Generate a unified chronological timeline merging oncology documents and conversation entries for reviewing medical history, sharing with doctors, or writing patient journals.
127,309 tools. Last updated 2026-05-05 14:03
"Using local LLMs for code writing, reviewing, and rule generation" matching MCP tools:
- Implement code using strict Test-Driven Development methodology by writing tests before production code. Supports iterative TDD cycles with session resume functionality.MIT
- Generate code files from natural language specifications using local or remote AI backends, with optional Claude review and automatic unit test generation.Apache 2.0
- Chat with local LLMs using conversation history, system messages, tool calling, and adjustable generation settings.AGPL 3.0
- Generate Python code from user requests using context-guided generation to produce functional implementations.MIT
- Searches for local businesses and places using Brave's Local Search API. Returns names, addresses, ratings, phone numbers, and hours. Ideal for queries like 'near me' or specific locations.
Matching MCP Servers
- AlicenseCqualityDmaintenanceA customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.Last updated114Apache 2.0
- Alicense-qualityDmaintenanceAn MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.Last updated1MIT
Matching MCP Connectors
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- Perform a Google Maps search query to obtain local business data including names, addresses, ratings, reviews, and contact info. Use for lead generation, competitor analysis, and market expansion.MIT
- Retrieve comprehensive Google Maps place data including name, address, coordinates, phone, website, hours, rating, and more using a placeId. Enables local SEO audits, POI enrichment, lead generation, and competitor mapping.MIT
- Remove a deployed custom evaluation rule. Future evaluations stop using this rule while past results remain intact.MIT
- Read resolved values of all local Figma variables to extract design token names, types, hex colors, and numeric values. Ideal for generating DESIGN.md, exporting to Tailwind, or detecting drift between design and code.MIT
- Retrieve timezone data and local time for any location using city names, coordinates, or IP addresses. Returns IANA timezone ID, current local time, and Unix timestamp.MIT
- Explore and retrieve available writing styles and tones to enhance text rephrasing and language translation using the DeepL MCP Server.MIT
- Retrieve details about a specific code generation session using its session ID to access browser automation results and generated test code.MIT
- Remove a specific Requestly rule by providing its unique ruleId to manage your network request configurations.MIT
- Clear a Playwright browser automation code generation session by removing stored data without creating test files. Use this to reset session state when automation workflows change.MIT
- Analyze code by providing code and a specific question to a local LLM. Receive targeted answers about code behavior, errors, or improvements.
- Builds the required DatiTrasmissione block for FatturaPA invoices. Validates transmission format and recipient code, returning the header ready for XML generation.Apache 2.0
- Generate architecture diagrams from Python code using the diagrams package. Create AWS, Kubernetes, and custom diagrams by writing code that defines components and connections.Apache 2.0
- Learn how to structure prompts for Veo video generation to achieve accurate, high-quality results. Includes examples and tips.MIT
- Analyze test coverage across modules and files to identify untested code before writing tests, during code reviews, or when planning test strategies.MIT