"General greeting or query" matching MCP servers:

MCP server for token-efficient access to Open Finance Brasil rules, enabling coding agents to search and retrieve specific regulations, OpenAPI specs, and business rules through progressive disclosure.

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.

Enables coding agents to query a team knowledge base via MCP, performing semantic search and asking questions that return grounded, citation-backed answers from ingested documents.

Enables AI agents to query Linux kernel source code, git history, LKML discussions, Patchwork patches, and documentation with evidence-ranked results, citations, and explicit assumptions or contradictions.

Provides coding agents with hybrid semantic and exact-identifier search across VHDL source, documentation, and general code, with cross-referencing and exact source attribution.

Serves organizational context to MCP-capable AI agents from a local folder or GitHub repository, and lets agents propose changes that require human approval.

Provides tools to search, list, and retrieve Python Enhancement Proposals (PEPs) directly from official sources like peps.python.org. It enables users to query active PEP titles and fetch document content or focused excerpts through natural language.

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

A flexible Model Context Protocol server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs by simply pointing to a git repository or folder.

Serves a bundled greeting skill over stdio using the MCP Skills extension, letting clients discover the skill's metadata and digest, read its SKILL.md as an ordinary MCP resource, and invoke a greet tool that returns a personalized hello.

Provides access to ORD specification and concept explanations with tools to retrieve the specification and explain concepts.

Enables AI assistants to query and search library documentation from GitHub repositories or web pages using RAG and web scraping.

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.

A Model Context Protocol server that provides greeting tools, resources, and prompts, demonstrating client-server interaction using TypeScript.

Query 237 features from Shopify's Spring '26 Edition with per-claim trust ratings (primary docs vs. marketing) through any AI agent — local or hosted.

Enables semantic search of project documentation using hybrid vector and full-text search with fast and deep query modes for immediate results or complex multi-round synthesis.

Enables semantic search over Omarchy, Arch Linux, and Hyprland documentation, allowing users to query configuration and usage information via natural language in Cursor, OpenCode, or Claude Code.

Fetches and parses documentation from llms.txt files to enable AI assistants to access and query documentation dynamically.

MCP server enabling AI assistants to explore schema.org types, generate JSON-LD examples, validate structured data, and navigate the complete ontology with fuzzy matching and caching.

MCP server that provides RAG-based access to Neoforge Mod API documentation, enabling LLMs to query the latest Neoforge modding knowledge.