Skip to main content
Glama

mcp-adr-analysis-server

by tosin2013
perform-research-2025-10-20T15-31-34-326Z.mdโ€ข2.19 kB
# Tool Context: perform_research > **Generated**: 2025-10-20T15:31:34.326Z > **Tool Version**: 2.0.0 > **Project**: mcp-adr-analysis-server ## Quick Reference Research: "Test" - 85% confidence. Sources: ๐Ÿง  Knowledge Graph ## Execution Summary - **Status**: Research completed with 85% confidence - **Confidence**: 85% - **Key Findings**: - Question: Test - Confidence: 85.0% - Sources consulted: knowledge_graph - Files analyzed: 0 - Duration: 100ms ## Detected Context ```json { "question": "Test", "answer": "Found ADRs", "confidence": 0.85, "sources": [ { "type": "knowledge_graph", "confidence": 0.85, "timestamp": "2025-10-20T15:31:34.326Z", "dataType": "nodes, relationships" } ], "needsWebSearch": false } ``` ## Key Decisions ### 1. Research approach: knowledge_graph - **Rationale**: Cascading research strategy from local project files to external sources - **Alternatives Considered**: - Direct web search - Manual code review ## Learnings & Recommendations ### Successes โœ… - High confidence research results obtained - Sufficient local context available ### Recommendations - Results can be used with confidence - Consider documenting findings in ADR ## Usage in Future Sessions ### How to Reference This Context ```text Example prompt: "Using the context from docs/context/perform_research/latest.md, continue the work from the previous session" ``` ### Related Documents ## Raw Data <details> <summary>Full execution output</summary> ```json { "research": { "answer": "Found ADRs", "confidence": 0.85, "sources": [ { "type": "knowledge_graph", "data": { "nodes": [ { "id": "adr-1" }, { "id": "adr-2" } ], "relationships": [] }, "confidence": 0.85, "timestamp": "2025-10-20T15:31:34.326Z" } ], "needsWebSearch": false, "metadata": { "duration": 100, "sourcesQueried": ["knowledge_graph"], "filesAnalyzed": 0 } } } ``` </details> --- _Auto-generated by perform_research v2.0.0_

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/tosin2013/mcp-adr-analysis-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server