Nostr MCP Server alternatives

1

NWC MCP Server

Bridge your Bitcoin Lightning wallet with LLMs using Nostr Wallet Connect.

NWC MCP Server enables users to connect Bitcoin Lightning wallets to language models through Nostr Wallet Connect (NWC) and NIP-47 protocols. It leverages the official Model Context Protocol (MCP) TypeScript SDK and supports various transport modes such as STDIO, HTTP streamable, and SSE. The solution can be integrated with platforms like N8N, Claude Desktop, Goose, and Cline, and allows authentication and context management using NWC connection secrets. Although now deprecated in favor of Alby MCP, it provides tooling for leveraging Lightning payment workflows within AI agent interactions.

12 6 MCP

2

Opik MCP Server

A unified Model Context Protocol server for Opik with multi-transport IDE integration.

Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

182 27 MCP

3

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

4

Alby Bitcoin Payments MCP Server

Connect Bitcoin Lightning wallets to LLMs using Nostr Wallet Connect within the Model Context Protocol framework.

Alby Bitcoin Payments MCP Server provides a way to integrate Bitcoin Lightning wallets with large language models (LLMs) via the Model Context Protocol (MCP). This server supports Nostr Wallet Connect (NWC), LNURL, and L402, enabling secure payment and authentication flows. Leveraging the official MCP TypeScript SDK along with Alby SDKs and tools, it allows agents and clients to interact with lightning wallets using various transport protocols like SSE and HTTP Streamable. The server can be integrated with tools such as Claude, Goose, and Cline for seamless wallet operations within AI workflows.

36 9 MCP

5

Bitcoin & Lightning Network MCP Server

Enable AI models to safely interact with Bitcoin and Lightning Network in a standardized way.

The Bitcoin & Lightning Network MCP Server implements the Model Context Protocol, allowing AI models to interface with Bitcoin and Lightning Network functionalities such as key generation, address validation, transaction decoding, blockchain queries, and lightning payments. It provides standardized endpoints for AI model integration, including support for Claude Desktop and Goose. The solution supports querying blockchain data, parsing transactions and invoices, and managing cryptographic operations in a secure and extensible manner.

65 17 MCP

6

Nocodb MCP Server

Natural language access and management for NocoDB using the Model Context Protocol.

Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.

54 22 MCP

7

LINE Bot MCP Server

MCP server connecting LINE Messaging API with AI agents

Provides a Model Context Protocol (MCP) server implementation for integrating AI agents with the LINE Messaging API. Enables sending text and flex messages, accessing user profiles, and managing features like rich menus via MCP-compatible endpoints. Designed for connecting AI-driven context management with LINE Official Accounts for experimental and production scenarios.

493 86 MCP

8

interactive-mcp

Enable interactive, local communication between LLMs and users via MCP.

interactive-mcp implements a Model Context Protocol (MCP) server in Node.js/TypeScript, allowing Large Language Models (LLMs) to interact directly with users on their local machine. It exposes tools for requesting user input, sending notifications, and managing persistent command-line chat sessions, facilitating real-time communication. Designed for integration with clients like Claude Desktop and VS Code, it operates locally to access OS-level notifications and command prompts. The project is suited for interactive workflows where LLMs require user involvement or confirmation.

313 25 MCP

9

Slack MCP Server

A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.

Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.

903 136 MCP

10

Braintree MCP Server

Enables AI assistants to securely access and manage Braintree payment processing via MCP.

Braintree MCP Server implements the Model Context Protocol (MCP) to provide AI assistants with structured, direct access to PayPal Braintree's payment services. It supports both STDIO and Server-Sent Events (SSE) transports, facilitating integration with AI clients and standalone web-based deployments. The server allows execution of GraphQL queries against Braintree, supports multi-client access, and handles authentication through environment-based configuration. Designed for secure, extensible, and automated payment operations in AI-driven workflows.

3 3 MCP

11

Neo4j MCP Clients & Servers

Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

797 209 MCP

12

DoorDash MCP Server

Integrate DoorDash API with MCP-compatible AI clients.

DoorDash MCP Server enables seamless integration between the DoorDash API and Model Context Protocol (MCP) compatible clients such as Claude Desktop, Windsurf, and Cursor. It provides an easy setup process to compile and build the server using TypeScript and Node.js, offering users a JSON configuration to connect with MCP clients. The server supports API key configuration for secure access. Direct support and feedback channels are available for users requiring assistance.

14 4 MCP

13

Neon MCP Server

Natural language access to Neon Postgres databases via the Model Context Protocol.

Neon MCP Server provides a bridge between natural language requests and Neon Postgres databases through the Model Context Protocol (MCP). It enables users to manage database operations such as creating projects, running queries, and handling migrations by translating conversational commands into API calls. Designed for both local and remote setups, it enhances database accessibility for users with varying technical backgrounds. It prioritizes security, recommending use in local development and IDE integrations.

513 88 MCP

14

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

15

@f4ww4z/mcp-mysql-server

Standardized MySQL operations server for Model Context Protocol environments.

Provides a Model Context Protocol server that allows AI models to interact with MySQL databases through a standardized interface. Supports secure connection, prepared statements, and robust error handling. Enables models to connect, query, execute statements, list tables, and describe schema with simple commands. Designed for seamless integration with tools like Smithery and evaluation frameworks.

130 27 MCP

16

Open Feishu MCP Server

A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

66 9 MCP

17

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

18

CockroachDB MCP Server

Natural language interface for managing CockroachDB via MCP protocol

CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.

6 3 MCP

19

Postman MCP Server

MCP-compliant server providing full access to the Postman API.

Postman MCP Server is a TypeScript-based implementation of an MCP server that offers extensive integration with the Postman API. It enables management of Postman collections, environments, and APIs while supporting advanced features like authentication, webhooks, and enterprise controls. The project is part of the Model Context Protocol initiative and adheres to MCP standards for model context integration. Designed with developers in mind, it provides CRUD operations, version control, and seamless automation capabilities.

143 31 MCP

20

Markmap MCP Server

Convert Markdown to interactive mind maps via the Model Context Protocol.

Markmap MCP Server enables seamless conversion of Markdown content into interactive mind maps using the Model Context Protocol (MCP). It leverages the open-source markmap project and provides users with diverse export formats including PNG, JPG, and SVG. Designed for easy integration with MCP clients, it offers tools for automated browser previews, rich interactivity, and batch mind map generation. The server can be installed easily via npm or Smithery and supports configurable output directories.

137 22 MCP

21

Crypto Sentiment MCP Server

AI-accessible crypto sentiment data powered by Santiment.

Delivers cryptocurrency sentiment analysis, social volume metrics, trending topics, and social dominance statistics to AI agents via the Model Context Protocol. Provides standardized APIs for retrieving market mood, tracking trending words, and monitoring significant shifts in online discussions about crypto assets. Integrates with Santiment to leverage aggregated data from social media and news sources for in-depth market insights.

40 16 MCP

22

MCP-Twikit

A Model Context Protocol server for Twitter search and interaction.

MCP-Twikit is an MCP-compliant server that enables interaction with the Twitter platform via the Model Context Protocol. It supports functions such as searching tweets, analyzing sentiments across accounts, and retrieving a user's Twitter timeline. The tool is designed for integration with AI clients to facilitate structured, context-aware access to Twitter data.

211 27 MCP

23

ntfy-mcp

Task completion notifications for AI assistants via ntfy.

ntfy-mcp integrates with the Model Context Protocol to provide real-time notifications via ntfy when AI assistants complete tasks. It serves as an MCP server, keeping users informed without needing to constantly monitor progress. The application supports flexible configuration, is built in Node.js, and works seamlessly with the ntfy mobile app for simple, customizable push alerts.

43 4 MCP

24

Twitter MCP Server

Programmatic Twitter account management via an MCP-compliant server.

Twitter MCP Server enables programmatic management of Twitter accounts with features such as retrieving home timelines, fetching user tweets, conducting hashtag searches, handling direct messages, and performing tweet creation or deletion. The server appears designed for integration into multi-channel platforms following the Model Context Protocol. It requires Python 3.11+, utilizes environment configuration for credentials, and offers an API-driven interface for various Twitter operations.

47 11 MCP

25

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

26

JSR MCP

A Model Context Protocol server enabling full JSR registry access and LLM integration.

JSR MCP provides a Model Context Protocol (MCP) server designed for robust interaction with the JSR (JavaScript Registry) via Deno. It enables large language models (LLMs) to search, retrieve, and manage JavaScript packages, scopes, users, and registry metadata. The server exposes 40 comprehensive tools for operations such as searching packages, managing versions, handling scopes and permissions, and accessing authentication-secured functionality. Ideal for integrating JSR operations into automated systems or AI model workflows.

0 1 MCP

27

Prisma MCP

Bridging LLMs and databases through standardized API protocols

Prisma MCP provides local and remote MCP servers that enable large language models (LLMs) to access and manage Prisma Postgres databases using the Model Context Protocol. It exposes a suite of structured tools for database operations like creation, backup, recovery, introspection, and executing SQL queries. The platform enables secure, permissioned interactions and integrates seamlessly with development workflows and AI platforms.

32 2 MCP

28

Sonos TypeScript MCP Server

Seamless Sonos control and context integration for AI-driven automation.

Sonos TypeScript MCP Server offers real-time, intelligent control over Sonos audio devices using the Model Context Protocol. It enables AI assistants and coding agents to manage playback, zones, music libraries, alarms, and device groups over local networks via UPnP/SOAP. The server is designed for integration into AI-driven workflows and supports standardized MCP I/O. Real-time event subscriptions and device discovery provide up-to-date context and actionable capabilities for smart home audio environments.

3 1 MCP

29

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

30

OpenLink MCP Server for ODBC

MCP-compatible ODBC server enabling LLMs to access diverse databases.

OpenLink MCP Server for ODBC provides a TypeScript-based server that implements the Model Context Protocol (MCP), facilitating seamless access for Large Language Models to ODBC-accessible data sources. Built on top of node-odbc, it enables actions such as schema and table discovery, SQL query execution, and database introspection. The server supports a wide range of ODBC drivers and robust environment configuration, making it adaptable to multiple database backends and use cases. By leveraging the MCP standard, it simplifies and standardizes how LLMs interface with structured data via ODBC.

9 5 MCP

31

NS Travel Information MCP Server

Connects AI assistants to real-time Dutch train data.

Provides an MCP server enabling AI assistants, such as Claude, to access and deliver real-time travel information from Nederlandse Spoorwegen (NS). Supports installation via NPM, Smithery, or from source, and requires an NS API key for operation. Offers endpoints for live train departures, arrivals, disruptions, alternative routes, station facilities, and ticket pricing. Designed to integrate seamlessly with AI platforms for enhanced Dutch railway expertise.

43 12 MCP

32

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

33

@davewind/mysql-mcp-server

Read-only Model Context Protocol server for secure MySQL access with LLM integration.

Provides a Model Context Protocol-compliant server offering read-only access to MySQL databases, enabling LLMs to inspect schemas and execute SELECT queries. Enforces strict SQL validation to allow only read-only operations and exposes table schema information in JSON format. Communication occurs over JSON-RPC via stdio to ensure compatibility with LLM systems. Features simple configuration, automatic schema discovery, and robust security measures.

11 4 MCP

34

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

35

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

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

37

iMessage Query MCP Server

Securely query and analyze your iMessage history with LLMs using the Model Context Protocol.

iMessage Query MCP Server is an MCP-compliant server that provides safe access to the macOS iMessage database for Large Language Models (LLMs). Built with the FastMCP framework and imessagedb library, it enables querying, validation, and analysis of iMessage conversations, complete with proper phone number handling and permissions management. The tool integrates seamlessly with MCP clients such as Claude Desktop and CLine for VSCode, allowing for controlled retrieval of chat histories via standardized protocols. Enhanced security features and automated dependency management ensure a smooth and safe user experience.

71 13 MCP

38

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

39

Strava MCP Server

Integrate Strava OAuth with a cloud-based Model Context Protocol server.

Provides a Model Context Protocol (MCP) server that enables users to connect via Strava OAuth, backed by Cloudflare Workers for remote context protocol handling. It acts both as an OAuth server for MCP clients and an OAuth client for Strava, supporting secure authentication, persistent state management, and seamless integration for connecting model context tools. Serves as a reference example for deploying MCP servers that integrate third-party OAuth providers like Strava.

21 2 MCP

40

MCP Server Chart

A Model Context Protocol server for generating and analyzing charts using AntV.

MCP Server Chart enables chart generation and data analysis through the Model Context Protocol. Built with TypeScript and leveraging AntV, it offers over 25 types of charts accessible via MCP tools. The server supports seamless integration with visualization platforms like Dify and provides features such as private deployment, configurable toolsets, and CLI options.

3,141 299 MCP

41

MCP Teams Server

Model Context Protocol server implementation for Microsoft Teams integration.

MCP Teams Server implements the Model Context Protocol (MCP) to enable integration with Microsoft Teams, allowing for reading, creating, and replying to messages as well as managing mentions and channel members. It offers seamless server capabilities that bridge MCP-compliant tools with Microsoft Teams environments. The solution supports message threading, user mentions, and team/channel context management, enhancing collaboration and automation in Teams. Pre-built Docker images and straightforward deployment options are provided.

331 27 MCP

42

iMessage MCP

MCP server enabling LLM integration with macOS iMessage data.

iMessage MCP offers a Model Context Protocol (MCP) server that facilitates seamless integration between large language models (LLMs) and macOS iMessage data. It provides robust tools for searching and managing iMessage messages, conversations, and contacts in a read-only manner. Features include message and contact search, chat listing, and context retrieval, making it suitable for conversational agents and context-aware applications. Built using Deno and designed for easy integration with applications such as Claude Desktop, it handles context management efficiently for AI models.

16 3 MCP

43

CallCenter.js MCP + CLI

An MCP server and CLI tool for automated phone calls via VoIP.

CallCenter.js MCP + CLI provides an MCP server, command-line tool, and TypeScript API that enable AI assistants like Claude to make phone calls on behalf of users using VoIP systems. It bridges OpenAI's Real-Time Voice API with SIP-compatible devices or services, supporting real-time voice interactions through standardized models. The tool allows direct control through MCP clients, CLI, or programmatic interfaces to automate and manage voice calls seamlessly. It supports multiple codecs and is compatible with popular VoIP hardware and services.

12 4 MCP

44

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

45

melrose-mcp

An MCP server for generating and playing programmable music via Melrōse.

melrose-mcp is a Model Context Protocol (MCP) server that enables users to compose and perform music using the Melrōse programming language. It facilitates communication between AI models and the Melrōse tool, allowing for dynamic manipulation of tempo, playback, and MIDI configuration. The project supports various tools for controlling musical expression and can be integrated into client applications such as Claude Desktop.

7 3 MCP

46

Query MCP server for Supabase

Open-source MCP server for secure and managed Supabase project operations.

Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.

811 99 MCP

47

Cal.com FastMCP Server

FastMCP server enabling LLMs to interact programmatically with the Cal.com API.

Cal.com FastMCP Server provides an implementation of the Model Context Protocol (MCP), enabling language models to programmatically interact with the Cal.com API. It offers a range of tools for managing event types, bookings, schedules, teams, users, and webhooks through a standardized FastMCP server. The system includes robust error handling and requires an API key for authentication.

13 8 MCP

48

Time Node MCP Server

Timezone-aware date and time operations for AI assistants and applications.

Time Node MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide accurate, timezone-aware date and time operations. It exposes tools for retrieving and converting times across IANA timezones, detecting system timezone, and offering outputs in multiple formats. The server ensures correct handling of Daylight Saving Time transitions and supports integration with AI assistants like Claude Desktop.

0 4 MCP

49

tip.md x402 + CDP MCP Server

Enables AI agents to facilitate crypto tipping with x402 payment collection and CDP disbursement.

tip.md x402 + CDP MCP Server transforms any AI agent into a payment-enabled tipping agent by integrating x402 payment collection with automatic CDP disbursement. It provides a suite of 7 MCP-compatible tools for managing crypto tipping, wallet operations, and payment flows across multiple blockchains. The server supports direct-to-wallet transactions with transparent fees and composability for various AI workflows. Designed to work seamlessly with AI agents and MCP clients, it simplifies the process of sending and managing tips in cryptocurrency.

9 4 MCP

50

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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