Fal.ai MCP Server alternatives

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Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

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piapi-mcp-server

TypeScript-based MCP server for PiAPI media content generation

piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that connects with PiAPI to enable media generation workflows from MCP-compatible applications. It handles image, video, music, TTS, 3D, and voice generation tasks using a wide range of supported models like Midjourney, Flux, Kling, LumaLabs, Udio, and more. Designed for easy integration with clients such as Claude Desktop, it includes an interactive MCP Inspector for development, testing, and debugging.

62 23 MCP

3

@nanana-ai/mcp-server-nano-banana

MCP server for Nanana AI image generation using Gemini's nano banana model.

@nanana-ai/mcp-server-nano-banana serves as an MCP (Model Context Protocol) compatible server for facilitating image generation and transformation powered by the Gemini nano banana model. It enables clients like Claude Desktop to interact with Nanana AI, processing text prompts to generate images or transform existing images. The server can be easily configured with API tokens and integrated into desktop applications. Users can manage credentials, customize endpoints, and monitor credit usage seamlessly.

3 2 MCP

4

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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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

6

Vectara MCP Server

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.

25 8 MCP

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Amazon Bedrock MCP Server

Model Control Protocol server for AI image generation via Amazon Bedrock's Nova Canvas.

Amazon Bedrock MCP Server implements the Model Control Protocol to enable advanced AI image generation using Amazon's Nova Canvas model. It provides features like deterministic output through seed control, negative prompts, and configurable quality and image dimensions. Secure and flexible AWS credential management is supported, along with integration for Claude Desktop and robust input validation. The solution ensures high-quality, reproducible image generation workflows tailored for both developers and integrated applications.

22 12 MCP

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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.

11 4 MCP

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Creatify MCP Server

MCP server bringing Creatify AI's advanced video generation to every AI assistant.

Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that integrates Creatify AI's video generation platform with AI assistants, chatbots, and automation tools. It provides advanced capabilities such as natural language video creation prompts, progress tracking, structured logging, and reusable workflows through a standardized MCP interface. Built with TypeScript and leveraging the Creatify API, it exposes a wide range of powerful video generation and editing actions that can be controlled programmatically.

14 3 MCP

10

MCP Mermaid

AI-powered dynamic generation of Mermaid diagrams via the Model Context Protocol.

MCP Mermaid enables dynamic generation of Mermaid diagrams and charts using AI via the Model Context Protocol (MCP). It supports all features and syntax of Mermaid, and can export diagrams in various formats including SVG, base64, and files. The server can be run locally or globally using different transport protocols such as stdio, SSE, or streamable, making it compatible with tools like Claude, VSCode, and Smithery. It provides customization for background color and theme, and validates output to ensure correct syntax and graphics.

283 36 MCP

11

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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FHIR MCP Server

A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

34 5 MCP

13

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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mcp-confluent

MCP server for managing Confluent Cloud resources via natural language.

mcp-confluent is a Model Context Protocol (MCP) server implementation designed to enable natural language interaction with Confluent Cloud REST APIs. It integrates with AI tools such as Claude Desktop and Goose CLI, allowing users to manage Kafka topics, connectors, and Flink SQL statements conversationally. The project offers flexible configuration, CLI usage, and supports various transports for secure and customizable operations.

115 36 MCP

15

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.

26 3 MCP

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Mindmap MCP Server

Convert Markdown content into interactive mindmaps via an MCP-compliant server.

Mindmap MCP Server provides a Model Context Protocol (MCP) compatible service that transforms Markdown input into interactive mindmap visualizations. It supports command-line, Python, and Docker installation methods for flexibility across platforms. Designed to integrate with MCP clients like Claude Desktop, it ensures seamless Markdown-to-mindmap conversion using markmap under the hood. The server is intended for easy plug-and-play use in model-powered workflows that require structured, visual context formatting.

205 22 MCP

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Markdownify MCP Server

Convert diverse files and web content into Markdown via the Model Context Protocol.

Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

2,256 188 MCP

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dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

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Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

20

Stocky

Find beautiful royalty-free stock images across multiple providers in one search.

Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

14 7 MCP

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books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

5 2 MCP

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MCP Notify Server

Send desktop notifications with sound for completed agent/LLM tasks using the MCP protocol.

MCP Notify Server provides system desktop notifications and sound alerts when AI agent tasks or LLM jobs finish. Built on the standard Model Context Protocol, it is cross-platform and designed for smooth integration with clients like Claude Desktop, Cursor, and VSCode. This tool leverages the Apprise API for notification delivery and includes configuration details for easy adoption across popular AI/LLM development environments.

39 9 MCP

23

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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ACP to MCP Adapter

Bridge ACP Agents with MCP Applications Seamlessly

ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

30 5 MCP

25

Speech.sh

Command-line text-to-speech utility with MCP integration using OpenAI's API.

Speech.sh provides robust text-to-speech capabilities from the command line by leveraging OpenAI's API and offers Model Context Protocol (MCP) compatibility for integration with AI assistants. Supporting multiple voice options, adjustable speech speed, and both tts-1 and tts-1-hd models, it ensures seamless audio conversion and playback. Flexible API key management, auto-caching, and reliable retry logic make it suitable for diverse environments. Additional features include security-focused processing, dependency validation, and compatibility with both ffmpeg and mplayer audio players.

5 1 MCP

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Carbon Voice MCP Server

MCP server integration for Carbon Voice's conversational AI and voice messaging platform.

Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.

4 4 MCP

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YCloud WhatsApp API MCP Server

Bridge YCloud WhatsApp API to AI models via Model Context Protocol.

YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.

8 6 MCP

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memvid-mcp-server

A Streamable HTTP MCP Server for encoding and semantically searching video-based memory.

memvid-mcp-server provides a Model Context Protocol (MCP) compatible HTTP server that leverages memvid to encode text data into videos. It supports adding text chunks as video and performing semantic search over them using standardized MCP actions such as add_chunks and search. The server can be integrated with MCP clients via streamable HTTP and enables fast context retrieval for AI applications.

8 3 MCP

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ntfy-me-mcp

Send real-time notifications from AI assistants to your devices using ntfy and the Model Context Protocol.

ntfy-me-mcp implements a streamlined Model Context Protocol (MCP) server, enabling AI assistants to send real-time notifications to user devices through the ntfy service. It supports both public and self-hosted ntfy instances with token authentication, allowing integration into various AI workflows. The server automatically detects URLs for interactive actions and applies smart markdown formatting to craft rich notifications suitable for important events and task updates.

48 11 MCP

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OpenAPI-MCP

Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

150 31 MCP

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MCP Server Kubernetes

Connect and manage Kubernetes clusters via Model Context Protocol servers.

MCP Server Kubernetes enables seamless connection and management of Kubernetes clusters through the Model Context Protocol. It supports loading kubeconfig from multiple sources, integrates easily with Claude Code, Claude Desktop, and VS Code, and offers flexible authentication mechanisms. Users can control clusters using standard command-line tools and extension integrations for multiple environments.

1,181 194 MCP

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MCP K8S Go

Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

356 50 MCP

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MCP Rubber Duck

A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

56 7 MCP

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GIF Creator MCP

Convert videos to high-quality GIF animations via MCP.

GIF Creator MCP is a Model Context Protocol (MCP) server designed to convert video files into GIF animations. It allows users to customize output settings, such as frames per second, dimensions, and duration, and can extract specific portions of videos. The tool supports high-quality GIF generation and integrates with clients like Goose for easy extension. Video processing leverages FFmpeg and outputs GIFs with optimized palettes.

11 5 MCP

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Pix MCP Server

Generate static Pix QR codes via natural language through Model Context Protocol.

Pix MCP Server enables AI agents and tools to generate static Pix QR codes for payments using Model Context Protocol (MCP). It offers a secure, lightweight, and type-safe server that supports both stdio (MCP) and HTTP interfaces, requiring no external API dependencies. The implementation follows BACEN EMV 4.0 standards for Pix payments and is compatible with tools such as Claude Desktop, Cursor, and Windsurf. Configuration is straightforward, making it suitable for quick integration into MCP-supporting environments.

2 3 MCP

36

CentralMind Gateway

Create an API or MCP Server for structured databases in minutes.

CentralMind Gateway automatically generates secure, LLM-optimized APIs for structured databases and exposes them via REST, OpenAPI 3.1, or the Model Context Protocol (MCP), including Server-Sent Events (SSE) for AI agents. It integrates privacy protection, auditing, and authentication mechanisms to enable seamless and compliant data access for AI-powered applications. The tool supports multiple database backends and is optimized for AI workloads, providing enhanced metadata for improved context understanding.

500 62 MCP

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Infobip MCP Servers

Build AI agents that connect to Infobip services via the Model Context Protocol.

Infobip MCP Servers enable AI agents to interact with the Infobip platform using the Model Context Protocol (MCP), supporting communication across various channels like SMS, WhatsApp, Viber, and RCS. The project provides production-grade, remote MCP servers with streamable HTTP and SSE transport options, facilitating messaging, 2FA, customer data management, and user account control. Standardized endpoints and authentication options, including API keys and OAuth 2.1, ensure secure and scalable integration. Usage examples and configuration guides are included for popular agent frameworks.

20 2 MCP

38

joinly.ai

Enable AI agents to join and participate in your meetings.

joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.

393 48 MCP

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Kestra Python MCP Server

Run Kestra orchestrations with Model Context Protocol support via Docker.

Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

16 3 MCP

40

liveblocks-mcp-server

Enable AI models to interact with Liveblocks via standardized MCP server endpoints.

liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

11 8 MCP

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python-openstackmcp-server

MCP server enabling AI-powered OpenStack cloud management

python-openstackmcp-server implements the Model Context Protocol (MCP) to provide an interface for AI assistants to interact seamlessly with OpenStack cloud services. It supports the management of compute, image, identity, network, and block storage resources via the MCP standard, bridging the gap between AI clients and OpenStack APIs. The server connects to the OpenStack SDK and exposes capabilities such as authentication, configuration management, and resource operations for cloud environments.

15 6 MCP

42

Didlogic MCP Server

Standardized MCP interface for Didlogic API services

Didlogic MCP Server provides a Model Context Protocol-compliant server that enables Large Language Models to interact with Didlogic services through a standardized interface. It supports multiple transport modes, including STDIO, HTTP, and SSE, and offers tools for managing SIP accounts, balances, IP restrictions, and transaction histories. The server ensures secure API access via environment variables or bearer tokens and is easily configurable for LLM platforms, such as Claude.

3 5 MCP

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Apple Health MCP Server

Connect Apple Health data with any LLM using the Model Context Protocol.

Apple Health MCP Server enables users to import, parse, and analyze Apple Health data exports, seamlessly connecting them to large language models (LLMs) that support the Model Context Protocol. Built on the high-performance FastMCP framework, it supports natural language querying, trend analysis, and integration with databases like Elasticsearch, ClickHouse, and DuckDB. The project offers modular tools for data exploration, structure analysis, and automated statistics generation. Designed for flexibility and scalability, it is container-ready and provides extensive configuration options.

64 9 MCP

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MCP ECharts

Dynamically generate Apache ECharts visualizations via Model Context Protocol (MCP).

MCP ECharts enables dynamic generation of Apache ECharts visualizations through the Model Context Protocol, supporting interactions with AI models. It provides multiple transport options (stdio, SSE, streamable) and integrates with platforms like Claude, VSCode, and Smithery. The tool allows exporting charts in PNG, SVG, and option formats, with optional MinIO storage for enhanced sharing and performance. Featuring zero dependencies and local secure rendering, it is easily deployable and versatile for a range of visualization workflows.

153 29 MCP

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MaxMSP-MCP Server

Bridge LLMs with Max patches via Model Context Protocol

MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

106 12 MCP

46

Telephony MCP Server

MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.

Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.

12 3 MCP

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Telegram MCP Server

Full-featured Telegram integration for MCP-compatible clients using Telethon.

Telegram MCP Server enables programmatic interaction with Telegram through the Model Context Protocol (MCP). It allows automation of messaging, chat and group management, and other essential Telegram operations by exposing an extensive suite of tools via MCP. Designed for seamless integration with platforms like Claude and Cursor, the server is powered by Telethon and supports context-aware interactions with Telegram accounts.

448 125 MCP

48

VS Code MCP Server

Connect Claude and other MCP clients to code directly in VS Code.

VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

280 54 MCP

49

Kokoro Text to Speech MCP Server

Text-to-speech server with optional S3 storage, built for Model Context Protocol environments.

Kokoro Text to Speech MCP Server provides a text-to-speech API that generates MP3 audio files from text input, with support for multiple voices and speech parameters. It is designed for compatibility with Model Context Protocol (MCP), allowing for easy integration and configuration in MCP-based workflows. Generated audio files can be stored locally or uploaded to AWS S3, and the server includes client utilities for interaction, as well as configurable environment options for deployment. The solution leverages Hugging Face Kokoro-TTS models and supports both direct use and cloud-friendly workflows.

67 14 MCP

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NebulaBlock API MCP Server

Expose NebulaBlock API as tools for MCP-compatible environments

NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

1 2 MCP

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