Excel MCP Server alternatives

1

Mac Apps Launcher MCP Server

Launch and manage macOS applications via an MCP server.

Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.

16 8 MCP

2

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

3

IDA Pro MCP

Enabling Model Context Protocol server integration with IDA Pro for collaborative reverse engineering.

IDA Pro MCP provides a Model Context Protocol (MCP) server that connects the IDA Pro reverse engineering platform to clients supporting the MCP standard. It exposes a wide array of program analysis and manipulation functionalities such as querying metadata, accessing functions, globals, imports, and strings, decompiling code, disassembling, renaming variables, and more, in a standardized way. This enables seamless integration of AI-powered or remote tools with IDA Pro to enhance the reverse engineering workflow.

4,214 432 MCP

4

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

5

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

6

Ebook-MCP

A Model Context Protocol server for conversational e-book interaction and AI integration.

Ebook-MCP acts as a Model Context Protocol (MCP) server enabling seamless interaction between large language model (LLM) applications and electronic books such as EPUB and PDF. It standardizes APIs for AI-powered reading, searching, and managing digital libraries. Through natural language interfaces, it provides smart library management, content navigation, and interactive learning within digital books. Ebook-MCP integrates with modern AI-powered IDEs and supports multi-format digital book processing.

132 23 MCP

7

PDF Tools MCP

Comprehensive PDF manipulation via MCP protocol.

PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

31 8 MCP

8

MCP XRPL Server

Unified Model Context Protocol server for seamless AI-driven interaction with the XRP Ledger.

MCP XRPL Server provides a comprehensive Model Context Protocol implementation for the XRP Ledger, enabling AI agents to access blockchain services seamlessly across MainNet, TestNet, and DevNet. It offers an extensive suite of features including account management, token transfers, NFT operations, DIDs, AMM operations, and oracle interactions, all via a standardized MCP interface. The server supports context-driven interactions, making XRPL functionality readily accessible for AI-powered agents.

5 4 MCP

9

MCP Text Editor Server

A line-oriented text editor server implementing the Model Context Protocol for efficient and safe file editing.

MCP Text Editor Server provides line-based text file editing capabilities through a Model Context Protocol-compliant API. It enables efficient partial file access, robust conflict detection, and multi-file atomic operations, optimized for integration with large language model tools. With flexible character encoding support and concurrent editing safeguards, it is suited for collaborative and automated environments requiring reliable and token-efficient file manipulation.

175 22 MCP

10

Everything Search MCP Server

Fast, cross-platform file search via Model Context Protocol integration.

Everything Search MCP Server provides fast file and folder search capabilities across Windows, macOS, and Linux platforms as an MCP server. It leverages native search utilities such as the Everything SDK on Windows, mdfind on macOS, and locate/plocate on Linux. The tool exposes a standardized search interface with customizable parameters including query, sorting, and matching options. It is suitable for integration with AI clients or automation tools that follow the Model Context Protocol.

268 35 MCP

11

MCP Google Drive Server

Seamlessly connect Google Drive and Sheets with MCP tools for file access and editing.

The MCP Google Drive Server enables integration with Google Drive and Google Sheets, allowing users to search, read, and retrieve files, as well as interact with spreadsheets. It provides MCP-compatible tools for searching files, reading file contents, reading spreadsheet ranges, and updating spreadsheet cells. Files in Google Drive are made accessible through standardized resources, supporting multiple export formats for Google Workspace files. Designed for easy authentication and configuration with Google Cloud, the server streamlines interactions between external systems and Google Drive resources.

228 85 MCP

12

QA Sphere MCP Server

Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

15 6 MCP

13

EditorConfig MCP Server

An MCP-compliant server that formats files using .editorconfig rules.

EditorConfig MCP Server provides a Model Context Protocol (MCP) compliant server that automatically formats project files according to .editorconfig rules. Designed to work with AI coding agents, it proactively enforces consistent code formatting and prevents common style errors before files are processed further. The server features robust API endpoints, semantic versioned routes, rate limiting, OpenAPI documentation, and JSON schema-based validation, supporting seamless integration into automated development workflows.

2 2 MCP

14

mcp-pandoc

Seamless document format conversion via the Model Context Protocol.

mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion powered by Pandoc. It enables bidirectional transformation of content between various document formats while preserving structure and formatting. Designed for integration in AI workflows, it allows standardized and programmatic conversion suitable for large language models and tool-augmented assistants. The project exposes conversion functionality both by direct content submission and via input files.

445 57 MCP

15

JMeter MCP Server

Execute and analyze JMeter tests via Model Context Protocol integration.

JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

47 16 MCP

16

Mobile MCP

Platform-agnostic server for scalable mobile automation and development.

Mobile MCP is a Model Context Protocol (MCP) server that enables scalable automation and interaction with native iOS and Android devices through a unified, platform-independent API. Designed to power agents and LLMs, it supports both simulator/emulator and real device environments, allowing access via structured accessibility snapshots or coordinate-based actions. The server facilitates multi-step user journeys, data extraction, and agent-based frameworks without requiring device-specific expertise.

2,436 217 MCP

17

simctl-mcp

A Model Context Protocol server for automating iOS Simulator control.

simctl-mcp implements a Model Context Protocol (MCP) server that allows for remote and automated management of iOS Simulator devices and applications. It supports both STDIO and HTTP server modes for flexible integration into development workflows. The tool provides functionality for device management, app lifecycle operations, permission handling, system features, certificate management, and media content manipulation. It is designed to facilitate AI-driven or prompt-based interactions with the iOS Simulator environment.

13 4 MCP

18

Higress OPS MCP Server

Model Context Protocol server and client for fully managed Higress configuration.

Higress OPS MCP Server delivers a Model Context Protocol-compliant server and client for centralized configuration and management of Higress. It leverages a flexible tool-based architecture and offers seamless integration with LangGraph and LangChain MCP Adapters, streamlining agent-driven workflows for system operations. The package allows developers to define, extend, and register custom tools, supporting secure interaction with the Higress Console API. Sensitive actions can be flagged for human confirmation to enhance operational safety.

22 8 MCP

19

k6-mcp-server

A Model Context Protocol server for orchestrating k6 load tests via MCP-enabled clients.

k6-mcp-server implements the Model Context Protocol, allowing users to execute and manage k6 load testing scripts through standardized MCP clients. It provides a simple API, supports custom test durations and virtual users, and offers real-time execution output. The system is configurable via environment variables and can be easily integrated into existing MCP-compatible tooling.

17 8 MCP

20

Google MCP Tools

Seamless Google Workspace integration for AI-driven clients via the MCP protocol

Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

12 9 MCP

21

MacOS Resource Monitor MCP Server

Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

16 3 MCP

22

mcp-server-atlassian-jira

Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

39 16 MCP

23

pharo-smalltalk-interop-mcp-server

Local MCP server enabling advanced Pharo Smalltalk integration and introspection.

pharo-smalltalk-interop-mcp-server implements the Model Context Protocol (MCP) and enables communication with a local Pharo Smalltalk image. It offers capabilities such as code evaluation, code introspection, search and discovery, package management, project installation, test execution, and UI debugging. The server is configured to integrate with tools like Cursor and Claude Code, providing a standardized API for programmatic Smalltalk interaction.

6 2 MCP

24

OpenZeppelin Contracts Wizard

Interactive contract generator and Model Context Protocol server for smart contracts.

OpenZeppelin Contracts Wizard enables users to interactively build smart contracts by combining components from OpenZeppelin Contracts. It features a web application, TypeScript API, embeddable widget, and offers MCP (Model Context Protocol) Servers for AI agents to generate contracts with customizable features. It supports Solidity, Cairo, Stellar, and Stylus languages and allows for both local and hosted MCP server usage. The platform is open source and welcomes community contributions.

288 183 MCP

25

MCP Filesystem Server

Secure asynchronous file system access via the Model Context Protocol

MCP Filesystem Server provides secure access to local files and directories through a standardized interface following the Model Context Protocol (MCP). It offers a set of tools for reading, writing, modifying, searching, and managing files and directories, with robust safeguards for path validation, symlink handling, and directory access. Designed to be used as a standalone server or integrated as a Go library, it facilitates safe and efficient programmatic file operations for AI-model-driven agents.

552 87 MCP

26

iOS Simulator MCP Server

A Model Context Protocol server for controlling and automating iOS simulators.

Provides a Model Context Protocol (MCP) server that enables interactions with iOS simulators. Allows users to obtain simulator information, automate UI interactions such as tapping, typing, swiping, and retrieve accessibility data. Designed for robust integration with automation, testing, and developer workflows via standardized MCP commands.

1,231 57 MCP

27

Calculator Server

A high-precision Go server implementing 13 advanced mathematical and financial tools via the Model Context Protocol.

Calculator Server is a Go-based implementation of the Model Context Protocol (MCP) designed to offer comprehensive mathematical computation services. It features 13 advanced tools including support for arithmetic, scientific, statistical, unit conversion, and financial calculations. The server provides high-precision operations, bulk processing for unit conversions, and sophisticated financial modeling capabilities, making it suitable for both scientific and financial applications.

0 1 MCP

28

MCP Ping-Pong Server by Remote Call

An experimental MCP-based Ping-Pong server leveraging FastAPI and FastMCP for remote calls.

MCP Ping-Pong Server by Remote Call demonstrates the use of the Model Context Protocol (MCP) for handling command-based interactions via FastAPI. The project provides a backend powered by FastAPI and FastMCP, enabling remote MCP calls through API endpoints and Server-Sent Events (SSE). It includes thread-safe session management, command handling integration, and an interactive UI for engaging with ping, pong, and count operations. Designed as an educational tool, it showcases practical MCP usage for API-driven workflows.

1 2 MCP

29

Swarmia MCP Server

Connect Swarmia's metrics and reports to MCP clients for advanced analytics.

Swarmia MCP Server acts as a bridge between Swarmia's Export API and Model Context Protocol (MCP) clients, enabling streamlined access to advanced metrics and reporting. It supports the retrieval of pull request metrics, DORA metrics, investment balance reports, software capitalization data, and effort reporting. The server is designed to work seamlessly with various MCP clients, allowing users to fetch and analyze organizational engineering data via standardized protocols.

2 1 MCP

30

char-index-mcp

Character-level string manipulation tools via MCP server.

char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

0 1 MCP

31

Google Sheets MCP Server

Automate Google Sheets with Model Context Protocol integration.

Google Sheets MCP Server enables seamless integration between Google Sheets and any MCP-compatible client, providing rich API access for spreadsheet automation. It offers full CRUD operations on spreadsheets and tables, secure authentication with Google Service Accounts, and compatibility with tools like Continue.dev, Claude Desktop, and Perplexity. The service can be rapidly installed with the uvx package manager, making it fast and easy to connect Google Sheets to various AI and automation workflows.

12 3 MCP

32

mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

33

ms-365-mcp-server

A Model Context Protocol server for seamless Microsoft 365 and Office Graph API integration.

ms-365-mcp-server is a Model Context Protocol (MCP) server that enables secure and efficient access to Microsoft 365 and Office services via the Graph API. It supports authentication through Microsoft Authentication Library (MSAL), granular tool filtering, and provides output in both JSON and token-efficient TOON formats. The server offers comprehensive integration with personal and organizational Microsoft 365 tools including Outlook, Calendar, OneDrive, Excel, Teams, Planner, and SharePoint. It supports both read-only mode for safe operations and advanced organization mode for enhanced team and enterprise scenarios.

333 114 MCP

34

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

35

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

36

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

37

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

38

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

39

books-mcp-server

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

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

5 2 MCP

40

dicom-mcp

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

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

74 21 MCP

41

mcp-server-js

Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

31 13 MCP

42

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

43

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

44

VictoriaLogs MCP Server

MCP server enabling advanced read-only access and observability for VictoriaLogs

VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

30 7 MCP

45

MCP Google Sheets Server

Seamless Google Sheets integration for MCP clients.

Enables MCP-compatible clients to read, write, and manage Google Sheets through a dedicated server interface. Provides advanced spreadsheet operations such as batch editing, chart creation, and formatting while supporting secure authentication using Google Cloud service accounts. Offers production-grade reliability with TypeScript implementation, robust error handling, and comprehensive test coverage. Easily integrates with platforms like Claude Code, Claude Desktop, Cursor, and more.

34 9 MCP

46

Druid MCP Server

Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

9 4 MCP

47

mcp-google-sheets

Your AI Assistant's Gateway to Google Sheets!

mcp-google-sheets is a Python-based MCP server that bridges MCP-compatible clients and the Google Sheets API. It enables seamless interaction with Google Spreadsheets, allowing for data manipulation, automation, and workflow creation driven by AI tools via a standardized protocol. The server can be quickly deployed using 'uvx', supports service account authentication, and integrates with AI clients like Claude Desktop. It offers a defined set of tools to streamline spreadsheet operations securely and efficiently.

502 136 MCP

48

PythonAnywhere Model Context Protocol Server

Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

8 4 MCP

49

mcp-server

A production-ready Model Context Protocol server for advanced aerospace and astrodynamics calculations.

The mcp-server provides a Model Context Protocol (MCP) server specifically designed for aerospace and astrodynamics computations. It offers both STDIO and HTTP/SSE transport options, enabling seamless integration with MCP clients for tasks like celestial body ephemeris, orbital mechanics, geometry, ground station operations, and time system conversions. Powered by the IO Aerospace Astrodynamics framework, it supports rapid, context-aware scientific tool execution for applications in mission analysis and research. Extensible deployment methods, including Docker and .NET, and a focus on easy client integration are core components.

1 1 MCP

50

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

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