patternfetch
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PATTERNFETCH_API_KEY | Yes | API key for patternfetch |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| patternfetch_briefA | Get a token-compact market-state brief for a crypto ticker + timeframe. Returns compact candles, detected chart/candlestick patterns with geometric confidence, support/resistance levels, trend/regime, and interpreted indicators (RSI/EMA state) plus a one-line summary. WHEN: an agent needs the current technical picture of a market without dumping raw OHLCV into context (saves tokens, avoids numeric hallucination). WHEN NOT: you need order execution, portfolio advice, or non-crypto assets. Example: {"ticker":"BTC/USDT","timeframe":"4h"}. Output is impersonal market data, NOT investment advice. |
| patternfetch_deltaA | Get only what CHANGED since your last brief for a ticker+timeframe (trend flips, new patterns, RSI-state changes). WHEN: an agent polls the same market repeatedly and wants minimal tokens. Returns changed=false when nothing material changed. Impersonal data, not advice. |
| patternfetch_analogsA | Find historical windows whose shape resembles the current price action and return the FULL distribution of what followed (win-rate, median, min, max, n) over a fixed forward horizon. WHEN: an agent wants historical context for a setup. NOT a prediction, NOT a backtest of a strategy; past distribution does not guarantee future results. Impersonal data, not advice. |
| patternfetch_capabilitiesA | List supported assets, timeframes, endpoints, and limits for patternfetch. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/MarvinRey7879/patternfetch-client'
If you have feedback or need assistance with the MCP directory API, please join our Discord server