AFL MCP Server alternatives

1

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

2

TeslaMate MCP Server

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.

106 14 MCP

3

Aviationstack MCP Server

MCP server offering comprehensive endpoints for aviation and flight data.

Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.

11 4 MCP

4

Campertunity MCP Server

Model Context Protocol server for AI-driven camping and outdoor recreation data

Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.

11 4 MCP

5

AllTrails MCP Server

MCP server for seamless AllTrails data access and integration

AllTrails MCP Server provides Model Context Protocol (MCP) compliant access to AllTrails hiking trail data, enabling AI tools to search for trails and retrieve detailed trail information. It supports searching by national park and fetching comprehensive details such as difficulty, length, elevation, ratings, and route types. The server communicates via standard input/output and is designed for easy integration with MCP-compatible clients like Claude Desktop. Installation is flexible, supporting both virtual environments and system Python setups.

6 6 MCP

6

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

7

Jira MCP

AI-Ready Jira Server for Real-World Developer Workflows

Jira MCP is an opinionated server implementation of the Model Context Protocol (MCP) tailored for Jira automation and integration. It provides advanced tools to manage Jira issues, sprints, development data, and project versions, reflecting workflows of real engineering and QA teams. Designed for seamless AI and tool integrations, it supports context-rich retrieval of Jira information for enhancing development transparency and automation.

69 19 MCP

8

MCP CLI

A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.

MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.

1,755 299 MCP

9

Fantasy Premier League MCP Server

Enables rich access to Fantasy Premier League data via the Model Context Protocol.

Fantasy Premier League MCP Server is a Model Context Protocol (MCP) server that provides streamlined access to Fantasy Premier League (FPL) data, including player statistics, team information, and gameweek details. It allows users to interact with and compare FPL player data, search teams and players, and integrate seamlessly with Claude Desktop and other MCP-compatible clients. Designed for both quick CLI usage and deep AI integration, it ensures comprehensive coverage for FPL enthusiasts and AI-powered desktop tools.

65 19 MCP

10

MLB API MCP Server

A Model Context Protocol server for seamless MLB data access through AI applications.

MLB API MCP Server provides comprehensive access to MLB statistics and baseball data via a FastMCP-based interface. It exposes a range of MLB functionalities—including live game data, player statistics, team information, and advanced metrics—as MCP tools accessible by AI workflows. Compatible with MCP-enabled AI clients, it enables structured, schema-validated querying and integrations for baseball data.

33 9 MCP

11

Balldontlie MCP Server

Sports data access via Model Context Protocol for LLMs

Balldontlie MCP Server provides an MCP-compliant interface to the Balldontlie API, offering NBA, NFL, and MLB data to downstream AI models and applications. It supports retrieving information about teams, players, and games, and includes features like schedule generation for various leagues. The server is easily installable via Claude Desktop, Smithery, or LibreChat, and integrates with LLMs to allow natural-language sports queries.

18 10 MCP

12

OP.GG MCP Server

Seamlessly connect OP.GG data with AI agents via the Model Context Protocol.

OP.GG MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide standardized access to OP.GG data for AI agents and platforms. It enables retrieval of a wide range of real-time data from games like League of Legends, Teamfight Tactics, and Valorant through a unified interface. The server supports integration using MCP-compatible clients and simplifies remote data access for model-based applications. Its flexible tools cover champion statistics, match histories, esports schedules, and in-game leaderboards.

46 12 MCP

13

Alpha Vantage MCP Server

Real-time financial data access for models via standardized protocol.

Alpha Vantage MCP Server implements the Model Context Protocol (MCP) to provide real-time and historical financial market data, including stock quotes, company profiles, cryptocurrency exchange rates, ETF information, and options chain analytics. It delivers a standardized API interface, enabling seamless integration with AI clients such as Claude Desktop. The server manages API keys, error handling, and rate limits for reliable data delivery.

81 35 MCP

14

FirstCycling MCP Server

Professional cycling data API for conversational AI via MCP.

FirstCycling MCP Server provides structured access to comprehensive professional cycling data through the Model Context Protocol. It enables retrieval of cyclist profiles, race results, historical race data, and team information, supporting detailed sports analysis and research. The server integrates the FirstCycling API for real-time data scraping and exposes specialized MCP tools for querying race and rider statistics.

17 8 MCP

15

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

16

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

17

Wazuh MCP Server

Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

137 35 MCP

18

MCP Server for Iaptic

A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

5 7 MCP

19

Airtable MCP Server

Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

45 17 MCP

20

Flipt MCP Server

MCP server for Flipt, enabling AI assistants to manage and evaluate feature flags.

Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

2 7 MCP

21

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

22

Strava MCP Server

Bridge Strava data and tools to LLMs via the Model Context Protocol.

Strava MCP Server provides a standardized MCP interface to access and manage Strava data, exposing activities, profiles, segments, routes, and statistics as AI-consumable tools. Implemented in TypeScript, it enables large language models to interact with Strava's extensive API through natural language prompts and structured MCP endpoints. The server supports fetching, viewing, and exporting data including activities, heart rate, power, and routes, making advanced context-driven integrations possible for AI applications.

180 27 MCP

23

mcp-server-ledger

Model Context Protocol server for interacting with Ledger CLI via AI assistants.

mcp-server-ledger provides a standardized Model Context Protocol interface for the Ledger CLI, enabling AI-driven querying and analysis of double-entry accounting data. It exposes key Ledger CLI commands as tools accessible by Large Language Models for financial reporting, budget analysis, and account management. It supports deployment via Docker, Smithery, or 'uv', and requires a valid ledger file and appropriate environment setup.

35 7 MCP

24

OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

25

Dappier MCP Server

Real-time web search and premium data access for AI agents via Model Context Protocol.

Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

35 11 MCP

26

mcp-server-apache-airflow

A Model Context Protocol server for integrating Apache Airflow with MCP clients.

mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

109 28 MCP

27

MCP Fathom Analytics

Unofficial MCP server for AI-powered access to Fathom Analytics data.

MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

2 5 MCP

28

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

29

MCP Tic-Tac-Toe

A Model Context Protocol server for playing and analyzing tic-tac-toe games through standardized tool interfaces.

MCP Tic-Tac-Toe is a server implementation that provides a complete set of MCP tools for playing, managing, and analyzing tic-tac-toe games. It supports interactions with AI assistants such as Claude, enabling features like creating multiple parallel sessions, making moves, providing strategic analysis, and managing game context. The server is designed for easy integration with clients through various transport methods, including stdio and SSE, and supports seamless AI-human collaboration.

2 1 MCP

30

Yahoo Finance MCP Server

A simple MCP server to access Yahoo Finance data via standardized tools.

Yahoo Finance MCP Server provides a Model Context Protocol (MCP) server enabling seamless access to financial data from Yahoo Finance. It offers a set of standardized tools to fetch stock information, news, historical prices, and perform advanced searches. The server can be deployed using either Docker or uv with straightforward configuration. It is designed to easily integrate with MCP-compatible AI environments and workflows.

68 28 MCP

31

CRIC物业AI MCP Server

行业级物业AI智能体，基于MCP协议的多场景助手

CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

1 3 MCP

32

Snowflake Cortex AI Model Context Protocol (MCP) Server

Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.

Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

176 60 MCP

33

BGG MCP

Model Context Protocol server for BoardGameGeek data, collections, pricing, and recommendations.

BGG MCP provides access to BoardGameGeek data via the Model Context Protocol, enabling AI assistants to retrieve and filter information on board games, user collections, prices, and gameplay recommendations. Implemented in Go, it leverages BoardGameGeek APIs and includes advanced tools such as rule question answering and game trading discovery. Additional integrations include real-time price data from BoardGamePrices.co.uk and algorithmic recommendations from Recommend.Games, making it a comprehensive MCP server for gaming-related contexts.

21 5 MCP

34

Meta Ads MCP

AI-powered Meta Ads campaign analysis and management via MCP

Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

342 86 MCP

35

OpenTK Model Context Protocol Server

A standardized interface for LLMs to access Dutch parliamentary data.

OpenTK Model Context Protocol Server provides a bridge between large language models and Dutch parliamentary data using the Model Context Protocol (MCP). It enables AI systems to access, search, and analyze parliamentary documents, debates, and member information from the Tweede Kamer through a unified and structured interface. By leveraging the @modelcontextprotocol/sdk, it ensures consistent context management for model interactions. Built atop the OpenTK project, it delivers streamlined access to extensive open government datasets.

16 3 MCP

36

Supabase MCP Server

Connect Supabase projects to AI assistants using the Model Context Protocol.

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

2,263 253 MCP

37

Alchemy MCP Server

A Model Context Protocol server for structured AI access to blockchain data and actions via Alchemy.

Alchemy MCP Server enables AI agents to interact with Alchemy’s blockchain APIs using the Model Context Protocol. It provides structured endpoints for querying token prices, NFT data, transaction history, asset transfers, and executing blockchain transactions. The server streamlines blockchain data retrieval while supporting multi-network operations and advanced actions like swaps and contract transactions when paired with wallet agents. It is designed for quick setup and seamless integration with AI tools.

68 26 MCP

38

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

39

Hydrolix MCP Server

MCP server for secure, efficient SQL access to Hydrolix clusters.

Hydrolix MCP Server provides a Model Context Protocol (MCP) interface for executing SQL queries, listing databases, and listing tables on Hydrolix clusters. It ensures safe, read-only data access and includes a standardized health-check endpoint. The server integrates easily with various MCP-compatible clients, supporting multiple authentication methods using either credentials or service account tokens.

5 8 MCP

40

Signoz MCP Server

Connect SigNoz observability data to AI assistants via the Model Context Protocol.

Signoz MCP Server acts as a bridge between SigNoz observability platforms and AI assistants by implementing the Model Context Protocol (MCP). It exposes a suite of tools for querying dashboard information, fetching panel and metrics data, executing custom queries, and retrieving traces or logs from SigNoz. The tool supports integration with popular AI assistants, flexible deployment options (Docker, local virtual environments), and secure configuration via environment variables or YAML files. The server is designed to enable standardized programmatic context retrieval for enhancing AI/LLM workflows.

11 1 MCP

41

WSB Analyst MCP Server

Real-time WallStreetBets data analysis for AI model integration

WSB Analyst MCP Server provides real-time access to WallStreetBets data, enabling detailed analysis of posts, comments, and shared resources. It integrates seamlessly with Claude Desktop and other MCP-compatible clients, allowing AI models to leverage structured Reddit data. Users can gather insights through customizable prompt templates and benefit from features like progress reporting and advanced filtering. The server ensures smooth context management between Reddit data streams and language models.

19 7 MCP

42

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

43

MCP Weather Server

Provides weather forecasts to LLMs via the Model Context Protocol.

MCP Weather Server enables large language models to access real-time, accurate weather forecasts by interfacing with the AccuWeather API. It offers both hourly and daily weather data, supporting metric and imperial units, and can be seamlessly integrated with MCP-compatible clients like Claude Desktop or supergateway. The server provides tools for retrieving weather based on location and settings, with robust configuration options. It is designed for straightforward deployment using Node.js and environment-configured API keys.

27 9 MCP

44

SkySQL MCP Server

Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

2 3 MCP

45

airtable-mcp-server

MCP server providing LLMs with read/write access to Airtable databases.

airtable-mcp-server enables language models to inspect Airtable schemas and interact with Airtable databases through the Model Context Protocol (MCP). It provides tools for listing, reading, and writing records, allowing integration with environments like Claude Desktop, Cursor, and Cline. The solution uses user-provided Airtable API keys for authentication, supporting secure access and manipulation of Airtable data via standardized MCP-compatible clients.

343 119 MCP

46

Firefly MCP Server

Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

15 6 MCP

47

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

48

DexPaprika MCP Server

On-demand DEX and cryptocurrency data server for AI assistants like Claude.

DexPaprika MCP Server provides a Model Context Protocol (MCP) interface for accessing real-time cryptocurrency and decentralized exchange (DEX) data. It enables AI assistants, particularly Claude, to query live token, pool, and DEX information without requiring API keys or prior configuration. The server integrates easily with Claude Desktop and supports batched token price queries, network-specific analytics, and technical analysis tools. Installation is streamlined via Smithery or npm, and it is designed to deliver fast, scalable, and relevant market data to AI systems.

30 12 MCP

49

ORKL MCP Server

A Model Context Protocol server for threat intelligence queries via the ORKL API.

ORKL MCP Server is an implementation of the Model Context Protocol (MCP) designed for seamless integration with MCP-compatible applications. It enables secure querying of the ORKL API, offering tools to fetch and analyze threat reports, threat actors, and intelligence sources. The server streamlines access to detailed cyber threat data for security operations and research.

45 6 MCP

50

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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