Bifrost - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Azure MCP Server

  Connect AI agents with Azure services through Model Context Protocol.

  Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

  1,178 351 MCP
• 2
  

  Webvizio MCP Server

  Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

  Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

  4 4 MCP
• 3
  

  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
• 4
  

  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
• 5
  

  Azure DevOps MCP Server

  Standardized AI access to Azure DevOps via Model Context Protocol.

  Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

  306 93 MCP
• 6
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 7
  

  Semgrep MCP Server

  A Model Context Protocol server powered by Semgrep for seamless code analysis integration.

  Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.

  611 54 MCP
• 8
  

  GXtract MCP Server

  MCP server for seamless GroundX platform integration with modern editors.

  GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

  1 3 MCP
• 9
  

  GitHub MCP Server

  Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

  GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

  24,418 2,997 MCP
• 10
  

  codemirror-mcp

  CodeMirror extension for Model Context Protocol resource mentions and prompt commands

  codemirror-mcp provides a CodeMirror extension that implements the Model Context Protocol (MCP) to enable resource mention handling and prompt command integration within code editors. It offers autocomplete, visual decorations, and interaction support for '@resource' mentions, as well as command triggers using the '/prompt' syntax. The extension integrates with model context servers using a defined transport and enhances the editor experience with resource click handling and customizable theming.

  78 3 MCP
• 11
  

  kibitz

  The coding agent for professionals with MCP integration.

  kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.

  104 14 MCP
• 12
  

  sentry-mcp

  Remote MCP middleware for developer workflow and debugging tools.

  sentry-mcp provides a remote Model Context Protocol server designed as middleware for Sentry's API, specifically optimized for human-in-the-loop coding agents and developer-oriented workflows. It enables integration with coding assistants like Cursor and Claude Code, offering both remote and stdio transports for varied environments, including self-hosted instances. The project also supports AI-powered search tools for querying events and issues, leveraging OpenAI API for natural language processing. Additionally, an Inspector tool is included for service testing and integration validation.

  424 51 MCP
• 13
  

  Last9 MCP Server

  Enables AI agents to access real-time production observability data for automated code fixes.

  Last9 MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration between AI agents and production observability data. It allows tools and agents to fetch live logs, metrics, traces, events, and alerts from Last9 systems, supporting a range of development environments and IDEs. This enables faster debugging, automated code fixes, and insightful context directly within local development workflows.

  46 8 MCP
• 14
  

  Unichat MCP Server

  Universal MCP server providing context-aware AI chat and code tools across major model vendors.

  Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

  37 10 MCP
• 15
  

  Inspektor Gadget MCP Server

  AI-powered Kubernetes troubleshooting via Model Context Protocol.

  Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

  16 1 MCP
• 16
  

  Maven Tools MCP Server

  Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.

  Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.

  14 2 MCP
• 17
  

  In Memoria

  Persistent memory and instant context for AI coding assistants, integrated via MCP.

  In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

  94 17 MCP
• 18
  

  Mem0 MCP Server

  Structured management of coding preferences using Mem0 and Model Context Protocol.

  Mem0 MCP Server implements a Model Context Protocol-compliant server for storing, retrieving, and searching coding preferences. It integrates with Mem0 and offers tools for persistent management of code snippets, best practices, and technical documentation. The server exposes an SSE endpoint for clients like Cursor, enabling seamless access and interaction with coding context data.

  506 104 MCP
• 19
  

  Taskade MCP

  Tools and server for Model Context Protocol workflows and agent integration

  Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

  90 20 MCP
• 20
  

  Weblate MCP Server

  Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.

  Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.

  9 5 MCP
• 21
  

  Lucidity MCP

  Intelligent prompt-based code quality analysis for AI coding assistants.

  Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

  72 20 MCP
• 22
  

  MCP-Typescribe

  An MCP server for serving TypeScript API context to language models.

  MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

  45 6 MCP
• 23
  

  Hive Intelligence MCP Server

  Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

  Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

  7 5 MCP
• 24
  

  Biel.ai MCP Server

  Seamlessly connect IDEs to your company’s product documentation using an MCP server.

  Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

  2 2 MCP
• 25
  

  Godot MCP

  A Model Context Protocol (MCP) server implementation using Godot and Node.js.

  Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

  1,071 124 MCP
• 26
  

  Codex MCP Server

  An MCP-compatible server delivering enriched blockchain data for AI models.

  Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

  20 4 MCP
• 27
  

  AtomGit MCP Server

  AI-powered management and automation of AtomGit repositories via the Model Context Protocol.

  AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

  7 4 MCP
• 28
  

  MCP Miro Server

  Miro board integration for AI assistants via Model Context Protocol.

  MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.

  57 16 MCP
• 29
  

  Code Declaration Lookup MCP Server

  Fast, language-agnostic code declaration search and lookup server via MCP.

  Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

  2 1 MCP
• 30
  

  Context7 MCP

  Up-to-date code docs for every AI prompt.

  Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

  36,881 1,825 MCP
• 31
  

  Brave Search MCP Server

  MCP integration for web, image, news, video, and local search via Brave Search API.

  Implements a Model Context Protocol server that connects with the Brave Search API, enabling AI systems to perform comprehensive web, image, news, video, and local points of interest searches. Provides standardized MCP tools for various search types, each supporting advanced filtering parameters. Designed for easy integration in context-aware model interfaces such as Claude Code.

  86 17 MCP
• 32
  

  Enrichr MCP Server

  Gene set enrichment analysis server for LLMs via the Model Context Protocol

  Enrichr MCP Server provides gene set enrichment analysis using the Enrichr API, supporting all available gene set libraries. It is designed to integrate with LLM tools through the Model Context Protocol and returns only statistically significant results. The tool allows queries across multiple biological, disease, tissue, drug, and pathway gene set libraries, with customizable configuration for popular or specific libraries. Installation and integration is streamlined for platforms like Claude Desktop, Cursor, and VS Code.

  7 3 MCP
• 33
  

  GhidrAssistMCP

  Bringing Model Context Protocol server connectivity to Ghidra for AI-assisted reverse engineering.

  GhidrAssistMCP is a Ghidra extension providing a Model Context Protocol (MCP) server that allows AI assistants and other tools to interact programmatically with Ghidra's reverse engineering platform. It offers a standardized API for querying program data, managing tool interactions, and enabling real-time analysis features. The extension features a configurable UI, built-in logging, and dynamic management of 31 specialized analysis tools.

  337 19 MCP
• 34
  

  Defang

  Develop Once, Deploy Anywhere.

  Defang provides a command-line interface (CLI) and Model Context Protocol (MCP) Server that enable seamless deployment of applications from local development environments to the cloud. It supports integration with popular IDEs such as VS Code, Cursor, Windsurf, and Claude, allowing users to manage and deploy their workflows efficiently. Defang delivers secure, scalable deployments with built-in support for Docker Compose and Pulumi, and offers samples for Golang, Python, and Node.js projects. Its AI-powered features enable developers to generate and launch cloud services effortlessly.

  144 20 MCP
• 35
  

  Twelve Data MCP Server

  Seamless AI-powered access to financial market data via the Twelve Data API.

  Twelve Data MCP Server provides a Model Context Protocol-compliant server for integrating and accessing Twelve Data’s financial market API. It enables users and AI agents to retrieve historical data, real-time quotes, and instrument metadata for stocks, forex, and crypto using natural language or endpoint calls. The system leverages AI-driven routing, including OpenAI GPT-4o, to intelligently map plain English queries to relevant API endpoints for structured or conversational workflows. Integration options are available for platforms like Claude Desktop and VS Code, with flexible local or remote deployment.

  43 14 MCP
• 36
  

  Crypto Indicators MCP Server

  Technical analysis indicators and strategies for AI trading via the Model Context Protocol.

  Crypto Indicators MCP Server provides over 50 cryptocurrency technical analysis indicators and quantitative trading strategies through an MCP-compliant server interface. The tool is designed for AI trading agents and can integrate seamlessly with platforms like Claude Desktop. It offers support for multiple exchanges via CCXT, modular design for easy maintenance, and outputs actionable trading signals based on market trends.

  91 39 MCP
• 37
  

  Binary Ninja MCP

  Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

  Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

  112 35 MCP
• 38
  

  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.

  24 3 MCP
• 39
  

  Gitingest-MCP

  An MCP server for extracting GitHub repository summaries, structure, and file content.

  Gitingest-MCP serves as a Model Context Protocol (MCP) server compatible with context-aware AI tools. It enables MCP clients such as Claude Desktop, Cline, Cursor, and others to quickly and efficiently extract key information from GitHub repositories, including summaries, the directory tree, and individual file contents. It supports installation via Smithery or manual configuration and is designed for seamless integration into the MCP client ecosystem. Documentation provides guidance on installation, configuration, and debugging.

  131 25 MCP
• 40
  

  YAMCP

  Unified management and orchestration of Model Context Protocol servers via a local gateway workspace.

  YAMCP is a command-line tool that enables organizing and managing multiple MCP (Model Context Protocol) servers as unified workspaces. It allows users to connect to various local or remote MCP servers, group them by functionality or application, and expose them as a single MCP server gateway for AI applications. The tool simplifies monitoring and debugging by centralizing server communication logs and provides workspace management and runtime control. YAMCP facilitates seamless integration with AI applications by providing a consolidated configuration and context management interface.

  57 9 MCP
• 41
  

  Linked API MCP

  Connect LinkedIn to AI assistants for automated engagement and research.

  Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.

  23 5 MCP
• 42
  

  LLM Context

  Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

  LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

  283 26 MCP
• 43
  

  Brave Search MCP Server

  MCP-compliant server providing advanced Brave Search API tools via STDIO and HTTP.

  Implements a Model Context Protocol (MCP) server for integrating with the Brave Search API, offering tools for web, local business, image, video, and news searches along with AI-powered summarization. Supports both STDIO and HTTP transports and adheres to established MCP conventions for context management. Provides structured tool schemas and customizable parameters to handle sophisticated search queries and results. Enables advanced filtering, multi-type result aggregation, and seamless integration for AI model workflows.

  337 71 MCP
• 44
  

  BoldSign MCP Server

  Bridge Large Language Models with BoldSign's e-signature API via the Model Context Protocol.

  BoldSign MCP Server enables interaction between Large Language Models (LLMs) and the BoldSign API using the Model Context Protocol (MCP). It allows LLMs to manage templates and documents for e-signature workflows as autonomous agents connected to external systems. The server can be seamlessly integrated with various MCP-compatible clients such as Cursor, VS Code, Windsurf, and Claude Desktop. Configuration is made easy through standard environment variables and client-specific setup instructions.

  3 6 MCP
• 45
  

  MCP Swagger Server (mss)

  Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

  MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

  38 8 MCP
• 46
  

  IPLocate MCP Server

  Comprehensive IP address geolocation and network intelligence via MCP.

  Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.

  11 5 MCP
• 47
  

  mcpxcodebuild

  Build and test iOS Xcode projects via the Model Context Protocol server.

  mcpxcodebuild is a Model Context Protocol server that enables building and testing iOS Xcode workspace and project files. It facilitates seamless integration with Visual Studio Code extensions such as Cline or Roo Code, allowing remote build and test operations via standardized MCP tools. The tool can be installed using pip or uv and is easily configurable for use with platforms like Claude.app.

  76 9 MCP
• 48
  

  Mifos MCP - Model Context Protocol (MCP)

  Enabling AI agents to access and operate on financial data in the Mifos X ecosystem using Model Context Protocol.

  Mifos MCP provides a Model Context Protocol (MCP) interface tailored for the Mifos X ecosystem, empowering AI agents to interact with financial data and perform operations within the platform. It offers a Java (Quarkus) implementation, with easy configurability via environment variables and native executable support. Developers can test and debug deployments with the MCP Inspector, and detailed instructions ensure smooth setup and integration. Comprehensive examples demonstrate practical banking and financial automation workflows.

  17 12 MCP
• 49
  

  Marketaux MCP Server

  MCP server integrating Marketaux news search API for contextual information retrieval.

  Marketaux MCP Server implements a Model Context Protocol (MCP) server that connects to the Marketaux news API, enabling contextual search based on entities, countries, industries, and symbols. It provides a standardized interface for AI models to retrieve news content relevant to various input parameters using the Marketaux API. The tool supports configurable options such as symbols, industries, language, and publication timestamps, delivering dynamic news search results. Environment configuration is enabled through API keys and customizable server setup.

  4 4 MCP
• 50
  

  Stadia Maps MCP Server (TypeScript)

  Bringing location services, geocoding, and mapping to AI assistants via Stadia Maps APIs.

  Stadia Maps MCP Server (TypeScript) implements the Model Context Protocol to provide LLM-based assistants with structured access to Stadia Maps APIs. It enables AI tools to query for geocoding, routing, time zones, map generation, and isochrone calculations. Designed for integration with agentic tools and LLMs, the server enhances spatial intelligence and location-based features in AI workflows.

  18 5 MCP