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Vexa MCP Server

MCP server for Vexa meeting bots, real-time transcripts, recordings, meeting chat, bot speech, calendar workflows, webhooks, and self-hosted meeting APIs.

by Vexa AI · submitted by oktofeesh1·added 2026-06-05·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/Vexa-ai/vexa/blob/main/docs/vexa-mcp.mdx, https://github.com/Vexa-ai/vexa, https://vexa.ai
Brand
Vexa
Brand domain
vexa.ai
Brand asset source
brandfetch
Safety notes
Vexa MCP can request bots to join meetings, stop bots, parse meeting links, read transcripts, manage recordings, create transcript share links, send and read meeting chat, make the bot speak, share screen content, update bot config, connect calendars, and configure webhooks., Meeting URLs, IDs, passcodes, bot names, platform names, participant data, recordings, transcript share links, and API keys require careful handling., Public transcript share links and recording download URLs should be short-lived and shared only with approved recipients., Interactive bot tools can visibly act in live meetings; require human approval before using chat, speech, or screen-sharing tools., The service README includes a DoD table that marks several MCP checks as untested, so validate the exact deployment path before production use.
Privacy notes
Audio, transcripts, speaker labels, meeting metadata, chat messages, recordings, screenshots, participant names, calendar events, webhook payloads, meeting notes, API keys, and tool results may be visible to the MCP client and model provider., Hosted Vexa sends meeting data to Vexa-operated infrastructure; self-hosted deployments still may use hosted transcription tokens unless fully self-hosting transcription., Browser bot sessions can persist authenticated browser state through storage such as S3-compatible backends., Logs, databases, object storage, share links, webhook receivers, and AI prompts can retain sensitive meeting content after a call ends.
Author
Vexa AI
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-05

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

30 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Have accounts and credentials ready first. Includes a review or approval gate.

0/5 ready
Account & credentials1Install & runtime1Permissions & scopes1Review & approval230 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 4 risk areas. Review closely: credentials & tokens, network access.

4 areas
  • SafetyNetwork accessVexa MCP can request bots to join meetings, stop bots, parse meeting links, read transcripts, manage recordings, create transcript share links, send and read meeting chat, make the bot speak, share screen content, update bot config, connect calendars, and configure webhooks.
  • SafetyCredentials & tokensMeeting URLs, IDs, passcodes, bot names, platform names, participant data, recordings, transcript share links, and API keys require careful handling.
  • SafetyNetwork accessPublic transcript share links and recording download URLs should be short-lived and shared only with approved recipients.
  • SafetyGeneralInteractive bot tools can visibly act in live meetings; require human approval before using chat, speech, or screen-sharing tools.
  • SafetyLocal filesThe service README includes a DoD table that marks several MCP checks as untested, so validate the exact deployment path before production use.
  • PrivacyCredentials & tokensAudio, transcripts, speaker labels, meeting metadata, chat messages, recordings, screenshots, participant names, calendar events, webhook payloads, meeting notes, API keys, and tool results may be visible to the MCP client and model provider.
  • PrivacyCredentials & tokensHosted Vexa sends meeting data to Vexa-operated infrastructure; self-hosted deployments still may use hosted transcription tokens unless fully self-hosting transcription.
  • PrivacyCredentials & tokensBrowser bot sessions can persist authenticated browser state through storage such as S3-compatible backends.
  • PrivacyNetwork accessLogs, databases, object storage, share links, webhook receivers, and AI prompts can retain sensitive meeting content after a call ends.

Safety notes

  • Vexa MCP can request bots to join meetings, stop bots, parse meeting links, read transcripts, manage recordings, create transcript share links, send and read meeting chat, make the bot speak, share screen content, update bot config, connect calendars, and configure webhooks.
  • Meeting URLs, IDs, passcodes, bot names, platform names, participant data, recordings, transcript share links, and API keys require careful handling.
  • Public transcript share links and recording download URLs should be short-lived and shared only with approved recipients.
  • Interactive bot tools can visibly act in live meetings; require human approval before using chat, speech, or screen-sharing tools.
  • The service README includes a DoD table that marks several MCP checks as untested, so validate the exact deployment path before production use.

Privacy notes

  • Audio, transcripts, speaker labels, meeting metadata, chat messages, recordings, screenshots, participant names, calendar events, webhook payloads, meeting notes, API keys, and tool results may be visible to the MCP client and model provider.
  • Hosted Vexa sends meeting data to Vexa-operated infrastructure; self-hosted deployments still may use hosted transcription tokens unless fully self-hosting transcription.
  • Browser bot sessions can persist authenticated browser state through storage such as S3-compatible backends.
  • Logs, databases, object storage, share links, webhook receivers, and AI prompts can retain sensitive meeting content after a call ends.

Prerequisites

  • Node.js and npx available for the `mcp-remote` client bridge.
  • Vexa API key for hosted Vexa or an approved self-hosted Vexa deployment.
  • Meeting organizer permission and participant consent before joining, recording, transcribing, chatting, speaking, or screen-sharing through a bot.
  • Platform policy review for Google Meet, Microsoft Teams, and Zoom bot participation.
  • Storage, transcript retention, recording retention, webhook, calendar, and share-link policies reviewed before use.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
30 minutes
Difficulty
advanced
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "vexa": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "VEXA_MCP_ENDPOINT_URL",
        "--header",
        "X-API-Key: ${VEXA_API_KEY}"
      ],
      "env": {
        "VEXA_API_KEY": "${VEXA_API_KEY}"
      }
    }
  }
}

About this resource

Content

Vexa MCP Server exposes Vexa meeting bot and transcription capabilities through MCP. It lets Claude request bots for Google Meet, Microsoft Teams, and Zoom, fetch transcripts, manage recordings, create transcript share links, control meeting chat or bot speech, configure webhooks, and work with meeting metadata.

The MCP service is implemented as a FastAPI proxy over Vexa's API gateway. The repo supports hosted Vexa API usage, Vexa Lite for a single-container self-hosted deployment, Docker Compose for multi-service deployments, and service-specific MCP docs for client setup.

Source Review

These sources were reviewed on 2026-06-05. Prefer the live repository, README, MCP docs, MCP service source, service config, requirements, deployment guides, and Vexa docs for current tool names, deployment paths, API key handling, platform support, transcript APIs, WebSocket behavior, and service maturity.

Features

  • Parse meeting links into platform, meeting ID, and passcode fields.
  • Request or stop meeting bots for Google Meet, Microsoft Teams, and Zoom.
  • Fetch live or post-meeting transcripts with speaker attribution.
  • Create temporary transcript share links and meeting bundles.
  • List, fetch, download, and delete recordings.
  • Send or read meeting chat messages through an interactive bot.
  • Make the bot speak with text-to-speech or stop speaking.
  • Configure recording defaults, webhooks, calendar connection, and meeting metadata.
  • Use a hosted Vexa endpoint or self-host Vexa Lite, Docker Compose, or Helm deployments.

Installation

For the quickest self-hosted evaluation, the repository documents Vexa Lite:

git clone https://github.com/Vexa-ai/vexa.git
cd vexa
make lite

For MCP clients, configure mcp-remote with the hosted or self-hosted MCP endpoint and an API key:

{
  "mcpServers": {
    "vexa": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "VEXA_MCP_ENDPOINT_URL",
        "--header",
        "X-API-Key: ${VEXA_API_KEY}"
      ],
      "env": {
        "VEXA_API_KEY": "${VEXA_API_KEY}"
      }
    }
  }
}

Use the hosted Vexa endpoint only when your meeting data handling policy allows it. For self-hosted deployments, use the MCP service endpoint from your own Vexa environment.

Use Cases

  • Ask Claude to join a meeting as an approved notetaking bot.
  • Fetch the current transcript during a live call.
  • Build a post-meeting summary from transcripts, recordings, and meeting metadata.
  • Send a short approved chat message from the bot.
  • Trigger post-meeting transcription of a recording.
  • Configure webhooks for meeting events.
  • Connect calendar data for upcoming meeting workflows.
  • Use self-hosting when meeting data must remain under your infrastructure.

Safety and Privacy

Meeting automation is high-trust. Obtain organizer permission and participant consent before joining, recording, transcribing, chatting, speaking, sharing screen content, or creating share links. Review Google Meet, Microsoft Teams, Zoom, and local legal requirements before use.

Treat transcripts, recordings, share links, browser sessions, chat messages, calendar events, and webhook payloads as sensitive meeting data. Hosted Vexa may send data to Vexa-operated infrastructure, while self-hosted deployments still need careful storage, retention, token, logging, and transcription-service configuration.

Duplicate Check

No Vexa-ai/vexa entry, Vexa MCP Server entry, or matching source URL was found in content/mcp.

Source citations

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How it compares

Vexa MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).

Field

MCP server for Vexa meeting bots, real-time transcripts, recordings, meeting chat, bot speech, calendar workflows, webhooks, and self-hosted meeting APIs.

Open dossier

Extract valuable insights from meeting transcripts and summaries

Open dossier

MCP server for Microsoft Teams channel workflows, including reading threads, posting new threads, replying to threads, mentioning members, and listing team members.

Open dossier

Open-source MCP servers for accessing ACI.dev managed functions through app-specific tools or a unified search-and-execute interface.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustDiffersPackage not verifiedPackage verifiedPackage not verifiedPackage not verified
Source provenanceDiffersSource-backedNo submission linkSource-backedSource-backed
SubmitterDiffersoktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandVexa logoVexaFireflies logoFirefliesACI.dev logoACI.dev
Categorymcpmcpmcpmcp
SourceSource-backedFirst-partySource-backedSource-backed
AuthorVexa AIFirefliesInditexTechAipolabs
Added2026-06-052025-09-182026-06-062026-06-05
Platforms
Harness
Source repo
Safety notesVexa MCP can request bots to join meetings, stop bots, parse meeting links, read transcripts, manage recordings, create transcript share links, send and read meeting chat, make the bot speak, share screen content, update bot config, connect calendars, and configure webhooks. Meeting URLs, IDs, passcodes, bot names, platform names, participant data, recordings, transcript share links, and API keys require careful handling. Public transcript share links and recording download URLs should be short-lived and shared only with approved recipients. Interactive bot tools can visibly act in live meetings; require human approval before using chat, speech, or screen-sharing tools. The service README includes a DoD table that marks several MCP checks as untested, so validate the exact deployment path before production use.Connect only meetings and workspaces intended for AI review, especially when transcripts include customers or internal discussions.MCP Teams Server can start new channel threads, reply to existing threads, mention members, read thread replies, list channel threads, look up members by name, and list team members. Posting or replying in Microsoft Teams can notify real teammates and create persistent workplace records. Mentioning a member can trigger direct notifications, so require human review before allowing model-generated mentions. Channel read tools can expose existing conversations, replies, message IDs, pagination cursors, and team member context to the model. The required Microsoft Graph permission includes ChannelMessage.Read.All resource-specific consent, and Teams app permissions include message send/read and member read scopes. Use a dedicated bot application, scoped Team ID, scoped Channel ID, least-privilege permissions, and explicit approval for every write operation. Launch with `uvx --from git+https://github.com/InditexTech/mcp-teams-server mcp-teams-server` or from a verified checkout; do not use plain `uv run mcp-teams-server` from untrusted workspaces because local projects, virtual environments, or PATH entries can hijack the executable while receiving Teams secrets.The unified server can discover and execute many ACI.dev managed functions, so restrict permissions before connecting it to an autonomous agent. App-specific servers should be preferred when a workflow only needs a small set of integrations. Connected apps may read, create, update, delete, or send data depending on the selected functions and linked account permissions. Require human approval before email, calendar, CRM, ticketing, infrastructure, billing, deployment, or account-administration actions.
Privacy notesAudio, transcripts, speaker labels, meeting metadata, chat messages, recordings, screenshots, participant names, calendar events, webhook payloads, meeting notes, API keys, and tool results may be visible to the MCP client and model provider. Hosted Vexa sends meeting data to Vexa-operated infrastructure; self-hosted deployments still may use hosted transcription tokens unless fully self-hosting transcription. Browser bot sessions can persist authenticated browser state through storage such as S3-compatible backends. Logs, databases, object storage, share links, webhook receivers, and AI prompts can retain sensitive meeting content after a call ends.Meeting transcripts, summaries, speaker names, attendee metadata, and conversation details may be sent through model context.Teams channels can contain customer data, employee names, emails, incident details, roadmap discussions, support conversations, credentials, links, and confidential attachments or references. Tool calls and logs can expose TEAMS_APP_ID, tenant IDs, team IDs, channel IDs, thread IDs, message IDs, member names, member emails, message bodies, replies, mentions, and pagination cursors. TEAMS_APP_PASSWORD, client secrets, tenant IDs, bot configuration, and `.env` files should stay out of prompts, issues, logs, screenshots, and committed files. Claude-generated messages may become discoverable records under organization retention, compliance, and eDiscovery policies.Tool names, function arguments, prompts, linked account identifiers, execution results, logs, and connected-service data may pass through ACI.dev, the selected third-party apps, the MCP client, and the model provider. API keys and linked-account credentials must be protected in client config, environment files, logs, screenshots, and shared prompts. Review ACI.dev account, tenant, retention, audit-log, and OAuth settings before routing production or customer data through the server.
Prerequisites
  • Node.js and npx available for the `mcp-remote` client bridge.
  • Vexa API key for hosted Vexa or an approved self-hosted Vexa deployment.
  • Meeting organizer permission and participant consent before joining, recording, transcribing, chatting, speaking, or screen-sharing through a bot.
  • Platform policy review for Google Meet, Microsoft Teams, and Zoom bot participation.
  • Fireflies.ai account (sign up at https://fireflies.ai if needed)
  • Fireflies API key (obtain from Fireflies settings/API section)
  • OAuth authentication support (for workspace access)
  • HTTP transport support (remote MCP server at https://api.fireflies.ai/mcp)
  • Python 3.10 and uv/uvx available to the MCP client runtime.
  • Microsoft Teams account and a Team/Channel where the bot app is installed.
  • Microsoft Entra ID application registration with client secret credentials.
  • Azure Bot registration connected to the Microsoft Teams channel.
  • ACI.dev account, API key, and linked account owner ID.
  • Connected app credentials or linked accounts for the tools the agent should use.
  • MCP client that can launch Python package commands with environment variables.
  • Clear allowlist of apps, functions, and user accounts before exposing write-capable tools.
Install
git clone https://github.com/Vexa-ai/vexa.git && cd vexa && make lite
claude mcp list && claude mcp status fireflies
uvx --from git+https://github.com/InditexTech/mcp-teams-server mcp-teams-server
uvx aci-mcp unified-server --linked-account-owner-id YOUR_LINKED_ACCOUNT_OWNER_ID
Config
{
  "mcpServers": {
    "vexa": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "VEXA_MCP_ENDPOINT_URL",
        "--header",
        "Authorization: Bearer ${VEXA_API_KEY}"
      ],
      "env": {
        "VEXA_API_KEY": "${VEXA_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "fireflies": {
      "url": "https://api.fireflies.ai/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "msteams": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/InditexTech/mcp-teams-server", "mcp-teams-server"],
      "env": {
        "TEAMS_APP_ID": "<entra-app-id>",
        "TEAMS_APP_PASSWORD": "<client-secret>",
        "TEAMS_APP_TYPE": "SingleTenant",
        "TEAMS_APP_TENANT_ID": "<tenant-id>",
        "TEAM_ID": "<team-id>",
        "TEAMS_CHANNEL_ID": "<channel-id>"
      }
    }
  }
}
{
  "mcpServers": {
    "aci": {
      "command": "uvx",
      "args": [
        "aci-mcp",
        "unified-server",
        "--linked-account-owner-id",
        "YOUR_LINKED_ACCOUNT_OWNER_ID"
      ],
      "env": {
        "ACI_API_KEY": "YOUR_ACI_API_KEY"
      }
    }
  }
}
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