MCP servers in io.github.MukundaKatta

Structured-output enforcer: extract and validate JSON from messy LLM text.

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Token-aware message truncation: fit a chat history into your model's context budget.

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Network-egress firewall for agent tools: check URLs against a declarative policy.

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Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.

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Validate tool-call args before execution. Returns LLM-friendly retry hints.

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Inject, parse, and strip [N] citation markers in RAG outputs.

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Reliable CSV parsing + generation. Handles quotes, embedded commas, BOMs, CRLF.

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Character-precise unified diff + patch application + patch parsing.

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Convert HTML to Markdown or strip to plain text. For web-scraping agents.

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Run JMESPath queries against JSON. Pure JS, no native binary needed.

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Parse JSON5 (comments, trailing commas, unquoted keys) and emit strict JSON.

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Token-budget-aware text handling: count, truncate, and chunk for LLM prompts.

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Diagnose RAG drift: interpret scores, recommend thresholds, explain dimensions.

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RAG retrieval IR metrics: recall@k, hit@k, MRR, NDCG@k, evaluate_batch.

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Trustworthy JS regex testing. Real offsets, named groups, safe against zero-width loops.

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Safe shell argument escaping for bash, cmd.exe, and PowerShell.

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Deterministic SQL formatting across 19 dialects (postgres, mysql, snowflake, bigquery, etc.).

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Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.

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IANA timezone conversions with real DST rules.

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Parse, format, and convert configs across TOML, YAML, and JSON.

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