Fetch Agents
Fetch Agents MCP Server
MCP server providing AI-powered code analysis, context compression, and knowledge search tools for Claude Code, Cline, and other MCP-compatible AI assistants.
Tools
| Tool | Description | Use When |
|---|---|---|
| slim_code | Reduce a code file to only sections relevant to your task | Reading large files, saving tokens |
| map_layers | List all LAYER sections in a code file | Exploring unfamiliar code structure |
| extract_layer | Extract one specific named LAYER section | Focused reading of a single component |
| compress_text | Compress long text while preserving key information | Summarizing docs, logs, verbose output |
| analyze_context | Find noise and wasted tokens in conversations | Long conversations hitting context limits |
| teleport_chat | Index a chat export into searchable knowledge base | Reusing insights from past conversations |
| search_knowledge | Search indexed knowledge bases | Finding relevant past discussions |
Quick Start
1. Get a free API key
curl -X POST https://agentslab.duckdns.org/code/register \
-H "Content-Type: application/json" \
-d '{"name": "my-project"}'
50 free requests/day included.
2. Add to your MCP config
Claude Code (~/.claude/.mcp.json):
{
"mcpServers": {
"fetch-agents": {
"command": "python",
"args": ["mcp_server.py"],
"cwd": "/path/to/fetch-agents-mcp",
"env": {
"FETCH_API_KEY": "fak_your_key_here"
}
}
}
}
Cline (VS Code settings):
{
"cline.mcpServers": {
"fetch-agents": {
"command": "python",
"args": ["mcp_server.py"],
"cwd": "/path/to/fetch-agents-mcp",
"env": {
"FETCH_API_KEY": "fak_your_key_here"
}
}
}
}
3. Install dependencies
pip install mcp httpx
x402 Payments (No API Key Needed)
All endpoints support x402 micropayments on Base (Coinbase L2). Any AI agent with a USDC wallet can pay per-request without registration:
POST /code/slim -> 402 Payment Required + payment-required header
-> Agent signs USDC transfer -> retries with payment header -> gets response
Prices: $0.10 - $1.00 per request depending on tool.
How It Works
The MCP server connects to cloud-hosted agents at agentslab.duckdns.org via HTTPS. Your code is processed server-side using LLM-powered analysis pipelines. No local GPU needed.
Your IDE -> MCP Server -> HTTPS -> Cloud Agents -> Response
Example Usage
Once installed, your AI assistant can use the tools naturally:
"Use slim_code to get only the authentication-related code from this file"
"Compress this error log to the key information"
"Search my teleported knowledge base for how we handled rate limiting"
Pricing
| Tier | Price | Included |
|---|---|---|
| Free | $0 | 50 requests/day |
| Pay-per-use (x402) | $0.10-1.00 | Per request, USDC on Base |
| Prepaid balance | Top up via crypto | BTC, ETH, USDC, + 10 more |
| Pro subscription | $15/mo | 300 requests/mo |
Requirements
- Python 3.10+
mcpandhttpxpackages- Internet connection (tools call cloud APIs)
License
MIT
Server Config
{
"mcpServers": {
"fetch-agents": {
"command": "python",
"args": [
"mcp_server.py"
],
"cwd": "/path/to/fetch-agents-mcp"
}
}
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