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
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.
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.
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.
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().
Comprehensive documentation lifecycle management powered by an MCP server. Automates documentation creation, maintenance, quality assessment, and synchronization for software projects.
MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.