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466,711 tools. Updated 2026-08-20 03:00

"Using local LLMs for code writing, reviewing, and rule generation" matching MCP tools:

  • Generate or modify code files with smart diffs. Provide file path and detailed prompt to create or edit files using context for accurate code generation.
    MIT
  • Retrieve author-written Agent Skills for an LPM package, including usage patterns, anti-patterns, gotchas, and best practices for code generation. Skills are version-specific and resolve from local package.json.
    ISC
  • Generate production-ready code by iteratively reviewing and fixing until a quality threshold is met, saving tokens by returning only the final accepted version.
    Apache 2.0
  • Retrieve system environment details including OS, Python version, installed libraries, and execution mode before generating code. Helps tailor code to the current setup and avoid errors.
    MIT
  • Learn to structure prompts for Veo video generation to achieve higher quality results. Get examples and tips for effective prompt writing.
    MIT
  • Fetches the Fluent API specification for a ServiceNow metadata type. Omit arguments to list all available types, helping you understand the API before writing code.
    MIT

Matching MCP Servers

  • A
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    An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.
    483
    1
    AGPL 3.0

Matching MCP Connectors

  • Run large language models from Replicate for text generation, Q&A, code writing, summarization, translation, and more. Tune output with customizable model, temperature, system prompt, and generation limits.
    MIT
  • Retrieve all ElastiCache clusters with engine, version, encryption, and failover status to check availability and security before writing cache client code.
    MIT
  • Retrieve test scenarios for specified components. Use for writing tests or reviewing implementations against the spec. More efficient than full spec retrieval when only tests are needed.
    MIT
  • Scan Kotlin/JVM code for security issues using a 216-rule analyzer. Returns rule id, message, location, and severity to fix issues while writing.
    MIT
  • Generate a unified chronological timeline merging oncology documents and conversation entries for reviewing medical history, sharing with doctors, or writing patient journals.
    MIT
  • Build a voiceprint from your own writing so AI can replicate your tone. Sources include Claude history, ChatGPT exports, or local files.
    MIT
  • Provide typical callees, familiar imports, and replacement guidance for a file based on repository patterns to inform code writing.
    MIT
  • Inspect SNS topic subscription counts, encryption status, and filter policies to avoid silent message drops when publishing. Use before writing publish code or reviewing event fan-out.
    MIT
  • Run AI model inference on GPU. Supports image generation, video, LLMs, audio transcription, and utilities. Use shortcuts or model IDs. Pay $0.05 USDC per request.
    MIT