OpenZeppelin Stylus Contracts
Server Details
The OpenZeppelin Stylus Contracts MCP server generates secure smart contracts for the Arbitrum Stylus environment using OpenZeppelin templates, including ERC-20, ERC-721, and ERC-1155 standards. It automatically validates generated code against OpenZeppelin's security and style rules, enforcing best practices for imports, modifiers, naming conventions, and security checks to prevent common vulnerabilities. The server integrates with AI development tools like Cursor, Claude, Gemini, Windsurf, and VS Code to enable AI-assisted, production-ready smart contract development.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
3 toolsstylus-erc1155Stylus ERC1155AInspect
Make a non-fungible token per the ERC-1155 standard.
Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.
| Name | Required | Description | Default |
|---|---|---|---|
| info | No | Metadata about the contract and author | |
| name | Yes | The name of the contract | |
| supply | No | Whether to keep track of total supply of tokens | |
| burnable | No | Whether token holders will be able to destroy their tokens |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that the tool returns source code in a Markdown code block and does not write to disk, which informs the agent of the output format and lack of side effects. It does not mention other behavioral aspects like rate limits or errors, but for a code generation tool this is reasonable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is remarkably concise: two sentences that deliver the core purpose and key behavioral details. It is front-loaded with the main action and directly states the output and side-effect. No filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description provides the essential context for using the tool: it generates an ERC-1155 contract and returns the source code without persisting to disk. The input schema covers parameters, and the lack of an output schema is compensated by the explicit note about Markdown formatting. It could mention the specific language/framework (Stylus implies Rust/Arbitrum) but the title already conveys that.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with all four parameters documented in the input schema. The description itself adds no parameter-level detail beyond what the schema provides, so a baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: "Make a non-fungible token per the ERC-1155 standard." The verb is specific (Make), the resource is explicit (non-fungible token per ERC-1155), and it distinguishes itself from sibling tools by naming the standard. It also clarifies the output format, further reinforcing what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool by referencing the ERC-1155 standard, which contrasts with siblings stylus-erc20 and stylus-erc721. It does not include explicit when-not-to-use or alternative recommendations, but the naming of the standard provides clear context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
stylus-erc20Stylus ERC20AInspect
Make a fungible token per the ERC-20 standard.
Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.
| Name | Required | Description | Default |
|---|---|---|---|
| info | No | Metadata about the contract and author | |
| name | Yes | The name of the contract | |
| permit | No | Whether without paying gas, token holders will be able to allow third parties to transfer from their account. | |
| burnable | No | Whether token holders will be able to destroy their tokens | |
| flashmint | No | Whether to include built-in flash loans to allow lending tokens without requiring collateral as long as they're returned in the same transaction. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It explicitly states that the tool returns source code in a Markdown code block and that it 'does not write to disk,' providing clear side-effect information. This goes beyond a bare schema and addresses key behavioral aspects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences: the first states the primary purpose, and the second covers output and side effects. Every word is purposeful, with no redundancy or irrelevant details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description fully explains what the tool generates, the output format, and that it does not write to disk. Combined with the schema's 100% parameter coverage and the presence of all necessary context, no critical information is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers 100% of parameters with individual descriptions, so the description need not add detail. It provides no additional parameter semantics, but the schema already does the heavy lifting, justifying the baseline score of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Make a fungible token per the ERC-20 standard,' naming both the resource (fungible token) and specific standard, which clearly distinguishes it from sibling tools for ERC-1155 and ERC-721. It also clarifies the output ('Returns the source code of the generated contract'), removing any ambiguity about what 'make' entails.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states the ERC-20 standard, giving clear context for when to use this tool (for ERC-20 token source generation). However, it does not explicitly contrast with siblings or state when not to use it, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
stylus-erc721Stylus ERC721AInspect
Make a non-fungible token per the ERC-721 standard.
Returns the source code of the generated contract, formatted in a Markdown code block. Does not write to disk.
| Name | Required | Description | Default |
|---|---|---|---|
| info | No | Metadata about the contract and author | |
| name | Yes | The name of the contract | |
| burnable | No | Whether token holders will be able to destroy their tokens | |
| enumerable | No | Whether to allow on-chain enumeration of all tokens or those owned by an account. Increases gas cost of transfers. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It explicitly states that the output is source code formatted in a Markdown code block and that the tool does not write to disk, which is a key side-effect disclosure. However, it does not mention authentication requirements or any potential failures, though those are less critical for a code generation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two efficient sentences. The first sentence states the core function, and the second covers the output format and the explicit lack of disk writes. There is no wasted wording or repetition of schema details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a code generation tool with a simple purpose, the description is complete: it explains what is produced, how it is returned, and what is not done. The parameters are fully documented in the schema, and the description covers return format since no output schema exists. The only minor gap is not mentioning the nested info object, but the schema handles that.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 100% description coverage for all 4 parameters, so the baseline is 3. The description adds no parameter-specific guidance, but none is needed because the schema already thoroughly explains each parameter, including the nested info object and its properties.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb 'Make' and clearly specifies the resource: a non-fungible token per the ERC-721 standard. This immediately distinguishes it from sibling tools stylus-erc20 (fungible) and stylus-erc1155 (multi-token standard).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for generating ERC-721 token source code but does not explicitly state when to choose this over the sibling tools or mention any exclusions. No reference to alternatives is made, leaving the selection decision to inference from the tool name and standard.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
3 tool updates
- First observed
stylus-erc1155 - First observed
stylus-erc20 - First observed
stylus-erc721
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
The OpenZeppelin Solidity Contracts MCP server integrates OpenZeppelin's security and style rules into AI-driven development workflows, enabling AI assistants to generate safe, correct, and production-ready smart contracts. It automatically validates generated code against OpenZeppelin standards (including imports, modifiers, naming conventions, and security checks) and supports various contract types including ERC-20, ERC-721, ERC-1155, Stablecoins, RWA, Governor, and Account contracts through prompt-driven workflows.
The OpenZeppelin Stellar Contracts MCP server generates secure smart contracts for the Stellar blockchain based on OpenZeppelin templates. It integrates with AI assistants to automatically enforce OpenZeppelin's security best practices, style rules, and standards at every prompt, enabling developers to create production-ready Fungible Token, Non-Fungible Token, and Stablecoin contracts through AI-driven workflows.
The OpenZeppelin Cairo Contracts MCP server generates secure smart contracts in the Cairo language for Starknet environments based on OpenZeppelin templates. It brings OpenZeppelin's proven security and style rules directly into AI-driven development workflows to create safe, production-ready contracts. Key capabilities include providing templates for ERC-20, ERC-721, ERC-1155, Multisig, Governor, and Vesting contracts.
Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.
Related MCP Servers
- FlicenseNot gradedqualityCmaintenanceAn MCP server that statically audits Solidity smart contracts for common vulnerabilities like reentrancy and access control, enabling developers to identify and fix security issues via natural language.-
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that allows AI agents to generate smart contracts using OpenZeppelin Contracts libraries.33465294AGPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables users to generate and retrieve secure, audited smart contract templates from OpenZeppelin including ERC20, ERC721, ERC1155 tokens, access control, governance, and finance contracts through natural language prompts.MIT

CodeMindofficial
AlicenseNot gradedqualityDmaintenanceAn AI Security Guardian MCP server that provides real-time vulnerability scanning, secrets detection, and secure coding enforcement for AI-generated code in modern web frameworks.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool generates a distinct token standard (ERC-20, ERC-721, ERC-1155), with no overlap in purpose. Agents can easily select the correct tool based on the desired token type.
All tool names follow the identical pattern 'stylus-<standard>', making the naming predictable and consistent. There are no mixed conventions or stylistic deviations.
Three tools is an appropriate, focused scope for a server dedicated to generating Stylus token contracts. Each tool earns its place with no redundancy.
The tool set covers the three most common token standards (ERC-20, ERC-721, ERC-1155), which fully satisfies the purpose of generating token contracts. No obvious gaps exist for the given domain.