productivity

Holaspirit

syucream

by syucream

Integrate with Holaspirit's API for seamless access to organizational data, structure analysis, and role management solu

Integrates with Holaspirit's API to provide access to organizational data for tasks like structure analysis, role management, and policy review.

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    what it does

    Integrates with Holaspirit's API to provide access to organizational data for tasks like structure analysis, role management, and policy review.

    about

    Holaspirit is a community-built MCP server published by syucream that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Holaspirit's API for seamless access to organizational data, structure analysis, and role management solu It is categorized under productivity.

    how to install

    You can install Holaspirit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

    license

    MIT

    Holaspirit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

    readme

    holaspirit-mcp-server

    smithery badge npm version

    A MCP(Model Context Protocol) server that accesses to Holaspirit API.

    This server provides MCP-compatible access to Holaspirit's API, allowing AI assistants to interact with your Holaspirit data through a standardized interface.

    <a href="https://glama.ai/mcp/servers/7tn35lri9w"><img width="380" height="200" src="https://glama.ai/mcp/servers/7tn35lri9w/badge" alt="Holaspirit Server MCP server" /></a>

    Features

    Available tools:

    • holaspirit_list_tasks - List all tasks in the organization
    • holaspirit_list_metrics - List all metrics in the organization
    • holaspirit_list_circles - List all circles in the organization
    • holaspirit_get_circle - Get details of a specific circle
    • holaspirit_list_roles - List all roles in the organization
    • holaspirit_get_role - Get details of a specific role
    • holaspirit_list_domains - List all domains in the organization
    • holaspirit_list_policies - List all policies in the organization
    • holaspirit_list_meetings - List all meetings in the organization
    • holaspirit_get_meeting - Get details of a specific meeting
    • holaspirit_get_member_feed - Get member feed
    • holaspirit_get_tensions - Get tensions for a meeting or meetings
    • holaspirit_search_member - Search for a member by email

    Quick Start

    Installation

    Installing via Smithery

    To install holaspirit-mcp-server for Claude Desktop automatically via Smithery:

    npx -y @smithery/cli install holaspirit-mcp-server --client claude
    

    Manual Installation

    npm install holaspirit-mcp-server
    

    Configuration

    You can configure the server using environment variables. Two methods are supported:

    Environment Variables

    • HOLASPIRIT_API_TOKEN: Your Holaspirit API token
    • HOLASPIRIT_ORGANIZATION_ID: Your Holaspirit organization ID

    Using .env File

    Create a .env file in the project root:

    # Copy the example file
    cp .env.example .env
    

    Then edit .env with your actual values:

    HOLASPIRIT_API_TOKEN=your_api_token_here
    HOLASPIRIT_ORGANIZATION_ID=your_organization_id_here
    

    Usage

    The server supports two transport modes:

    Stdio Transport (Default)

    For use with MCP clients that communicate via stdin/stdout:

    npx holaspirit-mcp-server
    

    HTTP Transport

    For use with web clients or HTTP-based integrations using the latest Streamable HTTP protocol:

    npx holaspirit-mcp-server --port 3000
    

    The HTTP server accepts POST requests only on any path (e.g., /, /mcp, /sse) and uses the Streamable HTTP transport protocol.

    Edit MCP configuration json for your client:

    For stdio transport:

    ...
        "holaspirit": {
          "command": "npx",
          "args": [
            "-y",
            "holaspirit-mcp-server"
          ],
          "env": {
            "HOLASPIRIT_API_TOKEN": "<your token>",
            "HOLASPIRIT_ORGANIZATION_ID": "<your org id>"
          }
        },
    ...
    

    For HTTP transport, configure your client to connect to:

    • http://localhost:3000/ (or any path)

    Development

    Available Scripts

    • npm run dev - Start the server in development mode with hot reloading
    • npm run build - Build the project for production
    • npm run start - Start the production server
    • npm run lint - Run linting checks (ESLint and Prettier)
    • npm run fix - Automatically fix linting issues
    • npm run examples - Run the example scripts

    Contributing

    1. Fork the repository
    2. Create your feature branch
    3. Run tests and linting: npm run lint
    4. Commit your changes
    5. Push to the branch
    6. Create a Pull Request

    FAQ

    What is the Holaspirit MCP server?
    Holaspirit is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
    How do MCP servers relate to agent skills?
    Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
    How are reviews shown for Holaspirit?
    This profile displays 70 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

    Use Cases

    Extended AI Capabilities

    Add new capabilities to Claude beyond text generation

    Example

    Access external data sources, execute code, interact with tools and services

    Transform Claude from chatbot to action-taking agent

    Context Enhancement

    Provide Claude with access to relevant context and data

    Example

    Load project documentation, access knowledge bases, query databases

    Get more accurate, context-aware responses

    Workflow Automation

    Automate multi-step workflows combining AI and external tools

    Example

    Research → Summarize → Create document → Send notification

    Complete complex tasks end-to-end without manual steps

    Implementation Guide

    Prerequisites

    • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
    • Basic understanding of MCP architecture and capabilities
    • Access credentials for integrated services (if required)
    • Willingness to experiment and iterate on configuration

    Time Estimate

    15-60 minutes depending on server complexity

    Installation Steps

    1. 1.Install MCP server: npm install -g [package-name] or via GitHub
    2. 2.Add server configuration to ~/.claude/mcp.json
    3. 3.Provide required credentials and configuration
    4. 4.Restart Claude Desktop to load new server
    5. 5.Test basic functionality with simple prompts
    6. 6.Explore capabilities and experiment with use cases
    7. 7.Document successful patterns for reuse

    Troubleshooting

    • MCP server not loading: Check config syntax, verify installation
    • Connection errors: Check network, firewall, credentials
    • Feature not working: Read server docs, check required parameters
    • Performance issues: Monitor resource usage, check for network latency
    • Conflicts with other servers: Check port assignments, namespace collisions

    Best Practices

    ✓ Do

    • +Read server documentation thoroughly before setup
    • +Start with simple use cases to validate functionality
    • +Test in non-production environment first
    • +Monitor resource usage and performance
    • +Keep servers updated for bug fixes and new features
    • +Document configuration for team members
    • +Use environment variables for sensitive configuration

    ✗ Don't

    • Don't grant overly permissive access to MCP servers
    • Don't skip reading security considerations in docs
    • Don't expose sensitive data without proper controls
    • Don't run untrusted MCP servers without code review
    • Don't ignore error messages—investigate root cause

    💡 Pro Tips

    • Combine multiple MCP servers for powerful workflows
    • Create custom MCP servers for your specific needs
    • Share successful configurations with team
    • Use MCP inspector for debugging
    • Join MCP community for tips and troubleshooting

    Technical Details

    Architecture

    Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

    Protocols

    • Model Context Protocol (MCP)
    • JSON-RPC 2.0
    • stdio or HTTP transport

    Compatibility

    • Claude Desktop
    • Cursor IDE
    • Custom MCP clients

    When to Use This

    ✓ Use When

    Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

    ✗ Avoid When

    Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

    Integration

    • Tool composition: Chain multiple MCP tools in workflows
    • Context augmentation: Provide AI with relevant external data
    • Action delegation: Let AI execute tasks on external systems
    • Bidirectional sync: Keep AI context and external systems in sync

    Discussion

    Product Hunt–style comments (not star reviews)
    • No comments yet — start the thread.

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    Ratings

    4.870 reviews
    • Chaitanya Patil· Dec 28, 2024

      I recommend Holaspirit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

    • Aarav Johnson· Dec 28, 2024

      I recommend Holaspirit for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

    • Amelia Khan· Dec 12, 2024

      Holaspirit reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

    • Aarav Martin· Dec 4, 2024

      We wired Holaspirit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

    • Noor Thompson· Nov 23, 2024

      Holaspirit reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

    • Noor Sharma· Nov 23, 2024

      Useful MCP listing: Holaspirit is the kind of server we cite when onboarding engineers to host + tool permissions.

    • Piyush G· Nov 19, 2024

      Holaspirit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

    • Chen Verma· Nov 19, 2024

      Holaspirit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

    • Anika Park· Nov 3, 2024

      We wired Holaspirit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

    • Anika Agarwal· Oct 22, 2024

      We evaluated Holaspirit against two servers with overlapping tools; this profile had the clearer scope statement.

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