64 lines
2.1 KiB
Markdown
64 lines
2.1 KiB
Markdown
# Testing Your MCP with Large Language Models
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After completing [[connect-llm|connecting your MCP server]], you're ready to begin testing. While [[put-into-llm|quick start]] covered basic testing, this article details advanced configuration options visible below the input box.
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## Model Selection
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Switch between different LLMs here. OpenMCP tracks models at the message level, enabling mixed-model testing scenarios.
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> Can't find your model? See [[connect-llm|connecting MCP servers]] to add new models.
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## System Prompts
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Manage and create system prompts through this module:
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Prompts are stored in `~/.openmcp/nedb/systemPrompt.db` (NeDB format for easy inspection/backup).
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## Prompt Generation
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Invoke server-provided prompt functions, with results inserted as rich text:
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## Resource Access
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Call server resource functions - outputs are inserted as formatted content:
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:::warning Data Persistence
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OpenMCP doesn't manage resource persistence! Empty resources after restart indicate the MCP server lacks storage implementation - this is expected behavior.
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:::
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## Parallel Tool Execution
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When enabled (default), models may call multiple tools in one response (e.g., three parallel web searches):
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Disable for sequential execution.
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> Note: Some providers (like Gemini) may force-disable this if they don't fully support OpenAI's parallel calling spec.
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## Temperature Control
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Controls output randomness:
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- Recommended range: 0.6-0.7 for general tasks
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- Default: 0.6 (balanced creativity/consistency)
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## Context Window
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Determines how many prior messages (default: 20) are sent with each request. Count includes:
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- User queries
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- Model responses
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- Tool calls/results
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:::danger Minimum Threshold
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Values below 20 often break tool call sequencing, causing 400 errors. Start fresh conversations if this occurs.
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:::
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## Server Timeout
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Default 30-second timeout adjustable via Settings → General (global configuration, in seconds). Increase for long-running operations. |