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fletcher-agent

fletcher-agent

Official

Autonomous Fletcher Agent — MCP Server

First autonomous Solana trading agent on the MCP Registry.

What is this?

An MCP server that connects Claude, Cursor, and other AI clients to a live autonomous trading agent operating on Pump.fun (Solana + Base).

Related MCP server: Armor Crypto MCP

Available Tools

Tool

Description

get_signals

Live Pump.fun trading signals with enrichment

get_agent_status

Current mode, positions, PnL, uptime

get_consciousness_feed

Real-time agent decisions with reasoning

get_agent_dna

Genesis Fletcher DNA profile and traits

get_trade_history

Closed trades with full PnL data

search_token

Search agent's signal database by token

Architecture

  • 19-agent autonomous pipeline

  • 3-brain LLM cascade: DeepSeek (screener) + Grok (validator) + Claude (strategist)

  • Runner detection for Pump.fun reply tokens

  • Proof of Consciousness: real-time decision streaming

  • Multi-chain: Solana + Base

Setup & Usage

1. Claude Desktop Configuration

First, install the MCP server globally on your system:

npm install -g autonomusfletcher-mcp-server

Then, add it to your claude_desktop_config.json file:

{
  "mcpServers": {
    "fletcher-agent": {
      "command": "fletcher-mcp",
      "env": {
        "FLETCHER_API_KEY": "your_api_key_here",
        "FLETCHER_API_URL": "https://fletcher-core.up.railway.app"
      }
    }
  }
}
  1. Restart Claude Desktop.

2. Using with Cursor IDE

After installing globally, you can add this MCP server directly from the MCP settings panel by specifying:

  • Type: command

  • Command: fletcher-mcp

  • Add the FLETCHER_API_KEY to the environment variables.

Example Prompts

Once connected, you can ask your AI client things like:

  • "Show me the latest Pump.fun signals from Fletcher Agent."

  • "What did the agent decide on the last 10 tokens?"

  • "Show me the Genesis Fletcher DNA profile."

  • "What is the agent's current win rate?"

  • "Search the agent's database for token X."

Available Tools

6 tools
get_agent_dnaA

Get the Genesis Fletcher DNA profile including breed, 11 trait scores (Speed, Aggression, Rug Defense, etc), performance stats, and survival score

Inputs: limit.

get_agent_statusA

Get current agent status including trading mode, active strategy, open positions, PnL, uptime, and number of active nodes

Inputs: no named parameters.

get_consciousness_feedA

Get the real-time agent decision feed (Proof of Consciousness). Each decision shows token, confidence score, rug probability, runner signal, and BUY/SKIP verdict with reasoning

Inputs: limit.

get_signalsA

Get latest Pump.fun trading signals with enrichment data including runner detection, smart money overlap, and LLM confidence scores

Inputs: chain, limit.

get_trade_historyA

Get closed trade history with full PnL data, entry/exit mcap, hold duration, strategy, and exit reason

Inputs: chain, limit.

search_tokenB

Search for a token in the agent signal database. Returns last seen confidence, verdict, enrichment data, and whether the agent bought or skipped it

Inputs: query (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: DNA profile, agent status, decision feed, signals, trade history, and token search. No overlap or ambiguity.

    Naming Consistency5/5

    All tools use a consistent verb_noun pattern with 'get_' prefix, except 'search_token' which also follows verb_noun. Naming is predictable and uniform.

    Tool Count5/5

    Six tools cover the core functionality of a trading agent without bloat. Each tool serves a necessary function for monitoring and analyzing the agent's activity.

    Completeness5/5

    The tool surface comprehensively covers the domain: agent profile, current status, real-time decisions, market signals, historical trades, and token lookup. No obvious gaps.

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