Chorus
Server Details
Gathers voice, video and written messages from a group into one book for one person.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
7 toolsbook_statusWho has recorded, who is still out, and how long is left.ARead-onlyIdempotentInspect
Returns who is in with their name and relationship, how many voices, videos and written messages have landed, how many carried a photo, who the organiser is still waiting on, and the days left before collecting stops.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds detail about the returned status fields but no additional behavioral traits such as side effects, permissions, or rate limits, which is acceptable given the annotation coverage.
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, well-structured sentence that starts with the action and then efficiently lists all status elements. Every clause adds useful information, with no filler 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?
Even without an output schema, the description fully explains what the agent should expect: names and relationships, counts by media type, photo count, outstanding people, and days remaining. For a simple status query with one parameter, this is complete enough to invoke correctly.
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 100% description coverage for the single 'book' parameter, explaining it as the handle start_book gave. The tool description adds no extra parameter meaning, but because the schema already documents the parameter fully, the baseline 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 uses a clear verb ('Returns') and a specific resource (book collection status), then enumerates exactly what status information is provided: who is in, message counts, photo counts, missing people, and days left. This clearly distinguishes it from siblings like order_status and start_book.
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 context is clear: this tool reports collection progress, including outstanding contributors and time remaining. It does not explicitly name alternatives or state when not to use it, but its purpose is distinct enough among the sibling tools that an agent can infer when to call it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
close_collectingStop collecting, and get the link that plays every message.AInspect
Stops new messages arriving and returns the final counts with the gift link. Nothing is deleted and nothing is finished; it can be reopened.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds meaningful behavioral context beyond the annotations by stating 'Nothing is deleted and nothing is finished; it can be reopened.' This discloses the non-destructive, reversible nature of the operation. It also clarifies the result (final counts with gift link), which is useful since there is no output schema.
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 concise sentences with no wasted words. The primary action and result are front-loaded, followed by the important reversibility note. Every sentence 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 one-parameter tool with no output schema, the description adequately covers what happens, what is returned, and the reversible nature of the action. It could be slightly more explicit about when exactly to call it (e.g., after start_book), but the param description covers the required input and the overall flow is understandable.
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 fully documents the single parameter 'book' as 'The handle start_book gave you.' The description does not add extra parameter meaning beyond what the schema already provides, so the baseline of 3 applies.
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 ('Stops new messages arriving') and a specific output ('returns the final counts with the gift link'). It clearly distinguishes from siblings like reopen_collecting and get_links by describing the unique stopping-and-linking behavior.
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—when you want to stop collecting and obtain the gift link—but does not explicitly contrast it with alternatives such as book_status or get_links. The mention 'it can be reopened' hints at a relationship with reopen_collecting, but no explicit when/when-not guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_linksThe collecting link, the gift link, and a message to send with them.ARead-onlyIdempotentInspect
Returns the link to forward to contributors, the link that plays every message straight through, and a short message the organiser can paste alongside.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no extra behavioral context such as error cases or auth requirements, which is acceptable for a simple read-only 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?
One sentence, front-loaded with the verb, and each phrase specifies one of the three returned artifacts. No wasted words or redundant restatements of the title.
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?
With only one parameter and no output schema, the description provides the semantic content of all three return values. It doesn't give output field names or error behavior, but this is a minor gap for such a simple tool.
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% for the sole parameter 'book', and the description does not add parameter-specific semantics. The baseline of 3 applies because the schema already documents the parameter adequately.
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 a specific verb ('Returns') and concrete artifacts: the forwarding link, the play-through link, and a paste-ready message. This clearly distinguishes get_links from sibling tools that start, close, or check book status.
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 when-to-use or alternative guidance, but the tool's purpose is self-evident from the description: call it when you need the contributor links and accompanying message. This is implied usage rather than explicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
orderHand the organiser a payment page for the option they chose.AInspect
Returns a payment link for one of the three ways to keep the book: voices, book, or keepsake, which is the printed hardcover. Stripe shows the price and takes the card and, on the keepsake, the postal address. This tool never takes a card and never names a price. Read the prices from https://choruskeepsake.com/llms.txt when the person asks what it costs.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. | |
| option | Yes | voices, book, or keepsake. Only the keepsake is printed and posted. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With readOnlyHint=false and idempotentHint=false, the description adds meaningful behavioral context: Stripe shows the price, takes the card, and, for keepsake, collects the postal address. It also states 'This tool never takes a card and never names a price,' clarifying that the agent should not quote prices itself. No contradiction with annotations.
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 four sentences and every sentence earns its place: what it returns, what Stripe does, what the tool itself does not do, and where to get prices if asked. It is front-loaded with the core purpose and remains compact.
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 no output schema, this is nearly complete: it specifies the returned artifact (payment link), the Stripe flow, the price-source external URL, and the only special behaviour around keepsake. It could add what happens on repeat calls or invalid handles, but that is a minor gap for this 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?
Schema description coverage is 100%, so the baseline is 3. The schema already explains both 'book' (handle from start_book) and 'option' (voices, book, or keepsake). The description adds only the detail that keepsake is the printed hardcover, which is useful but not a major compensation burden.
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 a specific verb ('Returns a payment link') and a specific resource ('one of the three ways to keep the book'), and it enumerates those options: voices, book, keepsake. This clearly distinguishes it from siblings like order_status or start_book: this tool produces a live payment link, not status or setup.
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 clear context: use it to hand the organiser a payment page after the option has been chosen. It also explicitly says the tool never names a price and directs the agent to read prices from https://choruskeepsake.com/llms.txt when cost is asked, which is useful when-to-use guidance. It does not explicitly enumerate alternatives, but the price instruction effectively rules out misuse.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
order_statusWhether it is paid, and where the printer is with it.CRead-onlyIdempotentInspect
Returns whether the book has been paid for and which option was bought, and on a printed one the stage the printer is at with the tracking.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds context about what data is returned (payment status, option, printing stage), which is useful beyond annotations. It does not disclose any other behavioral traits like auth or rate limits, but given the annotations, a 3 is appropriate.
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 long sentence that is somewhat convoluted, especially the clause 'on a printed one the stage the printer is at with the tracking.' It could be split and reworded for clarity, but it is not excessively long. It front-loads the main purpose but the phrasing detracts from conciseness.
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?
There is no output schema, so the description must explain return values. It partially does (payment status, option, printing stage), but it is ambiguous about what 'on a printed one' means and what 'tracking' refers to. It also doesn't specify the format of the returned data. For a simple status check, this is insufficient for an agent to reliably parse the output.
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 only parameter 'book' is fully described in the schema ('The handle start_book gave you'), and the description does not add any additional meaning. Since schema coverage is 100%, the baseline of 3 is justified.
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 returns payment status, purchased option, and printing stage for a book. It uses a specific verb ('returns') and resource ('book'), distinguishing it from sibling tools like 'order' (placing orders) and 'book_status' (likely different status). However, the phrase 'on a printed one' is ambiguous, slightly weakening clarity.
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 such as 'book_status' or 'order'. It does not mention prerequisites (e.g., needing a handle from start_book) or exclude scenarios. An agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
reopen_collectingLet messages in again, with a new closing date if there is one.BInspect
Reopens a book that was closed or whose date ran out, and returns the collecting link to send round again.
| Name | Required | Description | Default |
|---|---|---|---|
| book | Yes | The handle start_book gave you. | |
| closes_on | No | A new day to stop collecting, as 2026-11-14. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations show readOnlyHint: false, destructiveHint: false, idempotentHint: false. The description adds an important behavior: returns the collecting link to send round again. With annotations lacking explicit mutation/destructive flags, the description partially compensates by revealing the state-changing action ('reopens'). It does not cover potential side effects (e.g., resets collection, possible data loss) beyond reopening, and annotations contradict nothing.
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 clear sentence, no waste. The action (reopens) and outcome (returns the collecting link) are front-loaded. It earns high marks for being concise while conveying essential purpose, though a touch more detail on parameters could be added.
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 write operation with no output schema, the description covers the function but not the return format details (e.g., whether the link is in a specific field), nor any side effects on existing messages. The absence of enums and output schema increases the burden, but the operation is simple enough that the description is adequate.
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 100%: 'book' described as 'the handle start_book gave you', 'closes_on' as 'a new day to stop collecting' with a format example. The description adds no extra parameter info beyond the schema. It's a baseline 3 because the schema handles it all.
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?
Description: 'Reopens a book that was closed or whose date ran out, and returns the collecting link to send round again' uses specific verbs (reopens, returns) with the resource (book), clearly distinguishing from siblings. The title adds context ('Let messages in again, with a new closing date if there is one'), providing a clear purpose. It doesn't explicitly name a sibling, but the action verb 'reopens' is distinct enough.
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: when a book is closed or its date has run out, it should be reopened and the link re-shared. It clearly states the trigger condition ('was closed or whose date ran out'). However, it does not explicitly mention when NOT to use it or alternatives, relying on implication rather than explicit exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
start_bookStart a Chorus book for a person, and get the one link to forward.AInspect
Starts a book of voice, video and written messages for one person, and returns the single link the organiser sends to everyone taking part. Gathering is free and the people recording need no app and no account. Use this as soon as somebody wants to collect messages from a group for one person, whether or not there is an occasion.
| Name | Required | Description | Default |
|---|---|---|---|
| occasion | No | A big birthday, A wedding, A new baby, As they grow, In memory, or Something else. Plain words are matched to one of those. | |
| closes_on | No | The day collecting stops, as 2026-11-14. Allow three weeks before the day if a printed copy is wanted. | |
| expecting | No | Who is expected to record, by name or role, so book_status can say who is still out. Never email addresses. | |
| lead_with | No | Which of those is the big button on a contributor’s phone. | |
| questions | No | Questions to ask, if the organiser wants their own. The set for the occasion is used when this is left out. | |
| answer_with | No | Any of voice, video and written. Voice and written when not said. | |
| subject_name | Yes | Who the book is for, as the organiser says it, for example Mum. | |
| organiser_email | Yes | The organiser’s email. The book belongs to this address and they get in with a six digit code. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are all false and provide no safety or idempotency signals, so the description carries the burden. It adds meaningful behavioral context: gathering is free, contributors need no app and no account, and the tool returns a single forwardable link. It does not mention side effects like persistent storage or later management via siblings, but the core behavior is transparent enough for invocation.
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?
Three sentences with no wasted words. The main function and output are front-loaded, followed by key user-facing benefits and a clear usage trigger. Every sentence contributes to the agent's ability to decide when and why to call the tool.
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 8 parameters and no output schema, the description is nearly complete: it states the purpose, the trigger condition, the key returned artifact, and a major constraint about contributors needing no account. It could mention that the book belongs to the organiser email, but that is already captured in the organiser_email parameter description.
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%, so the schema already documents all eight parameters in detail. The description adds overall context — one recipient, group contributors, a single link — but does not add per-parameter meaning beyond the schema. Baseline 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 uses a specific verb and resource: 'Starts a book of voice, video and written messages for one person, and returns the single link the organiser sends to everyone taking part.' It clearly identifies the tool's core action and output, and differentiates it from siblings like get_links by emphasizing that this creates the book and returns the one link to forward.
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 when to use the tool: 'Use this as soon as somebody wants to collect messages from a group for one person, whether or not there is an occasion.' This gives a clear triggering condition, and the phrase 'whether or not there is an occasion' prevents the agent from requiring an occasion to exist.
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.
7 tool updates
- First observed
book_status - First observed
close_collecting - First observed
get_links - First observed
order - First observed
order_status - First observed
reopen_collecting - First observed
start_book
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
- FotifyOAuthapp.fotify
Create events, collect guest photos and manage RSVP invitations for weddings and parties.
- reefOAuthme.reefwith
Shared, living memory for you and your people — coves your AI assistant can read and write.
Greet people by name with friendly, personalized messages. Add a warm touch to onboarding, demos,…
Interactive video forms that capture authentic responses. Build engaging forms in minutes.
Related MCP Servers
- AlicenseAqualityAmaintenanceBuilds interactive, filterable timelines from your own materials through an interview process, generating self-contained offline files with optional web publishing and cross-device sync.15Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables humans and AI to collaboratively write a diary with time-ordered entries, replies, and participant-based access control via MCP tools.23MIT
- AlicenseNot gradedqualityDmaintenancePreserve grandma's handwritten recipe cards before they're lost. 13 MCP tools to OCR-import cards from photos, capture the story behind each dish (who made it, when, why), search by family member, plan meals, and share with cousins — backed by a real cookbook app that prints as a hardcover heirloom. Free tier, no credit card.MIT
- AlicenseBqualityBmaintenanceAccess your Carbon Voice conversations and voice memos—retrieving messages, conversations, voice memos, and more as well as send messages to Carbon Voice users.287210ISC
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool clearly targets a distinct part of the book lifecycle: starting, collecting, closing, reopening, sharing links, and checking collection or order status. There is no meaningful overlap or ambiguity between the tools.
Most tools follow a verb_noun pattern like start_book, close_collecting, and get_links, while book_status and order_status use a noun_status pattern. The bare 'order' tool breaks the pattern and could be seen as a noun or verb, making the naming slightly mixed but still readable.
Seven tools is well-scoped for the server's purpose: managing a message-collection book from creation through ordering. Each tool covers a necessary lifecycle step with no obvious redundancy.
The core lifecycle of starting, sharing, monitoring, closing, reopening, and ordering is well covered. Minor gaps exist around modifying or cancelling orders and retrieving pricing, but these are partially addressed through external links and the provided pricing URL.