"date-fns" matching MCP servers:

Provides up-to-date, version-specific documentation and code examples for libraries and frameworks directly into AI prompts, eliminating outdated code generation and hallucinated APIs.

Enables AI agents to access and search up-to-date Solana documentation, get canonical spec references, and fix Anchor/Pinocchio Solana programs via MCP tools.

A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.

Enables chat assistants to remember past conversations by saving each turn and retrieving semantically relevant memories via similarity search. Also allows fetching all memories from a specific date.

Provides local technical documentation with hybrid search (semantic + BM25) for AI agents, ensuring access to up-to-date framework docs.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Provides up-to-date documentation for AI agents by locally querying a community-driven registry of pre-built docs packages.

Context9 is an MCP server that feeds AI agents with up-to-date documentation, reducing hallucinations by real-time knowledge synchronization.

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

An MCP server that provides full-text search over documentation using Whoosh, enabling AI assistants to find up-to-date, authoritative answers.

Exposes four tools to an LLM: ranked knowledge-base document search with grounding instructions, full document retrieval by id, sandboxed exact arithmetic evaluation, and date-difference calculation between ISO dates. Strict JSON schemas, model-readable error messages, and a thin protocol layer make tool calling reliable enough to run in production, with the calculator and date maths covering the tasks models get wrong unaided.

Provides LLMs with up-to-date, version-specific documentation and code examples from library sources directly into prompts, eliminating outdated code generation and hallucinated APIs.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Enables AI assistants to perform up-to-date web searches through the Tavily API, providing comprehensive search results with AI-generated summaries.

Provides AI assistants with up-to-date legal documents from official sources, enabling accurate legal information retrieval and analysis.

Enables AI assistants to access up-to-date documentation by indexing GitHub repositories and official docs, providing semantic search through MCP.

Processes emails from Outlook with date filtering, storing them in SQLite databases while generating vector embeddings for semantic search capabilities in MongoDB.

MCP server that indexes local Claude Code transcripts and provides keyword, phrase, semantic, and date-range search, plus full context/session recall.

Enables semantic search and ingestion of investor content using Upstash Vector and Vercel Blob storage, with optional filtering by author, company, and date.

Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner（ZH）：给任何 AI agent 一个可校验的内容规范与资产底座——先查契约，再落笔。 描述 / Description：只读 MCP 服务器：把长内容的验收标准（协议 / 模块 / 管线 / 资产 / 馆藏）变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt（assemble_guide）；支持 modern 2026-07-28 与 legacy 2025-11-25 双协议；零第三方依赖（Python 标准库）；无写路径。 仓库 / Repo：https://github.com/Monyeah777/NinFenz 站点