"Connecting external data sources for contextual LLM calls" matching MCP servers:

Serves an LLM-maintained markdown wiki to agents over MCP, providing tools for querying and navigating wiki pages without direct filesystem access.

Svelte and SvelteKit developer odcumentation

Builds a local, citation-aware wiki from an approved project scope and exposes it as an MCP server with a single read-only tool for agents to explore the wiki.

MCP server to help AI assistants generate Italian PA user interfaces by providing components, recipes, accessibility rules, and validation for Bootstrap Italia and Web Components.

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.

An MCP server that provides AI agents with a governed wiki requiring human approval before any formal page update, combining structured knowledge management with safe, auditable writes.

A generic MCP server that turns a directory of Markdown wiki pages into a network-reachable knowledge base, queryable and updatable by any MCP-compatible client.

Local knowledge base built from PDF lecture slides on Agentic Coding, exposed as an MCP server with search, page retrieval, and query tools.

Enables building and querying a local wiki knowledge base from raw source files via MCP tools and a PyQt viewer.

Enables querying Polish data protection regulations, decisions, and guidelines from the UODO directly from AI assistants.

Provides a single-writer MCP server for a governance-grade knowledge base of markdown documents with version control and query capabilities.

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.

A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.

Enables AI coding agents to triage BigQuery ML and BigQuery AI tasks, look up exact model and function syntax, and search 137 syntax cards, 14 reference guides, and 104 live-verified narratives via a zero-dependency stdio MCP interface.

Enables AI agents to extract, validate, and discover documentation from websites using llms.txt and install.md standards.

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.