patternfetch
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PATTERNFETCH_API_KEY | Yes | API key for patternfetch |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- 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