"OnePageCRM - A Simple Action-Focused CRM Software" matching MCP servers:

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.

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

Provides AI assistants with structured, read-only information about Noto CRM, including pricing, features, AI agent capabilities, competitor comparisons, and use cases, with bilingual French/English responses and no external dependencies.

Enables AI assistants to interact with PDF documentation files stored locally. Provides tools to list, read, search, and extract metadata from CRM API documentation PDFs through natural language queries.

Reads the Small Print record: what MCP servers, agent skills and plugins tell an AI agent, hashed every version and diffed between releases, each change graded by a printed rule, with public advisories joined by version. Three read-only tools; nothing is executed.

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.

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.

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

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

Enables agents to search and read public Ravensight documentation over unauthenticated remote HTTP, retrieving cited excerpts and Markdown sections with revision-aware pagination. Provides a browsable index of document IDs and sections, with read-only, free access that cannot touch customer studios or player data.

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.

A repo-native stdio MCP server that helps AI agents and human users make better use of existing CE-RISE Digital Passport components, services, schemas, documentation, and deployment workflows.

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.

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

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