Topic: mcp-clients
13 skills in this topic.
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reviewing-code
Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.
PrefectHQ/fastmcp 24,481
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testing-python
Write and evaluate effective Python tests using pytest. Use when writing tests, reviewing test code, debugging test failures, or improving test coverage. Covers test design, fixtures, parameterization, mocking, and async testing.
PrefectHQ/fastmcp 24,481
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review-pr
Monitor and respond to automated PR reviews (Codex bot). Use when pushing a PR, checking review status, or responding to bot feedback. Handles the full cycle of push -> wait for review -> evaluate comments -> fix -> re-push.
PrefectHQ/fastmcp 24,481
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code-review
Review code for quality, maintainability, and correctness
PrefectHQ/fastmcp 24,481
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pdf-processing
Extract text from PDFs, fill forms, and merge documents
PrefectHQ/fastmcp 24,481
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fastmcp-client-cli
Query and invoke tools on MCP servers using fastmcp list and fastmcp call. Use when you need to discover what tools a server offers, call tools, or integrate MCP servers into workflows.
PrefectHQ/fastmcp 24,481
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amazon aurora dsql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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aurora dsql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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aws dsql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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distributed postgres
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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distributed sql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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dsql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
awslabs/mcp 8,655
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agentcore-investigation
Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
awslabs/mcp 8,655