"Creating a Cash-Generating Chain with MCP" matching MCP servers:

Read-only MCP server for a local-first supply chain knowledge base, enabling knowledge search with source evidence, internal system troubleshooting, vendor documentation fallback, vessel tracking, and work handoff preparation.

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

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.

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.

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.

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

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

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

MCP server that enables introspection of any MCP server's registered tools by exposing mcpreg/list, mcpreg/get, and mcpreg/query tools, making tool registry accessible even when the underlying SDK lacks list_tools().

An MCP (Model Context Protocol) server that turns the book Deep Learning with Python (François Chollet) into a searchable knowledge base, so Claude can act as a deep-learning/ML expert grounded in the book's content.

Enables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.

Convert PDF, DOCX, HTML, and URLs into clean, LLM-ready markdown with tables preserved and boilerplate stripped, through three MCP tools (URL, local file, or raw bytes). Hosted API with no local dependencies; 50 free conversions with a self-serve key, then $0.002 per call.

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

An MCP server that lets AI agents search and read documentation built with Verso, Lean's documentation authoring tool, by providing tools like search and fetch_page over configured documentation sites.

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 a personal portfolio of projects, skills, and resume as callable tools for MCP-compatible AI assistants like Claude Desktop.

A Code Mode MCP server that provides AI coding agents with curated, per-stack documentation as typed tools, enabling efficient document access and search across multiple stacks.

A Model Context Protocol (MCP) server providing accurate LSL (Linden Scripting Language) reference data to AI coding assistants, grounded in the official Second Life wiki with a curated database of AI-specific pitfalls.