TeslaMate MCP Server - Alternatives & Competitors
Query your TeslaMate data using the Model Context Protocol
TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.
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mcp-graphql
Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.
mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.
319 54 MCP -
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Teamwork MCP Server
Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol
Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.
11 9 MCP -
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Yuque-MCP-Server
Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.
Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.
31 13 MCP -
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MCP-wolfram-alpha
An MCP server for querying the Wolfram Alpha API.
MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.
64 17 MCP -
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Kanboard MCP Server
MCP server for seamless AI integration with Kanboard project management.
Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.
15 4 MCP -
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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 -
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Shopify Storefront MCP Server
Seamless Shopify Storefront API access for AI assistants via Model Context Protocol
Enables AI assistants to interact with Shopify store data through standardized MCP tools. Offers endpoints for product discovery, inventory management, GraphQL queries, cart operations, and comprehensive customer data manipulation. Designed for easy integration with MCP-compatible AI and automated token handling. Simplifies secure connection to Shopify's Storefront API with minimal configuration.
5 5 MCP -
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Google Workspace MCP Server
Full natural language control of Google Workspace through the Model Context Protocol.
Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.
890 259 MCP -
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TickTick MCP
MCP server for AI-powered TickTick task management integration
TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.
6 6 MCP -
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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 -
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Model Context Protocol Server for Home Assistant
Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.
Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.
468 41 MCP -
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MCP Simple Timeserver
Provides local and UTC time to AI models via the Model Context Protocol.
MCP Simple Timeserver provides current local time, timezone, and UTC information to AI models such as Claude by serving as a Model Context Protocol (MCP) tool. It offers two main endpoints: one for retrieving the user's local time and timezone, and another for fetching the current UTC time from an NTP server. The project supports both local and web server deployments and can be integrated into the Claude desktop app to enhance temporal awareness for LLMs.
25 15 MCP -
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mcp-server-home-assistant
A Model Context Protocol Server integration for Home Assistant.
Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.
64 8 MCP -
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TickTick MCP Server
Enable powerful AI-driven task management for TickTick via the Model Context Protocol.
TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.
35 9 MCP -
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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.
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Perplexity MCP Server
MCP Server integration for accessing the Perplexity API with context-aware chat completion.
Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.
85 35 MCP -
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mcp-graphql-forge
Configuration-driven MCP server exposing modular GraphQL queries as tools.
mcp-graphql-forge provides a lightweight, easily configurable Model Context Protocol (MCP) server that transforms any GraphQL endpoint into a set of modular API tools. Tools, defined in YAML, specify GraphQL queries and parameters to enable curated interactions via a standardized protocol. Written in Go, it emphasizes modularity, security, and extensibility without requiring code changes, and offers ready-to-run binaries for all major platforms.
3 2 MCP -
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GitHub GraphQL MCP Server
A Model Context Protocol server for executing arbitrary GraphQL queries on GitHub's API.
GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.
9 4 MCP -
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Web3 MCP
A Model Context Protocol server for unified blockchain data access.
Web3 MCP is a Model Context Protocol server that provides access to blockchain data through Ankr's Advanced API. It allows large language models to interact seamlessly with multiple blockchain networks such as Ethereum, BSC, Polygon, and Avalanche. With support for NFT, token, and blockchain query APIs, it enables users and AI agents to retrieve on-chain data, statistics, and analytics efficiently within an MCP context.
3 1 MCP -
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mcp-time
A Model Context Protocol server for time and date operations
mcp-time is a Model Context Protocol (MCP) server that enables AI assistants and MCP clients to perform standardized time and date-related operations. It provides natural language parsing for relative time expressions, supports flexible formatting, and allows manipulation and comparison of times. The server offers multiple integration methods, including stdio, HTTP stream, Docker, and npx for compatibility with various clients. It is designed for robust time handling and easy integration with AI tools.
8 5 MCP -
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National Parks MCP Server
Real-time access to U.S. National Parks data via the Model Context Protocol.
Provides an MCP-compliant API server for real-time information on U.S. National Parks. Offers endpoints to query park details, alerts, activities, visitor centers, campgrounds, and events. Designed for easy integration with AI agents and tools that utilize the Model Context Protocol for context management.
35 13 MCP -
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Climatiq MCP Server
MCP server providing AI assistants with real-time carbon emissions calculations via Climatiq API.
Climatiq MCP Server implements the Model Context Protocol to bridge AI assistants with the Climatiq API for precise carbon emissions calculations. It exposes a set of tools for various emissions scenarios, including electricity use, travel, freight, and more. The server generates resource URIs for detailed emission reports and provides natural language explanations on climate impact. Configuration is streamlined via environment variables, CLI tools, or files, supporting easy integration with platforms like Claude Desktop.
6 8 MCP -
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attio-mcp-server
MCP server for enabling Attio CRM access via AI model context clients.
attio-mcp-server implements a Model Context Protocol (MCP) server that facilitates communication between MCP clients, such as Claude, and the Attio CRM API. It enables reading and writing company notes and records within Attio by leveraging a bearer token for authentication. Designed for Node.js, it provides streamlined integration with Attio for applications utilizing AI-driven model context protocols.
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RAE Model Context Protocol (MCP) Server
An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.
Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.
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Oura MCP Server
Enables language models to access Oura sleep, readiness, and resilience data via MCP.
Oura MCP Server implements the Model Context Protocol to provide language models with access to Oura API data. It allows querying of sleep, readiness, and resilience metrics for specified date ranges or for the current day. The server supports integration with tools like Claude for Desktop and handles API authentication and error scenarios gracefully. Designed for seamless access to personal health metrics through standardized protocol endpoints.
34 10 MCP -
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TripGo MCP Server
Remote MCP server providing transport location, departure, and routing tools via the TripGo API.
TripGo MCP Server acts as a remote Model Context Protocol server that wraps the TripGo API, offering tools for retrieving transport-related locations, departures from transport stops, multi-modal trip planning, and trip URL retrieval. It is deployed on Cloudflare Workers and is accessible directly or via MCP-compatible clients such as Claude Desktop through the mcp-remote proxy. The server supports direct integration for context-aware transport queries and trip management, facilitating enhanced interactions with public transport data.
2 2 MCP -
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GitHub Enterprise MCP Server
Expose GitHub Enterprise data through a Model Context Protocol server.
GitHub Enterprise MCP Server provides an MCP (Model Context Protocol) interface to integrate with GitHub Enterprise APIs, enabling standardized access to repository data, issues, pull requests, workflows, and user management. It is compatible with both GitHub Enterprise Server and GitHub.com environments and supports features like repository management, file browsing, and enterprise statistics. The platform is designed for seamless integration with tools such as Cursor, making it simple to interact with GitHub data programmatically or via MCP-compliant clients.
25 7 MCP -
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gqai
Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.
gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.
21 4 MCP -
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Bear MCP Server
MCP server for accessing and searching Bear Notes on macOS.
Bear MCP Server is an implementation of the Model Context Protocol that provides programmatic access to notes and tags stored in Bear Notes on macOS. It enables users to read, search, and list notes and tags via standardized MCP tools. The server connects to Bear's SQLite database and exposes essential commands for integration with AI models and workflows.
40 6 MCP -
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Tripadvisor MCP Server
Standardized MCP access to Tripadvisor travel data for AI assistants
Tripadvisor MCP Server provides Model Context Protocol (MCP) compliant access to Tripadvisor's Content API, enabling AI assistants to search, retrieve, and present travel-related information in a standardized way. It features endpoints for searching locations, accessing detailed information, reviews, and photos, as well as secure API key authentication. The project supports Docker containerization and interactive tools for customizable AI integration.
47 11 MCP -
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mcp-server-rabbitmq
RabbitMQ Reference Implementation for the Model Context Protocol (MCP)
Implements a server for the Model Context Protocol (MCP) using RabbitMQ as the messaging backend. Provides a standardized approach for handling model context, enabling scalable and efficient context management for AI applications. The project has been migrated to the official Amazon MQ repository.
40 10 MCP -
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Calculator MCP Server
Enables LLMs to perform precise numerical calculations via Model Context Protocol.
Calculator MCP Server provides a Model Context Protocol-compliant server which allows large language models to use calculator functionality for accurate numerical operations. It offers a single tool called 'calculate' for evaluating mathematical expressions that can be integrated into MCP ecosystems. Installation and configuration options are available via pip or uvx to support multiple client workflows. The server simplifies connecting LLMs to robust, external calculation capabilities for enhanced mathematical reasoning.
131 21 MCP -
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Kibela MCP Server
MCP server for seamless LLM integration with Kibela knowledge management.
Kibela MCP Server enables integration of Large Language Models (LLMs) with the Kibela note-sharing platform via the Model Context Protocol. It provides search, retrieval, and management of Kibela notes, users, groups, and folders, exposing these capabilities in a standardized MCP interface. The implementation utilizes Kibela's GraphQL API and supports configuration through environment variables and Docker. Designed for interoperability with tools like Cursor, it streamlines access and manipulation of organizational knowledge by AI systems.
7 6 MCP -
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TikTok MCP
Integrate TikTok video analysis and search into AI systems via the Model Context Protocol.
TikTok MCP enables integration of TikTok video access and analysis into AI applications such as Claude AI using the Model Context Protocol. It provides tools to extract subtitles, retrieve video details, and search TikTok content, facilitating contextual understanding for models. Built on Node.js and requiring a TikNeuron API key, it offers seamless connectivity between AI systems and TikTok's data. The tool supports retrieving metadata, engagement metrics, and advanced search with pagination capabilities.
112 18 MCP -
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mcp-national-rail
Access live National Rail train data via MCP for AI agents.
mcp-national-rail is a Model Context Protocol (MCP) server designed to enable AI agents to retrieve real-time and scheduled train information from National Rail using the Realtime Trains API. It facilitates live and historical lookups of departures and arrivals by exposing a set of tools through a standardized MCP interface. The server can be installed via Smithery or manually and configured for use with AI clients like Claude Desktop. Secure authentication with the Realtime Trains API is supported through user-provided credentials.
1 3 MCP -
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TaskWarrior MCP Server
MCP server for managing TaskWarrior tasks via a standardized protocol
Implements the Model Context Protocol (MCP) to provide a Node.js server interface for TaskWarrior operations. Allows viewing, filtering, adding, and completing tasks through a standardized API. Integrates with task management workflows by utilizing the local TaskWarrior client, supporting advanced task attributes like projects and tags. Enables seamless task manipulation for external tools such as Claude Desktop.
36 8 MCP -
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Data Visualization MCP Server
MCP server for data visualization using Vega-Lite.
Data Visualization MCP Server enables large language models to visualize data through a standardized interface using Vega-Lite specifications. The server provides tools for saving data tables and generating visualizations as text or PNG images. Integration with platforms like Claude Desktop allows seamless addition of data visualization capabilities to LLM workflows.
92 25 MCP -
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XiYan MCP Server
A server enabling natural language queries to SQL databases via the Model Context Protocol.
XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.
218 43 MCP -
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Aiven MCP Server
Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.
Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.
11 11 MCP -
40
Databricks MCP Server
Expose Databricks data and jobs securely with Model Context Protocol for LLMs.
Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.
42 24 MCP -
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Multi-Database MCP Server (by Legion AI)
Unified multi-database access and AI interaction server with MCP integration.
Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.
76 19 MCP -
42
Prometheus MCP Server
Access and analyze Prometheus metrics through standardized MCP interfaces.
Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.
282 64 MCP -
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Telegram MCP Server
A bridge connecting AI assistants to the Telegram API via the Model Context Protocol.
Telegram MCP Server facilitates secure and structured interaction between AI assistants and the Telegram API by implementing the Model Context Protocol. It enables AI-powered tools to access, organize, and manage Telegram messages, chats, and user data while maintaining user control and privacy. The server offers capabilities for retrieving messages, managing conversations, sending drafts, and organizing chats, making it a versatile tool for AI integrations with Telegram.
237 26 MCP -
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Lara Translate MCP Server
Context-aware translation server implementing the Model Context Protocol.
Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.
76 13 MCP -
45
Multi Database MCP Server
A unified server for structured, multi-database access via the Model Context Protocol.
Multi Database MCP Server provides a standardized interface for AI assistants to access and manage multiple databases concurrently through the Model Context Protocol. It supports automatic tool generation for SQL queries, transactions, schema exploration, and performance analysis for each connected database. Built using Clean Architecture, it is fully compatible with OpenAI Agents SDK, enabling seamless integration. The platform simplifies configuration and interaction with MySQL and PostgreSQL databases in a robust, modular environment.
304 49 MCP -
46
Snowflake MCP Server
MCP server enabling secure and structured Snowflake database interaction with AI tools.
Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.
170 75 MCP -
47
Pica MCP Server
A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.
Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.
8 5 MCP -
48
Databricks Genie MCP Server
Bridge natural language queries to Databricks Genie via Model Context Protocol.
Databricks Genie MCP Server enables interaction between large language models and the Databricks Genie API using the Model Context Protocol. It allows users to ask natural language questions, start and manage conversations, and run SQL queries in Genie spaces. The tool provides structured results, supports follow-up queries, and facilitates connection through both standard and Docker-based setups. Designed for use with Claude Desktop, it streamlines conversational analytics within Databricks workspaces.
12 2 MCP -
49
Postmancer
A standalone MCP server for API testing and management via AI assistants.
Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.
28 4 MCP -
50
Flowcore Platform MCP Server
A standardized MCP server for managing and interacting with Flowcore Platform resources.
Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.
9 5 MCP
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