Connect the Slack API

• ✓ Messages
• ✓ Channels & history
• ✓ Members
• ✓ Token expiry
• — Webhooks

accounts_

get · workspace identity

channels_

list · history · join

messages_

send · update · delete

users_

list · get

reactions_

add

OAuth scopes requested

• Read your workspace identity
• Send, edit and delete messages as the bot
• Read channels and their history
• Read workspace members
• Add reactions

# Add Modiva's MCP server to your agent
{
  "mcpServers": {
    "modiva": {
      "url": "https://mcp.modiva.ai",
      "headers": { "Authorization": "Bearer $MODIVA_MCP_KEY" }
    }
  }
}

# Then connect Slack and call its tools, e.g.
accounts_list(provider="slack")

How do I connect the Slack API with Modiva?

Create a Modiva account, generate an MCP key, and connect Slack from your dashboard. Modiva runs the full OAuth flow and stores the encrypted token for you — no client secrets in your code.

What can I do with the Slack API through Modiva?

Send, edit and delete messages, browse channels and history, look up members and react across your Slack workspace. You get 10 typed tools grouped by resource (accounts_, channels_, messages_, users_, reactions_), callable over REST or the MCP server.

Do I need to handle OAuth or token refresh myself?

No. Modiva handles the Slack OAuth handshake, token storage (envelope-encrypted) and automatic refresh. You call a single unified endpoint.

Can an AI agent use the Slack API?

Yes — that is the point. Modiva exposes Slack as Model Context Protocol (MCP) tools, so agents like Claude, Cursor or your own app can read and act on Slack through one endpoint.