UseGrant▌
by usegranthq
Enable secure authentication and resource management with UseGrant—your trusted access control system using web token te
Integrates with the UseGrant API to enable secure authentication, resource management, and structured access control for provider, client, and tenant management within the UseGrant ecosystem.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / SaaS applications requiring multi-tenant authentication
- / Enterprise apps with complex access control needs
- / Development teams building provider-client ecosystems
capabilities
- / Authenticate users through UseGrant API
- / Manage client and provider registrations
- / Configure tenant access permissions
- / Control resource access policies
- / Monitor authentication sessions
- / Administer multi-tenant environments
what it does
Connects to UseGrant's API for managing authentication, user access control, and multi-tenant resource permissions. Handles provider, client, and tenant administration through structured API calls.
about
UseGrant is an official MCP server published by usegranthq that provides AI assistants with tools and capabilities via the Model Context Protocol. Enable secure authentication and resource management with UseGrant—your trusted access control system using web token te It is categorized under developer tools.
how to install
You can install UseGrant 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
UseGrant is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
UseGrant MCP Server
This is a Model Context Protocol (MCP) server for interacting with the UseGrant API. It provides a set of tools for managing providers, clients, tenants, and access tokens through the UseGrant platform.
Tools
- list_providers: List all providers
- create_provider: Create a new provider
- get_provider: Get a provider by ID
- delete_provider: Delete a provider
- list_clients: List all clients for a provider
- create_client: Create a new client for a provider
- get_client: Get client details by provider and client ID
- delete_client: Delete a client from a provider
- list_domains: List all domains for a provider
- add_domain: Add a domain to a provider
- get_domain: Get a domain by provider and domain ID
- delete_domain: Delete a domain from a provider
- verify_domain: Verify a domain for a provider
- create_access_token: Create a new access token for a client
- list_tenants: List all tenants
- create_tenant: Create a new tenant
- get_tenant: Get a tenant by ID
- delete_tenant: Delete a tenant
- list_tenant_providers: List all providers for a tenant
- create_tenant_provider: Create a new provider for a tenant
- get_tenant_provider: Get a provider for a tenant
- delete_tenant_provider: Delete a provider for a tenant
- list_tenant_provider_policies: List all policies for a tenant provider
- create_tenant_provider_policy: Create a new policy for a tenant provider
- get_tenant_provider_policy: Get a policy for a tenant provider
- delete_tenant_provider_policy: Delete a policy for a tenant provider
- validate_access_token: Validate an access token for a tenant
Requirements
- Node.js 16 or higher
- A valid UseGrant API key. Refer here for more details.
Using with Claude desktop
Add the following config to your claude_desktop_config file:
{
"mcpServers": {
"usegrant": {
"command": "npx",
"args": ["-y", "@usegrant/mcp-server"],
"env": {
"USEGRANT_API_KEY": "your_api_key_here"
}
}
}
}
Testing
To test the MCP server, we can use mcp inspector.
Copy the .env.example file to .env and set the USEGRANT_API_KEY environment variable.
npx @modelcontextprotocol/inspector -e USEGRANT_API_KEY=$USEGRANT_API_KEY npx tsx src/index.ts
To watch and build the project:
npm run dev
License
This project is licensed under the MIT License. See the LICENSE file for details.
FAQ
- What is the UseGrant MCP server?
- UseGrant 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 UseGrant?
- This profile displays 43 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.5★★★★★43 reviews- ★★★★★Yuki Desai· Dec 28, 2024
Useful MCP listing: UseGrant is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Chaitanya Patil· Dec 24, 2024
UseGrant is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yuki Sethi· Dec 16, 2024
UseGrant is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Tariq Rao· Nov 19, 2024
Strong directory entry: UseGrant surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Piyush G· Nov 15, 2024
UseGrant is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Rahul Santra· Nov 11, 2024
UseGrant has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yuki Dixit· Nov 7, 2024
UseGrant is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yusuf Zhang· Nov 3, 2024
UseGrant has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Aanya Choi· Oct 26, 2024
We evaluated UseGrant against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kofi White· Oct 22, 2024
According to our notes, UseGrant benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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