mgo
Server Details
Compare live gas across up to 9 EVM chains and get the cheapest one. x402 pay-per-call on Base.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- dlrjsdl200-byte/x402-gas-api
- GitHub Stars
- 0
- Server Listing
- mgo-gas
TDQS
Scored across 4 tools
All four tools effectively perform the same function—returning the cheapest EVM chain and savings—differing only by tier/rate-limit labels, so an agent cannot choose based on distinct purpose.
Names share a get_ prefix but mix object naming: get_cheapest_chain vs get_gas_basic/demo/premium, with tier adjectives instead of a consistent noun pattern.
Four tools exist for what is essentially one operation; the count is not excessive numerically but redundant variants inflate the surface without adding distinct capabilities.
The core 'find cheapest chain' use case is covered, but there is no tool for retrieving actual gas prices for all chains or comparing arbitrary chains, leaving some gaps for a gas-comparison domain.
Available Tools
4 toolsget_cheapest_chainBInspect
Get a direct recommendation for the cheapest EVM chain right now with savings %. Free, rate limited.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses rate limiting and free access, which are behavioral traits. However, it does not explicitly state whether the tool is read-only or has any side effects, leaving some ambiguity given no annotations are provided.
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 extremely concise, using two short sentences that directly state the tool's purpose and key constraints. Every word adds value without 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?
For a simple tool with no parameters and no output schema, the description adequately covers what the tool does and what it returns (a recommendation and savings percentage). It could be more explicit about the output format, but it is sufficient for basic agent use.
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?
There are no parameters to document, and the schema coverage is complete. Per the rubric, a baseline of 3 is appropriate since there is no additional semantic detail to provide.
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: recommending the cheapest EVM chain with savings percentage. It is specific to EVM chains and distinguishes itself from sibling tools that likely provide raw gas prices.
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 lacks explicit guidance on when to use this tool versus the sibling get_gas_* tools. It only mentions 'Free, rate limited', which is a constraint but does not help an agent decide between alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_gas_basicAInspect
Find the cheapest EVM chain before sending a transaction. Compares live gas across Ethereum, Base, Arbitrum & Optimism and returns the cheapest chain with savings % (e.g. 'Use Base — saves 99.8% vs Ethereum'). Use before bridging, deploying a contract, or any tx where you can choose the chain. $0.001 USDC via x402 on Base, no API key.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the full burden of explaining behavioral aspects. It does mention 'live gas' (indicating network calls) and 'no API key' (suggesting a free tier), but it does not clarify whether the tool has side effects, how it sources data, or how the $0.001 USDC cost is applied. This partial transparency is adequate but not thorough.
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 compact but a bit dense, covering purpose, example output, usage scenarios, and cost information in three sentences. The cost detail ('$0.001 USDC via x402 on Base') feels tangential to the core function and could be seen as noise, but it does not hinder readability. Overall, it is well-structured and within reasonable length.
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 captures the tool's behavior and output. It explains that the tool returns the cheapest chain with savings percentage, provides an example, and specifies when to use it. Since there is no output schema and no parameters, no additional context is needed. The description is complete for an agent to correctly invoke and understand the result.
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 tool has zero parameters, so the schema coverage is inherently complete. The baseline score for no parameters is 4, and the description adds no unnecessary parameter details, which is appropriate. There is nothing to clarify about inputs.
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: 'Find the cheapest EVM chain before sending a transaction. Compares live gas across Ethereum, Base, Arbitrum & Optimism and returns the cheapest chain with savings %'. It also provides a concrete example of the output. This makes the purpose unmistakable and distinct from the sibling tools (which likely offer different scopes or pricing tiers).
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 advises when to use the tool: 'Use before bridging, deploying a contract, or any tx where you can choose the chain.' It also signals its basic/free nature with 'no API key' and mentions a cost ($0.001 USDC via x402 on Base), which helps users decide between this and premium alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_gas_demoAInspect
Get free real-time gas prices for 4 major EVM chains (Ethereum, Base, Arbitrum, Optimism). Rate limited 10/hr.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 discloses rate limiting and free access, but does not mention side effects, error behavior, or data source limitations.
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?
One concise sentence with no filler or redundancy. Includes all essential information: action, resource, scope, cost, and rate limit.
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 simple zero-parameter tool with no output schema, the description is complete: it states what is returned (gas prices), the supported chains, and a key constraint (rate limit). No critical context 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?
Tool has no parameters and the schema is empty, so there is no parameter information to clarify. The description appropriately focuses on behavior rather than inputs.
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?
Clearly states a specific verb ('Get'), a specific resource ('real-time gas prices'), and the exact scope (4 EVM chains: Ethereum, Base, Arbitrum, Optimism). The name also distinguishes it from sibling tools like get_cheapest_chain and get_gas_basic/premium.
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?
Implies usage through 'free' and 'rate limited 10/hr', suggesting a demo or lightweight tier, but does not explicitly say when to use this tool versus the get_gas_basic, get_gas_premium, or get_cheapest_chain alternatives.
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.
4 tool updates
- First observed
get_cheapest_chain - First observed
get_gas_basic - First observed
get_gas_demo - First observed
get_gas_premium
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
Find the cheapest EVM chain across up to 9 networks with savings %. Pay-per-call via x402 on Base.
EVM gas, Chainlink prices, token-safety, swap quotes, ENS, OFAC & NFT via x402.
Crypto prices, gas, DeFi TVL, and live Polymarket odds. x402 pay-per-call, $0.001, no API key.
Pay-per-call data APIs for AI agents. USDC on Base via x402. 33 tools, no signup.
Related MCP Servers
- AlicenseAqualityCmaintenanceCompare real-time gas prices across up to 9 EVM chains and get the cheapest-chain recommendation. Pay-per-call via x402 (USDC on Base). No API key.4MIT
- AlicenseNot gradedqualityBmaintenanceLets AI agents fetch live gas prices across multiple EVM chains, compare USD transfer costs, and find the cheapest chain in a single call, with pay-per-call billing via x402.MIT
- FlicenseAqualityCmaintenanceProvides AI agents with real-time gas prices and blockchain data from Base, with metered access via x402 payment protocol.4-
- AlicenseAqualityBmaintenanceEnables agents to fetch live Base mainnet gas prices by paying $0.001 USDC per call via the x402 payment standard.110MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.