"A simple MCP server or implementation" matching MCP servers:

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

Turns any API into a curated MCP server from a single config file, enabling interaction with APIs through MCP clients like Claude Desktop.

A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption

MCP server that helps AI assistants generate accurate code and guidance for Dynamsoft SDKs.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Provides direct access to local documentation files through simple search and overview tools, enabling LLMs to query project-specific markdown documentation without requiring vector databases or RAG pipelines.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

Enables AI models to access GitHub repository information and search local documentation files. Provides three basic tools: fetching repository details, retrieving file contents from GitHub, and searching through local markdown documentation.

A server for the Magma mathematical computing system that uses RAG to retrieve concepts from the Magma Handbook and generate Magma code.

Enables AI models to fetch GitHub repository information, read file contents, and search local documentation.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

A Model Context Protocol server that provides AI coding agents with real, live, source-cited documentation for npm, PyPI, and Cargo packages, including READMEs, metadata, vulnerability checks, and package search.

Exposes Xiaofenshen's public read-only APIs as MCP tools, enabling agents to read shared content, list image prompt templates, and fetch product documentation.

Enables searching and querying HackTricks pentesting documentation directly from Claude, with tools for quick lookup, grouped search results, page outlines, section extraction, and cheatsheet mode.

Fetches up-to-date, version-specific documentation and code examples for any library, preventing outdated or hallucinated API usage in LLM responses.