"Trade-In Value Estimator for Canada" matching MCP servers:

Enables AI assistants to answer British Columbia employment law questions — overtime, breaks, statutory holidays, pay, leaves and termination — from the current official text on BC Laws, in English or Chinese, with the act, section number, link and official "current to" date. Exposes tools to locate acts, browse a table of contents, retrieve and search sections, and map everyday or Chinese terms to the wording the statute actually uses.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Exposes a small catalog of programming study topics through the Model Context Protocol (MCP) for local learning.

Enables interaction with Zhejiang University's learning platform (学在浙大 / 智云课堂) via MCP tools, allowing natural language commands to check todos, view schedules, fetch lecture transcripts, and submit homework.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

A read-only MCP server providing curated Qdrant documentation for LLMs, enabling retrieval of the latest and most accurate documentation.

MCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.

Serves read-only tools that let an agent inspect PDFs step by step: outline a document, search for text or figure values, read pages and tables in order, describe figures and chart data, and render page or block images, with every block cited to its page and bounding box. It also lists the PDFs available under a configured root folder, which it never reads outside of.

Provides AI clients with deterministic lookup and cross-walk tools for 1,460+ public-sector contracting references, covering FAR/DFARS, SBA set-asides, NAICS/PSC/NIGP codes, procurement portals, glossary terms, and capture playbooks.

This MCP server enables reading and analyzing various file formats, including PDF, DOCX, XLSX, and CSV, by extracting metadata, searching for keywords, and reading structured content. It also provides capabilities to create new documents and convert files between supported formats.

Pulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.

Enables AI assistants to analyze project folders for dependencies and frameworks and fetch current documentation or datasheets from the web.

Enables scraping and searching documentation websites using semantic or keyword search, with support for multiple deployment modes.

An MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Gives an AI agent a database's tables, columns, value lists, null shares and joins from a dbprint snapshot committed to your repo, with no database connection or credentials. Tools list and search tables and columns, render prompt-ready context for a table, resolve a filter value to its stored spelling, and report what changed since the last snapshot.

Read-only MCP server that exposes a design system's tokens, components, conventions, and deprecations as queryable tools, enabling agents to look up canonical values, assess change impact, and detect hardcoded value drift.

An MCP server providing steel domain knowledge to AI agents — grade properties, substitution verdicts, and mill-cert guidance as MCP tools. 23 grades, trade-verified substitution logic. Returns honest "not in knowledge base" rather than guessing.

Decode VINs, look up specs, history, recalls, market value, and OBD codes. Recognize license plates and VINs from images. Access comprehensive vehicle data by year, make, and model to power automotive workflows.

Gives coding agents offline, local lookup of real MetaTrader 5 built-in function signatures, sections and documentation links, plus plain-language meanings for trade server return codes and runtime errors. It runs over stdio with a prebuilt index, making no network calls and requiring no API key, so agents stop emitting MQL4 syntax or inventing functions.

Provides a structured documentation system for context preservation in AI assistant environments, helping users create and manage memory banks for their projects.

Access 1000+ development protocols and steering rules directly in your IDE for technologies like Django, React, and Vue.

Provides read-only access to AI documentation for Peak Studios FiveM scripts, grounded in approved public repository documentation.

Provides live, clean, LLM-ready markdown documentation for popular fullstack technologies and custom URLs, with built-in presets for React, Next.js, TypeScript, and more.

Local-first document management and semantic search for AI coding agents, with a built-in web dashboard and REST API.

Enables AI agents to send HTML documents to a local viewer, where they are stored and displayed in a live web UI for browsing and searching.

MCP server that converts PDFs to Markdown, reconstructing hidden hyperlinks and extracting images in reading order for AI agents.

This local stdio MCP server enables AI clients to search, read, and safely write Omeka S REST API resources such as items, media, item sets, site pages and blocks, with value annotations and read-back verification of writes.

Enables AI agents to read public vehicle data such as NHTSA recalls, complaints, and crash ratings, EPA engines and fuel economy, Transport Canada dimensions, and published bilingual automotive guides through search and retrieval tools.

Enables AI assistants to explore Ed-Fi API endpoints, schemas, and generate entity relationship diagrams, aiding development of Ed-Fi client applications.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

This MCP server enables users to search and access documentation for community-developed n8n nodes and official built-in nodes. It provides token-optimized responses for discovering n8n packages and documentation directly through AI assistants.

An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.

A simple MCP server for utilizing prompts defined in YAML files.