de en es ja ko ru zh

Geekbot MCP

Name: Geekbot MCP
Author: geekbot-com

Official

by geekbot-com

Overview Schema Source Related Servers Discussions(1)Admin

Python

Local

Geekbot MCP

Geekbot MCP-Logo Lizenz: MIT Python 3.10+ PyPI-Version Schmiedeabzeichen

Entsperren Sie Ihre Geekbot-Daten in Ihren LLM-Anwendungen 🚀

Der Geekbot MCP-Server (Model Context Protocol) fungiert als Brücke und verbindet LLM-Clientanwendungen (wie Claude, Cursor, Windsurf usw.) direkt mit Ihrem Geekbot-Arbeitsbereich. So können Sie nahtlos in Ihren Gesprächen mit Ihren Standups, Berichten und Teammitgliedern in natürlicher Sprache interagieren.

Hauptmerkmale ✨

Zugriff auf Standup- und Umfrageinformationen : Listen Sie alle Standups und Umfragen in Ihrem Geekbot-Arbeitsbereich auf. 📊
Standup-Berichte und Umfrageergebnisse abrufen : Rufen Sie Berichte und Umfrageergebnisse mit Filtern für bestimmte Standups, Benutzer oder Datumsbereiche ab. 📄
Teammitglieder anzeigen : Erhalten Sie eine Liste der Mitglieder, mit denen Sie in Geekbot zusammenarbeiten. 👥
Standup-Berichte posten : Posten Sie einen Standup-Bericht an Geekbot. 📝

Related MCP server: Notion MCP Server

Installation 💻

Installation über Smithery

So installieren Sie Geekbot MCP als Remote-Server über Smithery :

npx -y @smithery/cli install @geekbot-com/geekbot-mcp --client claude

Der Remote-Server wird mit jeder Version automatisch auf die neueste Version aktualisiert.

Weitere Informationen zur Datenschutzrichtlinie von Smithery

Manuelle Installation

Erfordert Python 3.10+ und uv .

Installieren Sie Python 3.10+ (falls noch nicht geschehen):
- macOS:
  brew install python@3.10
  Weitere Einzelheiten finden Sie in der Homebrew Python-Installationsanleitung .
- Ubuntu/Debian:
  sudo apt update sudo apt install python3.10
- Windows: Von Python.org herunterladen und installieren.
  Weitere Einzelheiten finden Sie im Windows Python-Installationshandbuch .
Installieren Sie uv (falls noch nicht geschehen):
- macOS/Linux: Führen Sie in Ihrem Terminal den folgenden Befehl aus:
  curl -LsSf https://astral.sh/uv/install.sh | sh
- Windows: Führen Sie in Ihrer PowerShell den folgenden Befehl aus:
  powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
(Weitere Optionen finden Sie in den UV-Installationsdokumenten .)
Geekbot MCP installieren/aktualisieren:
- macOS/Linux: Führen Sie in Ihrem Terminal den folgenden Befehl aus:
  uv tool install --upgrade geekbot-mcp
- Windows: Führen Sie in Ihrer PowerShell den folgenden Befehl aus:
  uv tool install --upgrade geekbot-mcp

Konfiguration ⚙️

Nach der Installation von Geekbot MCP können Sie es mit Ihrer LLM-Client-Desktopanwendung verbinden (z. B. Claude Desktop, Cursor, Windsurf usw.):

Holen Sie sich Ihren Geekbot-API-Schlüssel: Sie finden ihn in Ihren Geekbot-API-/Webhook-Einstellungen 🔑.
Suchen Sie den Pfad Ihrer uv ausführbaren Datei:

Linux/macOS: Führen Sie in Ihrem Terminal den folgenden Befehl aus:
```
  which uv
```

Windows: Führen Sie in Ihrer PowerShell den folgenden Befehl aus:

  (Get-Command uv | Select-Object -ExpandProperty Path) -replace '\\', '\\'

Konfigurieren Sie Ihre LLM-Client-Desktopanwendung: Jeder LLM-Client, der MCP unterstützt, bietet eine Konfigurationsdatei, die Sie bearbeiten können, um den Geekbot MCP-Server hinzuzufügen.

Wenn Sie einen anderen LLM-Client verwenden, lesen Sie bitte in der Dokumentation Ihres Clients nach, wie Sie den MCP-Server konfigurieren.

Nachdem Sie die Konfigurationsdatei gefunden haben, bearbeiten Sie sie, um den Geekbot MCP-Server hinzuzufügen:

    {
      "mcpServers": {
        "geekbot-mcp": {
          "command": "UV-PATH",
          "args": [
            "tool",
            "run",
            "geekbot-mcp"
          ],
          "env": {
            "GB_API_KEY": "YOUR-API-KEY"
          }
        }
      }
    }

Stellen Sie sicher, dass Sie Folgendes ersetzen:

UV-PATH mit dem Pfad zu Ihrer uv ausführbaren Datei aus Schritt 2
YOUR-API-KEY mit Ihrem Geekbot API-Schlüssel aus Schritt 1

Verwendung 💡

Nach der Konfiguration hat Ihre LLM-Clientanwendung Zugriff auf die folgenden Tools und Eingabeaufforderungen zur Interaktion mit Ihren Geekbot-Daten:

Werkzeuge 🛠️

list_standups

Zweck: Listet alle Standups auf, die über Ihren API-Schlüssel erreichbar sind. Nützlich, um sich einen Überblick zu verschaffen oder eine bestimmte Standup-ID zu finden.

Beispielaufforderung: „Hey, kannst du meine Geekbot-Standups auflisten?“

Zurückgegebene Datenfelder:

id : Eindeutige Standup-Kennung.
name : Name des Standups.
channel : Zugehöriger Kommunikationskanal (z. B. Slack-Kanal).
time : Geplante Zeit für den Standup-Bericht.
timezone : Zeitzone für die geplante Zeit.
questions : Liste der im Standup gestellten Fragen.
participants : Liste der Benutzer, die am Standup teilnehmen.
owner_id : ID des Standup-Eigentümers.
confidential : Ob das Standup vertraulich ist.
anonymous : Ob das Standup anonym ist.

list_polls

Zweck: Listet alle Umfragen auf, die über Ihren API-Schlüssel erreichbar sind. Nützlich, um sich einen Überblick zu verschaffen oder eine bestimmte Umfrage-ID zu finden.

Beispiel-Eingabeaufforderung: „Hey, kannst du meine Geekbot-Umfragen auflisten?“

Zurückgegebene Datenfelder:

id : Eindeutige Umfragekennung.
name : Name der Umfrage.
time : Geplante Zeit für die Umfrage.
timezone : Zeitzone für die geplante Zeit.
questions : Liste der in der Umfrage gestellten Fragen.
participants : Liste der Benutzer, die an der Umfrage teilnehmen.
creator : Der Ersteller der Umfrage.

fetch_reports

Zweck: Ruft bestimmte Standup-Berichte ab. Sie können nach Standup, Benutzer und Datumsbereich filtern.

Beispiel-Eingabeaufforderungen:

„Holen Sie sich die Berichte für gestern in der Retrospektive ab.“
„Zeigen Sie mir Berichte von Benutzer John Doe für das Standup ‚Weekly Sync‘.“
„Alle Berichte, die nach dem 1. Juni 2024 zum Daily Standup-Standup eingereicht werden, erhalten.“

Verfügbare Filter:

standup_id : Filtern Sie nach einer bestimmten Standup-ID.
user_id : Filtern Sie Berichte nach einer bestimmten Benutzer-ID.
after : Berichte abrufen, die nach diesem Datum (JJJJ-MM-TT) übermittelt wurden 🗓️.
before : Ruft Berichte ab, die vor diesem Datum (JJJJ-MM-TT) übermittelt wurden 🗓️.

Zurückgegebene Datenfelder:

id : Eindeutige Berichtskennung.
reporter_name : Name des Benutzers, der den Bericht übermittelt hat.
reporter_id : ID des Benutzers, der den Bericht übermittelt hat.
standup_id : ID des Standups, zu dem der Bericht gehört.
created_at : Zeitstempel, wann der Bericht übermittelt wurde.
content : Die eigentlichen Antworten/Inhalte des Berichts.

post_report

Zweck: Postet einen Bericht an Geekbot.

Beispiel-Eingabeaufforderung: „Hey, kannst du den Bericht für das tägliche Standup posten?“

Zurückgegebene Datenfelder:

id : Eindeutige Berichtskennung.
reporter_name : Name des Benutzers, der den Bericht übermittelt hat.
reporter_id : ID des Benutzers, der den Bericht übermittelt hat.
standup_id : ID des Standups, zu dem der Bericht gehört.
created_at : Zeitstempel, wann der Bericht übermittelt wurde.
content : Die eigentlichen Antworten/Inhalte des Berichts.

list_members

Zweck: Listet alle Teammitglieder auf, mit denen Sie Standups in Ihrem Geekbot-Arbeitsbereich teilen.

Beispiel-Eingabeaufforderung: „Wer sind die Mitglieder in meinem Geekbot-Arbeitsbereich?“

Zurückgegebene Datenfelder:

id : Eindeutige Mitgliedskennung.
name : Vollständiger Name des Mitglieds.
email : E-Mail-Adresse des Mitglieds.
role : Rolle des Mitglieds innerhalb von Geekbot (z. B. Administrator, Mitglied).

fetch_poll_results

Zweck: Ruft bestimmte Umfrageergebnisse ab. Erfordert eine Umfrage-ID und optional einen Datumsbereich.

Beispiel-Eingabeaufforderung: „Hey, was wurde in den Geekbot-Umfragen über das neue Logo entschieden?“

Zurückgegebene Datenfelder:

total_results : Gesamtzahl der Ergebnisse.
question_results : Liste der Frageergebnisse.

Eingabeaufforderungen 💬

weekly_rollup_report

Zweck: Generiert einen umfassenden wöchentlichen Rollup-Bericht, der die Standup-Reaktionen des Teams zusammenfasst, wichtige Aktualisierungen hervorhebt, Risiken und Minderungsstrategien identifiziert, die nächsten Schritte skizziert und bevorstehende Produkteinführungen verfolgt.

Tipps 💡

Tool-Nutzung überprüfen : Der Agent fragt Sie bei jeder Tool-Aktion ausdrücklich nach Ihrer Zustimmung und lässt keine automatischen Tool-Aufrufe zu. Diese Sicherheitsfunktion gewährleistet, dass Sie die Kontrolle über sensible Vorgänge behalten, insbesondere beim Posten von Berichten an Geekbot. Sie werden aufgefordert, jeden Tool-Aufruf vor der Ausführung zu überprüfen und freizugeben, um unbeabsichtigte Datenübermittlungen zu vermeiden.
Vorschau anfordern : Bevor Sie einen Bericht veröffentlichen, bitten Sie den Agenten, eine Vorschau des Berichts anzuzeigen, ihn aber nicht direkt zu veröffentlichen. So haben Sie die Möglichkeit, den Bericht zu überprüfen und seine Richtigkeit sicherzustellen oder Änderungen vorzunehmen, bevor Sie ihn auf Geekbot veröffentlichen.
Begrenzen Sie die Menge der abgerufenen Daten : Wenn Sie das Tool fetch_reports verwenden, begrenzen Sie den Zeitraum auf einen angemessenen Zeitraum. Dadurch wird verhindert, dass der Agent große Datenmengen abruft und dadurch Leistungsprobleme entstehen. Beachten Sie, dass der Agent die Anzahl der abzurufenden Berichte begrenzt.

Argumente:

standup_id : ID des Standups, das in den Rollup-Bericht aufgenommen werden soll.

Entwicklung 🧑‍💻

Möchten Sie einen Beitrag leisten oder den Server lokal betreiben?

Einrichten der Entwicklungsumgebung

# 1. Clone the repository
git clone https://github.com/geekbot-com/geekbot-mcp.git
cd geekbot-mcp

# 2. Install uv (if needed)
# curl -LsSf https://astral.sh/uv/install.sh | sh

# 3. Create a virtual environment and install dependencies
uv sync

Tests durchführen ✅

# Ensure dependencies are installed (uv sync)
pytest

Mitwirken 🤝

Beiträge sind willkommen! Bitte forken Sie das Repository und senden Sie einen Pull Request mit Ihren Änderungen.

Lizenz 📜

Dieses Projekt ist unter der MIT-Lizenz lizenziert.

Danksagungen 🙏

Basierend auf dem Anthropic Model Context Protocol- Framework.
Nutzt die offizielle Geekbot-API .

Available Tools

6 tools

fetch_poll_resultsB

Retrieves Geekbot poll results. Use this tool to analyze poll results or track progress of polls. This tool is usually used after the list_polls tool to get the poll id.

ParametersJSON Schema

Name	Required	Description
`poll_id`	Yes	ID of the specific standup to fetch reports for. If not provided, reports for all standups will be fetched.
`before`	No	Fetch results before this date (format: YYYY-MM-DD). This is not provided unless explicitly asked by the user.
`after`	No	Fetch results after this date (format: YYYY-MM-DD). This is not provided unless explicitly asked by the user.

TDQS

B3.3/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must cover behavioral traits. It does not mention whether the operation is read-only, what happens if the poll_id is invalid, or any side effects. This is insufficient for a retrieval tool with no structured behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: first clearly states the action, second provides a usage hint. It is front-loaded and contains no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and three parameters, the description is too brief. It does not explain the return format, pagination, error behavior, or what data is included in the results. Agents need more context to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% coverage with descriptions, but the poll_id description says 'ID of the specific standup to fetch reports for', which appears inconsistent with the tool name (polls vs standups). The tool description does not clarify or correct this, so it does not add meaningful value beyond the schema and may even mislead.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Retrieves Geekbot poll results' with a specific verb and resource, and also provides use cases (analyze results, track progress). It implies differentiation from siblings like list_polls (which lists polls) by noting it is used after list_polls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions it is 'usually used after the list_polls tool to get the poll id', providing a sequential usage hint. However, it does not explicitly compare to alternatives like fetch_reports or state when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

fetch_reportsA

Retrieves Geekbot standup reports. Use this tool to analyze team updates or updates from specific colleagues, track progress, or compile summaries of standup activities. This tool is usually used after the list_standups tool.

ParametersJSON Schema

Name	Required	Description
`standup_id`	No	ID of the specific standup to fetch reports for. If not provided, reports for all standups will be fetched.
`user_id`	No	ID of the specific user to fetch reports for. If not provided, reports for all members will be fetched.
`after`	No	Fetch reports after this date (format: YYYY-MM-DD)
`before`	No	Fetch reports before this date (format: YYYY-MM-DD)

TDQS

A3.7/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must fully disclose behavioral traits. It only states 'Retrieves' without mentioning any potential issues like large result sets if no filters are applied, authentication requirements, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise with two sentences. The first sentence states the core purpose, and the second provides context on usage and ordering. No unnecessary information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 optional parameters and no output schema, the description adequately covers purpose and usage hint but lacks behavioral details (e.g., default behavior when no filters are set). It is minimally sufficient but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage for all 4 parameters. The description does not add any additional meaning beyond the schema, so it meets the baseline without adding value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves Geekbot standup reports, uses specific verbs, and provides use cases like analyzing team updates. It distinguishes from siblings by mentioning it is used after list_standups, differentiating it from fetch_poll_results.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use the tool (to analyze standup reports) and suggests it is typically used after list_standups. However, it does not explicitly state when not to use it or mention alternatives like fetch_poll_results.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_membersA

Lists all team members participating in the standups and polls of the user. Use this tool to get information about the colleagues of the user

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A3.8/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description only implies read-only behavior. It does not disclose permissions, limits, or any side effects, failing to compensate for missing annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two brief sentences convey the purpose and usage without any unnecessary words. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with no parameters, the description adequately covers what it returns and its context. Lack of output schema is acceptable for such a straightforward function.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0 parameters, the baseline is 4. The description adds no further parameter information, but none is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Lists') and the resource ('team members participating in standups and polls'). It distinguishes from siblings like list_polls and list_standups by focusing on members.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides guidance to 'get information about colleagues' but lacks explicit when-not-to-use or alternatives. The sibling tools are different enough that confusion is unlikely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_pollsA

Retrieves and displays all Geekbot polls a user has access to, including their complete configuration details such as name, time, timezone, questions, participants, recurrence, anonymous, and creator.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A4/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description bears the full burden. It indicates a read operation ('Retrieves and displays'), but lacks details on side effects, pagination, or error handling. The description is adequate for a simple list but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single well-formed sentence that front-loads the purpose and includes key details. Every word earns its place; no unnecessary content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters and no output schema, the description lists the fields returned, which is sufficient for understanding what the tool does. It does not cover error scenarios, but for a simple list tool, it is complete enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no parameters (100% coverage vacuously). The description adds meaning by enumerating the configuration fields returned (name, time, timezone, etc.), which is helpful beyond the empty schema. A baseline of 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Retrieves and displays' and the resource 'all Geekbot polls a user has access to', with specific fields listed (name, time, etc.). It distinguishes from siblings like fetch_poll_results and list_standups.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies that this tool is for listing polls, but it does not explicitly state when to use it over alternatives (e.g., fetch_poll_results, list_standups) or any prerequisites (e.g., user authentication). It provides clear context but no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_standupsA

Retrieves and displays all Geekbot standups a user has access to, including their complete configuration details such as name, channel, questions, participants, and schedule information. Use this tool to understand the structure of the team and the processes they use track progress and sync.

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

A4/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behaviors. It mentions returning configuration details but lacks details on pagination, performance, or limitations. 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences: first states action and scope, second gives usage guidance. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description is mostly complete for a zero-param retrieval tool. It could mention pagination or return structure limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has no parameters, so the description need not add param info. Baseline 4 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that it retrieves all Geekbot standups with configuration details, using a specific verb+resource. It distinguishes from siblings like list_members and list_polls.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a usage context ('understand structure of the team and processes') but does not explicitly compare to alternatives or give when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

post_reportA

Posts a report to Geekbot. Use this tool to post a report to Geekbot using the context of the conversation. This tool is usually used after the list_standups tool to get the standup id and the question ids. If the context of the conversation lacks sufficient information to answer the questions of the standup, the assistant will ask for the missing information. The report should be beautifully formatted. ALWAYS type formatted reporte in the conversation for preview purposes before calling this tool.

ParametersJSON Schema

Name	Required	Description	Default
`standup_id`	Yes	ID of the specific standup to post the report to.
`answers`	Yes	An object where keys are the string representation of question IDs and values are objects containing the answer text. All questions of the standup must be included in the object.

TDQS

A4.3/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. It discloses the need for preview and handling of missing info, but does not explain success/failure behavior, side effects, or idempotency. Minor typo 'reporte' but not impactful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is informative but somewhat verbose with slight redundancy (first two sentences say similar things). Could be more concise while retaining key guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers workflow (list_standups associations, preview requirement, missing info handling) but lacks explanation of expected output or error conditions. Adequate but could be more complete given no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage, baseline 3. Description adds value by explaining that standup_id comes from list_standups and that answers must include all question IDs, beyond the schema's description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Posts a report to Geekbot' and distinguishes from sibling tools (fetch/list operations). It specifies the verb (post) and resource (report), providing unambiguous purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states it is used after `list_standups` to obtain IDs, instructs to ask for missing information, and requires a formatted preview before calling. This provides clear when-to-use and preparatory steps.

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.

7 tool updatesv0.3.4May 6, 2026
- Addedfetch_poll_results
- Changedfetch_reports15 fields changed
  - removedInput schema / properties / after / default
```
Removed value: -null
```
  - addedInput schema / properties / after / description
```
Added value: +"Fetch reports after this date (format: YYYY-MM-DD)"
```
  - removedInput schema / properties / after / title
```
Removed value: -"After"
```
  - removedInput schema / properties / before / default
```
Removed value: -null
```
  - addedInput schema / properties / before / description
```
Added value: +"Fetch reports before this date (format: YYYY-MM-DD)"
```
  - removedInput schema / properties / before / title
```
Removed value: -"Before"
```
  - removedInput schema / properties / standup_id / default
```
Removed value: -null
```
  - addedInput schema / properties / standup_id / description
```
Added value: +"ID of the specific standup to fetch reports for. If not provided, reports for all standups will be fetched."
```
  - removedInput schema / properties / standup_id / title
```
Removed value: -"Standup Id"
```
  - removedInput schema / properties / user_id / default
```
Removed value: -null
```
  - addedInput schema / properties / user_id / description
```
Added value: +"ID of the specific user to fetch reports for. If not provided, reports for all members will be fetched."
```
  - removedInput schema / properties / user_id / title
```
Removed value: -"User Id"
```
  - changedInput schema / properties / user_id / type
```
Previous value: -"integer"New value: +"string"
```
  - addedInput schema / required
```
Added value: +[]
```
  - removedInput schema / title
```
Removed value: -"fetch_reportsArguments"
```
- Removedfetch_standups
- Addedlist_members
- Addedlist_polls
- Addedlist_standups
- Addedpost_report
2 tool updatesv1.0.0Mar 28, 2025
- First observedfetch_reports
- First observedfetch_standups

Deploy Server

Pay for results, not tokens.Fund a bounty. Let AI agents compete and collaborate to solve your problems.agentbounties.appAd

TDQS

A3.9/5.0

Scored 2026-05-06 14:55 across 6 tools

Disambiguation5/5

Each tool targets a distinct resource or action: lists for polls, standups, and members; fetches for results and reports; and a single write tool. No two tools overlap in purpose.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using snake_case (e.g., fetch_poll_results, list_standups), making naming predictable and easy to understand.

Tool Count5/5

With 6 tools, the set is well-scoped for a Geekbot integration, covering essential read operations and one write operation without being overly large or too small.

Completeness3/5

The tool set covers listing and fetching for polls and standups, but lacks create, update, or delete operations for polls and standups, and only includes one write tool (post_report). Notable gaps exist in managing resources.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

Need Help?

Reddit Discussion

Related Servers

Related MCP Connectors

Remote Desktop CommanderOAuth
app.desktopcommander
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
Shell Access OS Automation
2145
Fathom MCP ServerOAuth
io.github.agencyenterprise
Connect Claude to Fathom meeting recordings, transcripts, and summaries
Communication App Automation Search
216
Artificial Wit AIOAuth
com.artificialwit
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
ERP Systems CRM Knowledge & Memory
2
RootrOAuth
io.github.inspirio-co
Connect your team's living knowledge base — docs, data, issues, CRM — to Claude and ChatGPT.
RAG Systems Knowledge & Memory CRM
2

Related MCP Servers

MCP Relay Server
Communication App Automation
emiliobool
A
license
Not graded
quality
D
maintenance
This server allows integration with Discord, enabling message exchanges between Claude and a Discord channel using prompts and notifications.
Updated 2 years ago (2025-01-26 05:31 UTC)
12 npm
1
MIT
Notion MCP Server
Note Taking Content Management Systems App Automation
arre-ankit
A
license
Not graded
quality
D
maintenance
A simple server that integrates with Claude to allow querying and manipulating Notion pages and databases through natural language prompts.
Updated 2 years ago (2024-12-06 06:41 UTC)
4,521 npm
MIT
Inkeep MCP Serverofficial
RAG Systems Documentation Access
inkeep
A
license
Not graded
quality
D
maintenance
A server that connects Claude to your documentation via Inkeep's API, enabling AI-powered interactions with your documentation content.
Updated 2 years ago (2025-04-10 19:49 UTC)
25
MIT
Claudeus Plane MCP
Project Management Autonomous Agents
deus-h
F
license
Not graded
quality
D
maintenance
A server that bridges Claude AI with the Plane project management platform, enabling AI-powered project management tasks including project creation, task management, team collaboration, and automated workflows.
Updated 2 years ago (2025-01-31 08:56 UTC)
5
-

Geekbot MCP

Hauptmerkmale ✨

Installation 💻

Installation über Smithery

Manuelle Installation

Konfiguration ⚙️

Verwendung 💡

Werkzeuge 🛠️

Eingabeaufforderungen 💬

Tipps 💡

Entwicklung 🧑‍💻

Einrichten der Entwicklungsumgebung

Tests durchführen ✅

Mitwirken 🤝

Lizenz 📜

Danksagungen 🙏

Available Tools

Tool Schema Changelog

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

Inkeep MCP Serverofficial