.prompte/config.json

set_config

Write a config value

The CLAUDE.md in this repo tells Claude when to call enhance_prompt automatically — on debugging, reasoning, generation, architecture, and review prompts.

The 8 techniques

Technique

Best for

What it adds

Chain of Thought

Debugging, reasoning

Step-by-step reasoning before answering

Few-Shot

Generation, review

Concrete example to anchor output

Tree of Thought

Decisions, architecture

3 approaches with pros/cons, then a recommendation

Meta-Prompting

Architecture, generation

Restate understanding of the goal before answering

Role Prompting

Review, generation

Senior software engineer framing

Self-Consistency

Reasoning, debugging

Verify from a different angle, correct if wrong

Step-Back

Explanation, reasoning

Consider broader context and first principles first

ReAct

Debugging, multi-step

Interleaved Thought / Action / Observation steps

Configuration

~/.prompte/config.json:

{
  "enabled": true,
  "autoAccept": false,
  "bypassPrefix": "*",
  "preferredTechniques": [],
  "disabledTechniques": [],
  "llmClassifier": true,
  "maxPromptLength": 4000
}

Key

Default

Description

enabled

true

Master switch

bypassPrefix

"*"

Prompt prefix to skip enhancement

preferredTechniques

[]

Boost these techniques

disabledTechniques

[]

Never use these techniques

maxPromptLength

4000

Skip enhancement above this length

Per-project overrides: drop a .prompte file anywhere in your project tree (or a parent directory). Values override the global config.

Project structure

prompte-mcp/
├── bin/
│   ├── prompte-mcp.js      MCP server
│   └── setup.js            setup script
├── src/
│   ├── classifier/         intent classification (LLM + keyword fallback)
│   ├── techniques/         8 technique definitions
│   ├── engine/             classify → score → select → rewrite
│   └── config/             ~/.prompte/ storage and acceptance rate learning
├── hooks/
│   └── user-prompt-submit.py   UserPromptSubmit hook
└── CLAUDE.md               tells Claude when to call enhance_prompt
Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - A tier

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