"Querying Time or Time-Related Information" matching MCP servers:

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

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

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

Provides offline access to SAP documentation and real-time SAP Community content, integrating official documentation with community-driven solutions for comprehensive developer support.

A dev-time MCP server that lets coding agents read documentation directly from installed @particle-academy/\* packages, ensuring version-matched docs without network calls.

Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

A self-hosted MCP server that fetches live documentation and performs code audits using real-time authoritative references to prevent AI hallucinations. It provides tools for searching documentation across 330+ libraries and scanning local source code for security, performance, and accessibility issues.

Enables offline, real-time search of Apple Developer Documentation from Xcode's local index, returning full text, code examples, availability, and framework listings without network calls.

Enables AI assistants to retrieve Bible passages from multiple translations (ESV, NIV, KJV, NASB, NKJV, NLT, AMP, MSG). Supports querying single or multiple passages and provides both MCP protocol integration and REST API endpoints.

MCP server for the Federal Register of Legislation, enabling point-in-time searches, retrieval, and verification of Australian Commonwealth law, including citation checking.

Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.

An accessibility expert MCP server that provides AI coding assistants with real-time access to WAI-ARIA patterns, code review, contrast checking, and WCAG guidance for writing accessible code from the start.

Provides access to Ant Design component library documentation and information for automated code generation. Enables searching components by category or keyword, retrieving component props, examples, API documentation, and available icons.

Connects AI agents with Swagger/Knife4j API documentation, enabling real-time retrieval, search, and structured understanding of API interfaces, parameters, and schemas.

Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.

Lets AI agents search and read a folder of Markdown documentation at query time, exposing heading-level search, whole-page or section retrieval, and page listing as tools and resources over stdio or Streamable HTTP. Can run as a CLI, a hosted endpoint, or a library inside an existing Node or Next.js site.

It enables AI engineers to retrieve real-time official documentation for 45+ libraries, search across frameworks, and extract code examples directly inside MCP-compatible assistants, eliminating stale training data and outdated API usage.