webring.online
Server Details
Traversable webring directory for the agentic web: agents, MCP servers, and agent-ready websites.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
9 toolsring_bid_infoBInspect
How to bid a member up the leaderboard: minimum, auction rules, and the MPP payment flow.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 communicates that the tool is informational rather than an action tool, since it describes rules and payment flow, but it does not explicitly state that it is read-only or describe output behavior or side effects.
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 a single front-loaded sentence with a clear colon-separated list of content areas. Every word earns its place, with no filler or repetition.
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?
As a zero-parameter info tool, the description names the relevant content areas (minimum, auction rules, MPP payment flow) and is reasonably complete for deciding relevance. However, with no output schema and no annotations, it omits return format and does not explicitly clarify that this is a read-only informational call.
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 input schema has zero parameters, so there are no parameter semantics to document. The description's topical listing adds useful context about what the tool covers, and the zero-parameter baseline of 4 applies here.
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 identifies what topic this tool covers: bidding a member up the leaderboard, including minimums, auction rules, and MPP payment flow. This distinguishes it from sibling ring_* tools like ring_categories or ring_leaderboard, though it lacks an explicit verb like 'returns' or 'explains'.
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?
There is no explicit guidance on when to use ring_bid_info versus siblings such as ring_join_info, ring_leaderboard, or ring_categories. The topic implies bid-related usage, but no triggers, prerequisites, or exclusions are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_categoriesAInspect
Categories in use, with member counts.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the result is limited to categories 'in use' and includes 'member counts', which provides useful behavioral semantics. However, it does not state whether this is a read-only operation, how counts are computed, or any edge cases, though these are largely inferable for a simple zero-parameter listing.
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 a six-word phrase that communicates the resource and the included data with no filler. It is front-loaded and every word earns its place.
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 or annotations, the description adequately conveys what the agent will receive. It tells the agent the result is categories with member counts, which is sufficient to invoke the tool correctly. The phrasing is terse but complete for the tool's low complexity.
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 provides no parameter documentation and none is needed. The baseline for zero-parameter tools is 4; the description does not need to add parameter-level meaning.
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 names the resource ('Categories') and the key returned data ('member counts'), making the tool's purpose clear. It lacks an explicit verb like 'list' or 'get', which keeps it from a 5, but it is unambiguous and distinct from siblings that target bids, members, or leaderboards.
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?
No guidance is given about when to use this tool versus siblings such as ring_list or ring_member. The description does not explain the relationship among categories, membership, or the other ring-related tools, leaving the agent to infer selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_join_infoAInspect
How to join the ring: fee, validation requirements, and the MPP (HTTP 402) payment flow.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It reveals the content areas—fee, validation, and payment flow—and implies this is an informational, read-only tool. It does not explicitly state whether any payment is initiated, what the response format looks like, or whether side effects occur, but for an informational tool this is a reasonable level of disclosure.
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 a single, front-loaded sentence that immediately states the topic and then lists three concrete content pillars. There is no filler or redundant wording.
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 zero-parameter informational tool, the description captures the essential scope and enough detail for an agent to understand what the tool covers. Since there is no output schema, a brief note on the return format would improve completeness, but it is not a critical gap.
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 input schema is empty, so the 0-parameter baseline of 4 applies. The description adds topical context about fee, validation, and payment flow, even though there are no parameters to describe.
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 identifies the tool's subject—joining the ring—and lists the specific facets covered: fee, validation requirements, and the HTTP 402 payment flow. It has a clear resource focus, though it lacks an explicit operation verb like 'returns' or 'describes' and does not explicitly distinguish itself from sibling tools such as ring_member.
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 intended usage is implied: an agent should call this when a user needs information about how to join the ring. However, the description does not name alternatives or exclusion criteria, so an agent must infer the appropriate context from the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_leaderboardAInspect
Members ranked by standing bid totals (cumulative, but decaying when quiet; any new bid revives the full total); #1 holds the homepage spot. to_take_first_usd is the single bid that takes #1. Optional limit/offset.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fully carries the behavioral burden. It discloses the decay mechanism ('decaying when quiet'), revival behavior, the significance of the #1 slot, and the meaning of 'to_take_first_usd'. This is rich behavioral context beyond a simple 'returns leaderboard' statement.
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 a single, dense paragraph that front-loads the core purpose and immediately follows with key behavioral details. Every sentence contributes information, with no filler or repetition.
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?
Since there is no output schema, the description has the burden of clarifying the response shape. It does not mention what fields are returned, whether it's an array of member objects, or how the limit/offset affect the results. The ranking logic is explained, but the output format is left entirely unspecified, making it incomplete for an agent to use effectively.
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 0%, so the description must compensate for the two parameters (limit, offset). It only states 'Optional limit/offset,' which adds no semantic value beyond the schema's type/minimum/maximum. It does not explain what each parameter controls (e.g., number of members, pagination start).
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: 'Members ranked by standing bid totals' – a specific verb (ranked) and resource (members). It further distinguishes itself from siblings by explaining the ranking logic and the special #1 homepage spot, making it unambiguous which tool to select for leaderboard queries.
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?
There is no explicit guidance on when to use this tool versus its siblings. It does not mention alternative tools, prerequisites, or situations where this tool would be inappropriate. The description only describes functionality, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_listAInspect
Webring members in ring order. Optional kind/category filters and limit/offset pagination.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| limit | No | ||
| offset | No | ||
| category | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It discloses that results are in ring order and that filtering and pagination are supported, but it does not state the return shape, pagination defaults, or explicitly confirm the operation is read-only.
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 and front-loaded: the core purpose appears in the first sentence, and the optional parameters are summarized in the second. There is no redundant or unnecessary text.
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 list tool with four optional parameters and no output schema, the description adequately covers the resource, ordering, filters, and pagination. It could add default pagination details or response field expectations, but those are minor gaps.
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 0%, so the description must compensate. It successfully groups all parameters into meaningful roles: kind/category as filters and limit/offset as pagination, adding semantic clarity beyond the bare schema.
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 identifies the resource ('webring members'), the ordering ('ring order'), and the optional filtering/pagination options. It differentiates from siblings like ring_random by emphasizing ring order, though it does not explicitly name alternative tools.
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?
No guidance is given for when to use this tool versus siblings such as ring_member, ring_next, ring_prev, or ring_random. The description implies a list-all use case but provides no exclusions or routing cues.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_memberBInspect
One member by slug, with leaderboard rank.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden for behavioral disclosure. It only adds 'with leaderboard rank' and does not reveal whether the operation is read-only, what happens for an unknown slug, auth requirements, or the response shape.
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 and front-loaded: it states the core behavior in six words and adds the key output trait. No wasted words or redundant restatements of the tool name.
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?
This is likely a simple single-parameter lookup, and the description conveys that the agent needs a slug and can expect member data plus rank. However, with no output schema and no annotations, it leaves unspecified the full return structure and error behavior, making it merely adequate rather than complete.
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 0%, so the description must compensate. 'By slug' does clarify that the slug parameter selects the member, but it does not explain slug format, source, or any validation rules. With only one required string param named slug, this is a minimal but workable level of guidance.
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 identifies a single member lookup by slug and notes it includes leaderboard rank. It differentiates from siblings like ring_list, ring_random, and ring_leaderboard by specifying exactly one member and a slug selector, though it lacks an explicit verb.
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 phrase 'by slug' implies this tool is for fetching one specific member when its slug is known. It does not explicitly state when to choose this over ring_next, ring_prev, or ring_random, so guidance is only implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_nextBInspect
The next member around the ring from a slug, URL, or hostname (wraps). Omit from to enter at the start.
| Name | Required | Description | Default |
|---|---|---|---|
| from | No | ||
| kind | No | ||
| category | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose the wrapping behavior and the starting point convention, which is useful. However, it does not mention error handling, return format, or any side effects (it appears read-only but is not stated). The description adds some behavioral context but leaves significant gaps.
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 a single sentence plus a short clause, highly concise with no redundant language. It front-loads the core action and gives a practical usage tip. All words earn their place.
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 tool has three parameters but no output schema, and annotations are absent. The description covers the core behavior and the 'from' parameter usage, but it omits details about the other two parameters, the nature of the returned member, and what happens with invalid inputs. For a tool this simple, an agent would likely need more information to use it correctly across all parameter combinations.
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 coverage is 0%, so the description must explain all parameters. It explains 'from' (slug, URL, or hostname) and the default behavior when omitted, but it provides no explanation for 'kind' or 'category' parameters. Since two of three parameters are left unexplained, the description does not compensate for the lack of schema descriptions.
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 states a specific action (get next member) on a ring resource, with a clear scope input (slug, URL, or hostname) and wrapping behavior. It clearly conveys that it returns the next element in a cyclic sequence. However, it does not explicitly contrast with sibling tools like ring_prev, leaving the distinction implicit from the name.
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 gives no guidance on when to choose this tool over alternatives like ring_prev or ring_random. The only usage hint is about the 'from' parameter (omit to start), which is more about parameter usage than tool selection. No exclusions or alternative recommendations are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_prevCInspect
The previous member around the ring (wraps).
| Name | Required | Description | Default |
|---|---|---|---|
| from | No | ||
| kind | No | ||
| category | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden; it does disclose the key wrap-around boundary behavior, which goes beyond simply restating the name. However, it does not describe how from, kind, or category affect traversal, or what the return value contains.
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?
A single, front-loaded sentence with no filler; every word contributes to the core meaning. There is slight redundancy between 'around the ring' and 'wraps', but overall it is efficient.
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 tool with three parameters, no annotations, and no output schema, the description is too sparse. It does not clarify the role of 'from', the kind/category filters, or what a successful response looks like, leaving essential invocation details undocumented.
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 0% and the description does not explain any of the three parameters (from, kind, category). It adds no meaning about what these inputs mean, how they filter, or what behavior they control.
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 identifies the resource (ring members), the direction ('previous'), and the wrap-around behavior, which distinguishes it from sibling ring_next. It lacks an explicit verb like 'get' or 'return', but the intent is still clear.
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 phrase 'previous member' and 'wraps' implies use for backward traversal of ring members, but it does not explicitly say when to prefer this over ring_next or ring_random, nor does it mention exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ring_randomCInspect
A random ring member.
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | ||
| category | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility for disclosing behavior. It only says 'A random ring member,' which gives no information about whether the operation is read-only, whether it has side effects, what randomness means, or what the return value looks like. This is a significant gap for a tool with no annotation support.
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 a single five-word phrase, which is extremely concise and lacks any padding. However, it is under-specified to the point of being unhelpful. While it is not verbose, its brevity sacrifices necessary information, so while it earns its place, it does so without adding value.
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 tool with optional parameters and no output schema, the description is severely incomplete. It does not explain the return format, the behavior when no parameters are provided, the meaning of 'kind' and 'category,' or any edge cases. An agent cannot safely or correctly use this tool based on the description alone.
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 input schema has two optional parameters ('kind' and 'category') with 0% description coverage. The description does not explain their purpose or how they affect the random selection. Since the schema itself provides no descriptions, the description must compensate, but it fails entirely, leaving the agent unable to correctly invoke the tool.
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 states 'A random ring member,' which identifies the resource (ring member) and the operation (random selection). This distinguishes it from siblings like ring_list (list all) and ring_member (specific member) because 'random' implies a non-deterministic choice. However, it does not define what a 'ring' is or what constitutes a 'member,' so it lacks full context.
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 provides no guidance on when to use this tool versus alternatives. It does not mention any filtering criteria, the purpose of the 'kind' and 'category' parameters, or any conditions that would make this tool preferable over ring_list or ring_next. An agent has no basis for choosing this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 or an account that owns the GitHub organization, then choose Claim with GitHub.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
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TDQS
Each tool serves a clearly distinct purpose: list vs. single member vs. leaderboard vs. navigation vs. random vs. informational guides. There is no meaningful overlap, and descriptions make selection unambiguous.
All tool names follow the same ring_ prefix with lowercase snake_case descriptive nouns or info suffixes. The pattern is consistent and predictable across the entire set.
Nine tools is well-scoped for a webring browsing and information API. Each endpoint covers a logical facet of the domain without redundancy or bloat.
The surface fully covers the core webring experience: browsing members, navigation, random discovery, categories, leaderboard, and the two key informational flows (joining and bidding). No obvious dead ends or missing operations for the stated purpose.