Vectara MCP Server - Alternatives & Competitors
Secure RAG server enabling seamless AI integration via Model Context Protocol.
Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.
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mcp-local-rag
Local RAG server for web search and context injection using Model Context Protocol.
mcp-local-rag is a local server implementing the Model Context Protocol (MCP) to provide retrieval-augmented generation (RAG) capabilities. It performs live web search, extracts relevant context using Google's MediaPipe Text Embedder, and supplies the information to large language models (LLMs) for enhanced, up-to-date responses. The tool is designed for easy local deployment, requiring no external APIs, and is compatible with multiple MCP clients. Security audits are available, and integration is demonstrated across several LLM platforms.
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RAD Security MCP Server
AI-powered security insights for Kubernetes and cloud environments via the Model Context Protocol.
RAD Security MCP Server is an implementation of the Model Context Protocol designed to deliver AI-powered security insights and operations for Kubernetes and cloud platforms. It serves as an MCP server for RAD Security, providing a range of toolkits for container, cluster, identity, audit, and threat management. The server is easily configurable via environment variables, allowing for flexible toolkit activation and authentication options. Multiple deployment options are supported, including Node.js, Docker, and integration with development environments like Cursor IDE and Claude Desktop.
5 5 MCP -
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Dappier MCP Server
Real-time web search and premium data access for AI agents via Model Context Protocol.
Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.
35 11 MCP -
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Lara Translate MCP Server
Context-aware translation server implementing the Model Context Protocol.
Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.
76 13 MCP -
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Exa MCP Server
Fast, efficient web and code context for AI coding assistants.
Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.
3,224 244 MCP -
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Driflyte MCP Server
Bridging AI assistants with deep, topic-aware knowledge from web and code sources.
Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.
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Intruder MCP
Enable AI agents to control Intruder.io via the Model Context Protocol.
Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.
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AgentQL MCP Server
MCP-compliant server for structured web data extraction using AgentQL.
AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.
120 28 MCP -
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Vectorize MCP Server
MCP server for advanced vector retrieval and text extraction with Vectorize integration.
Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.
97 21 MCP -
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MCP Server for TheHive
Connect AI-powered automation tools to TheHive incident response platform via MCP.
MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.
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Authenticator App MCP Server
Secure MCP server for AI-assisted access to 2FA codes and passwords.
Authenticator App MCP Server provides a secure Model Context Protocol (MCP) server enabling AI agents to interact with authentication credentials, such as 2FA codes and passwords. It facilitates automated login processes for AI assistants while maintaining robust security by requiring access tokens and integrating with the Authenticator App desktop client. This solution streamlines the management of user credentials across multiple platforms and websites, ensuring seamless and secure credential retrieval by AI agents.
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Thales CDSP CRDP MCP Server
MCP server enabling secure data protection and revelation with Thales CipherTrust CRDP
Thales CDSP CRDP MCP Server implements the Model Context Protocol (MCP) to allow AI applications and LLMs to securely protect and reveal sensitive data via Thales CipherTrust RestFul Data Protection (CRDP) service. The server supports both stdio and HTTP transports, individual and bulk data operations, and robust versioning support. Features include health checks, metrics collection, and integration with protection policies and JWT-based authorization.
2 3 MCP -
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FastMCP
TypeScript framework for building robust MCP servers with minimal setup.
FastMCP is a TypeScript framework designed for building servers that adhere to the Model Context Protocol (MCP), enabling efficient management of client sessions and context. It streamlines the creation of MCP servers by providing intuitive APIs, built-in authentication, session and request tracking, and support for handling various content types such as images and audio. The framework also enforces best practices around error handling, logging, and streaming outputs. Developers benefit from reduced boilerplate and a focus on core MCP functionality.
2,738 231 MCP -
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RAE Model Context Protocol (MCP) Server
An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.
Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.
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Macrocosmos MCP
Official Model Context Protocol server for real-time social and video data integration.
Macrocosmos MCP is the official server implementation of the Model Context Protocol (MCP). It connects AI clients with real-time data from platforms like X, Reddit, and YouTube, powered by Data Universe (SN13) on Bittensor. The server enables MCP-compatible clients to fetch social media and video transcript data for enhanced contextual understanding. It supports integration with tools such as Claude Desktop, Cursor, Windsurf, and OpenAI Agents.
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Perplexity MCP Server
MCP Server integration for accessing the Perplexity API with context-aware chat completion.
Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.
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attio-mcp-server
MCP server for enabling Attio CRM access via AI model context clients.
attio-mcp-server implements a Model Context Protocol (MCP) server that facilitates communication between MCP clients, such as Claude, and the Attio CRM API. It enables reading and writing company notes and records within Attio by leveraging a bearer token for authentication. Designed for Node.js, it provides streamlined integration with Attio for applications utilizing AI-driven model context protocols.
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Daisys MCP server
A beta server implementation for the Model Context Protocol supporting audio context with Daisys integration.
Daisys MCP server provides a beta implementation of the Model Context Protocol (MCP), enabling seamless integration between the Daisys AI platform and various MCP clients. It allows users to connect MCP-compatible clients to Daisys by configurable authentication and environment settings, with out-of-the-box support for audio file storage and playback. The server is designed to be extensible, including support for both user-level deployments and developer contributions, with best practices for secure authentication and dependency management.
10 5 MCP -
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Yandex Tracker MCP Server
A Model Context Protocol server for secure and flexible integration with Yandex Tracker APIs.
Yandex Tracker MCP Server enables AI assistants to securely interact with Yandex Tracker APIs by providing authenticated access to issues, queues, comments, worklogs, and more. It supports advanced query capabilities, optional Redis caching for enhanced performance, and multiple transport options including HTTP and stdio. The server features OAuth 2.0 authentication, granular security controls, and can be seamlessly integrated as an extension in various AI clients, such as Claude Desktop.
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QR Code Generation MCP Server
Generate customizable QR codes from text via an MCP-compliant server.
Provides a server for generating QR codes from text input using the Model Context Protocol (MCP), supporting multiple transport modes such as STDIO, HTTP, and SSE. Allows customization of QR code appearance with options for color, style, and encoding settings. Outputs QR codes as base64 strings for easy integration or direct use in applications. Designed for compatibility with platforms like Claude Desktop and deployments using Docker or direct Python API usage.
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ROADrecon MCP Server
Expose ROADRecon Azure AD data to AI assistants for advanced security analysis.
ROADrecon MCP Server implements the Model Context Protocol to provide seamless access to Azure AD data from ROADRecon instances for AI assistants like Claude. It enables secure retrieval and analysis of directory data, offers pre-built security analysis tools, and supplies prompt templates for common security tasks. The server facilitates structured data access and tool execution, streamlining organizational security reviews.
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Kagi MCP Server
Integrate Kagi Search and Summarization as Model Context Protocol tools.
Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.
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ArXiv MCP Server
Seamless AI access to arXiv papers via MCP interface
ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.
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Wazuh MCP Server
Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.
Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.
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MCP-searxng
MCP server bridging agentic systems with SearXNG web search
MCP-searxng enables agentic systems to interface with web search engines via the SearXNG platform by implementing the Model Context Protocol. It supports both command-line and local server deployment, providing flexible integration options. Users can configure custom SearXNG server URLs and connect through clients like uvx or claude desktop. The tool simplifies access to structured web search within agentic workflows.
107 19 MCP -
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youtube_mcp
YouTube transcription server with Model Context Protocol integration.
youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.
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kagi-server MCP Server
TypeScript-based MCP server for Kagi Search API integration.
Kagi-server MCP Server provides a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with the Kagi Search API. It enables standardized tool access for performing web searches and plans for features like summarization, FastGPT integration, and enriched news results. Compatible with Claude Desktop and Smithery installations, it supports secure environment configuration and offers developer utilities such as automatic build and debugging via MCP Inspector.
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WebScraping.AI MCP Server
MCP server for advanced web scraping and AI-driven data extraction
WebScraping.AI MCP Server implements the Model Context Protocol to provide web data extraction and question answering functionalities. It integrates with WebScraping.AI to offer robust tools for retrieving, rendering, and parsing web content, including structured data and natural language answers from web pages. It supports JavaScript rendering, proxy management, device emulation, and custom extraction configurations, making it suitable for both individual and team deployments in AI-assisted workflows.
33 13 MCP -
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mcp-server-rabbitmq
RabbitMQ Reference Implementation for the Model Context Protocol (MCP)
Implements a server for the Model Context Protocol (MCP) using RabbitMQ as the messaging backend. Provides a standardized approach for handling model context, enabling scalable and efficient context management for AI applications. The project has been migrated to the official Amazon MQ repository.
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mcp-national-rail
Access live National Rail train data via MCP for AI agents.
mcp-national-rail is a Model Context Protocol (MCP) server designed to enable AI agents to retrieve real-time and scheduled train information from National Rail using the Realtime Trains API. It facilitates live and historical lookups of departures and arrivals by exposing a set of tools through a standardized MCP interface. The server can be installed via Smithery or manually and configured for use with AI clients like Claude Desktop. Secure authentication with the Realtime Trains API is supported through user-provided credentials.
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MCP Server for the RAG Web Browser Actor
Local MCP server enabling LLMs to browse and extract web content via RAG Web Browser integration.
Implements a Model Context Protocol (MCP) server designed for integration with LLMs and Retrieval-Augmented Generation (RAG) pipelines, providing automated web search and web page extraction capabilities. Runs locally and interacts with the RAG Web Browser Actor in Standby mode, responding to queries by fetching, scraping, and returning cleaned content from the web as Markdown. Supports Google Search queries and direct URL fetching through a standardized 'search' tool interface, offering multiple output formats and programmable arguments. Deprecated in favor of mcp.apify.com but illustrates MCP server use for local web browsing integrations.
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ghidraMCP
MCP server enabling LLMs to autonomously reverse engineer binaries via Ghidra.
ghidraMCP acts as a Model Context Protocol (MCP) server, exposing core Ghidra reverse engineering functionality for use by large language models. It enables model clients to perform actions such as decompilation, binary analysis, and automated renaming of methods and data. The system integrates as both a Ghidra plugin and a Python MCP server, supporting interoperability with various MCP-compliant clients. By bridging Ghidra and MCP, it allows autonomous or semi-autonomous analysis of compiled application binaries.
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Volatility MCP
AI-assisted memory forensics via standardized APIs and MCP clients
Volatility MCP integrates the Volatility 3 framework for memory image analysis with a FastAPI backend, exposing forensic plugins as RESTful APIs. Featuring Model Context Protocol (MCP) support, it enables seamless interaction with AI assistants like Claude Desktop for advanced memory forensics. The platform connects memory artifacts to AI or web applications, offering natural language driven analysis and automation. Designed for security analysts and forensic professionals, it supports key Volatility plugins such as pslist and netscan.
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DuckDuckGo Search MCP Server
A Model Context Protocol server for DuckDuckGo web search and intelligent content retrieval.
DuckDuckGo Search MCP Server provides web search capabilities through DuckDuckGo, with advanced content fetching and parsing tailored for large language models. It supports rate limiting, error handling, and delivers results in an LLM-friendly format. The server is designed for seamless integration with AI applications and tools like Claude Desktop, enabling enhanced web search and content extraction through the Model Context Protocol.
637 118 MCP -
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SearXNG MCP Server
MCP-compliant server integrating the SearXNG API for advanced web search capabilities
SearXNG MCP Server implements the Model Context Protocol and integrates the SearXNG API to provide extensive web search functionalities. It features intelligent caching, advanced content extraction, and multiple configurable search parameters such as language, time range, and safe search levels. The server exposes tools for both web searching and URL content reading, supporting detailed output customization through input parameters. Designed for seamless MCP deployments, it supports Docker and NPX-based installation with rich configuration options.
321 56 MCP -
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Aviationstack MCP Server
MCP server offering comprehensive endpoints for aviation and flight data.
Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.
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Bing Search MCP Server
MCP server enabling Bing-powered web, news, and image search for AI assistants.
Bing Search MCP Server provides a Model Context Protocol (MCP) compliant interface for integrating Microsoft Bing Search API capabilities with AI assistants. The server allows AI clients to perform web, news, and image searches programmatically, with features like rate limiting and comprehensive error handling. Designed for easy deployment, it supports integration with clients such as Claude Desktop and Cursor for enhanced search access. Secure configuration via environment variables enables safe use of API keys.
65 7 MCP -
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Vibe Check MCP
Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.
Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.
315 36 MCP -
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PDF Tools MCP
Comprehensive PDF manipulation via MCP protocol.
PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.
31 8 MCP -
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HackMD MCP Server
MCP server connecting LLM clients to the HackMD collaborative note platform.
HackMD MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface between large language model (LLM) clients and the HackMD collaborative note service. Through HTTP and STDIO transports, it enables creation, retrieval, update, and deletion of notes, along with management of teams, user profiles, and history data. It supports deployment in both local and cloud environments, with secure API token-based authentication and configuration via environment variables or HTTP headers.
43 7 MCP -
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mcp-hfspace
Seamlessly connect and enable Hugging Face Spaces as Model Context Protocol (MCP) services.
mcp-hfspace allows users to connect Hugging Face Spaces with minimal setup, enabling these spaces as MCP-compatible endpoints for tools like Claude Desktop. It facilitates automatic configuration, efficient file handling, support for private spaces, and flexible working directory management. The project supports Image Generation, Vision, and Text-to-Speech models, operating in Claude Desktop mode for streamlined file and image interaction.
366 58 MCP -
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Tripadvisor MCP Server
Standardized MCP access to Tripadvisor travel data for AI assistants
Tripadvisor MCP Server provides Model Context Protocol (MCP) compliant access to Tripadvisor's Content API, enabling AI assistants to search, retrieve, and present travel-related information in a standardized way. It features endpoints for searching locations, accessing detailed information, reviews, and photos, as well as secure API key authentication. The project supports Docker containerization and interactive tools for customizable AI integration.
47 11 MCP -
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MCP Jira Server for Claude Code
A full-featured Model Context Protocol server for integrating Jira with Claude Code.
Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.
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Oura MCP Server
Enables language models to access Oura sleep, readiness, and resilience data via MCP.
Oura MCP Server implements the Model Context Protocol to provide language models with access to Oura API data. It allows querying of sleep, readiness, and resilience metrics for specified date ranges or for the current day. The server supports integration with tools like Claude for Desktop and handles API authentication and error scenarios gracefully. Designed for seamless access to personal health metrics through standardized protocol endpoints.
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MCP Simple PubMed
AI-accessible PubMed server with structured XML output
MCP Simple PubMed is a server implementing the Model Context Protocol (MCP) that enables AI models to access PubMed articles via the Entrez API. It provides capabilities for searching the PubMed database, retrieving article abstracts, and downloading full text for open access articles. The server returns articles in an XML format optimized for AI consumption, preserving document structure. Installation is available via Smithery or pip, and integration with tools like Claude Desktop is supported.
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OSV MCP Server
SSE-based MCP server for querying the OSV vulnerability database
OSV MCP Server implements a Model Context Protocol (MCP) server that provides secure, programmatic access to the Open Source Vulnerabilities (OSV) database. It supports real-time streaming communication using SSE or streamable HTTP and allows querying of vulnerabilities for single or multiple packages, versions, or commits. The server is designed for integration with LLM-powered applications and supports configuration through environment variables and containerized deployments via ToolHive.
25 4 MCP -
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MCP Server Giphy
MCP-compatible Giphy API server for AI models to search and retrieve GIFs.
MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.
22 8 MCP -
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FastMCP LaTeX Server (tex-mcp)
A microservice for rendering LaTeX and templates to PDF via the Model Context Protocol.
FastMCP LaTeX Server is a microservice designed to render raw LaTeX or Jinja2 template documents and compile them into PDF files. It exposes a suite of five MCP-compatible tools for document rendering, template management, and artifact handling. The service can be run locally or integrated seamlessly with Claude Desktop, supporting both stdin/stdout MCP communication and HTTP-based transport. Output artifacts, including .tex and .pdf files, are generated in a dedicated directory, and a variety of ready-made templates are provided for easy customization.
4 2 MCP -
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Replicate Flux MCP
MCP-compatible server for high-quality image and SVG generation via Replicate models.
Replicate Flux MCP is an advanced Model Context Protocol (MCP) server designed to enable AI assistants to generate high-quality raster images and vector graphics. It leverages Replicate's Flux Schnell model for image synthesis and Recraft V3 SVG model for vector output, supporting seamless integration with AI platforms like Cursor, Claude Desktop, Smithery, and Glama.ai. Users can generate images and SVGs by simply providing natural language prompts, with support for parameter customization, batch processing, and variant creation.
66 14 MCP -
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TripGo MCP Server
Remote MCP server providing transport location, departure, and routing tools via the TripGo API.
TripGo MCP Server acts as a remote Model Context Protocol server that wraps the TripGo API, offering tools for retrieving transport-related locations, departures from transport stops, multi-modal trip planning, and trip URL retrieval. It is deployed on Cloudflare Workers and is accessible directly or via MCP-compatible clients such as Claude Desktop through the mcp-remote proxy. The server supports direct integration for context-aware transport queries and trip management, facilitating enhanced interactions with public transport data.
2 2 MCP
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