Odichat

io.github.odichatPublished by GitHub account odichatv1.0.0Updated Oct 24, 2026

Manage your Odichat WhatsApp/IG/FB inbox from Claude: conversations, contacts, pipeline, reports.

Overview

AI-generated overview

Remote MCP server exposing the Odichat WhatsApp/Instagram/Facebook inbox API, letting an assistant manage conversations, contacts, pipelines and reports.

What you can do
  • Read and update account, profile, agents, agent bots and teams
  • List, create, update, delete and search contacts, labels and contact inboxes
  • Manage conversations: list, filter, create, assign, set status, priority, labels and custom attributes
  • List, send and delete messages, plus schedule messages
  • Manage inboxes, members, automation rules, canned responses, custom attributes, filters, webhooks and integrations
  • Pull account, agent, inbox, team and label reports, and work with Kanban boards, steps, tasks and audit events
When to use it
Useful when a team runs its customer conversations on Odichat and wants an assistant to triage inboxes, look up contacts, send or schedule replies, move Kanban tasks or pull support reports without switching apps.
Requirements
Remote endpoint at mcp.odichat.app over Streamable HTTP; an Odichat instance with API access and an API token from Profile → Access Token, supplied per request as a token query parameter. Self-hosting the stdio variant needs Bun and the ODICHAT_API_TOKEN environment variable.
Before you install
The token travels in the URL query string, so it can leak through logs, proxies or shared links; treat it as a secret. Many tools create, update or delete records, send messages and change automation rules, webhooks and integrations, so changes affect real customer data and live channels. The hosted server is stateless and multi-tenant, so each request carries its own token.

Installation

In SourceWeft

  1. Open Odichat in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Follow the launch instructions in the repository.

README

mcp-odichat

A Model Context Protocol (MCP) server that exposes the full Odichat API — including Odichat exclusive features — as 123 tools for use with AI assistants like Claude, ChatGPT, VS Code Copilot, and others.

Features

  • 123 tools covering all Odichat API endpoints
  • Account, Agents, Contacts, Conversations, Messages, Inboxes, Teams, and more
  • Reports (v1 & v2), Help Center, Automation Rules, Custom Attributes, Custom Filters
  • Odichat exclusive: Kanban Boards, Kanban Steps, Kanban Tasks, Kanban Audit Events, Scheduled Messages
  • Proper MCP tool annotations (readOnlyHint, destructiveHint, idempotentHint)
  • Multi-account support (account_id is a per-tool argument)
  • Two transports:
    • stdio — local subprocess (Claude Desktop, VS Code, and any MCP client)
    • Streamable HTTP — remote, hosted server (Claude Web/Desktop/Code, ChatGPT). Stateless; the API token is passed per request via a ?token= query param

Requirements

  • Bun v1.0+
  • An Odichat instance with API access

Installation

bash
bun install

Environment Variables

VariableRequiredDescription
ODICHAT_API_TOKENstdio onlyAPI access token (found in Odichat → Profile → Access Token). Not used by the HTTP transport.
MCP_TRANSPORTNoSet to http to run as a network server. Any other value (or unset) uses stdio.
PORTNoPort for the HTTP transport. Defaults to 3000.

In HTTP mode the token is not read from the environment — each client supplies its own token via the ?token= query param, keeping the server stateless and multi-tenant.

Usage

Development

bash
bun run dev

Production (stdio)

bash
bun run start

Production (remote HTTP server)

Run the server over HTTP with Bun.serve() and the web-standard Streamable HTTP transport:

bash
MCP_TRANSPORT=http PORT=3000 bun run src/index.ts

Or with Docker:

bash
docker build -t mcp-odichat .docker run -p 3000:3000 mcp-odichat

The server is stateless — no database, no sessions. Each request must include the caller's Odichat API token as a ?token= query param. SSL is expected to be terminated by an upstream proxy (e.g. Traefik).

Endpoints:

MethodPathDescription
POST/GET/mcpMCP Streamable HTTP endpoint
GET/healthHealth check (returns ok)

Connecting to a hosted server

Point any remote-MCP-capable client (Claude Web/Desktop/Code, ChatGPT) at the server URL with your token in the query string:

https://mcp.odichat.app/mcp?token=YOUR_API_TOKEN
  1. In Odichat, go to Profile → Access Token and copy your token.
  2. Add the URL above (with your token) as the MCP server URL in your AI client.

Local (stdio) client configuration

Claude Desktop Configuration

Add to your claude_desktop_config.json:

json
{  "mcpServers": {    "odichat": {      "command": "bun",      "args": ["run", "/path/to/mcp-odichat/src/index.ts"],      "env": {        "ODICHAT_API_TOKEN": "your-api-token"      }    }  }}

VS Code Configuration

Add to your .vscode/mcp.json:

json
{  "servers": {    "odichat": {      "command": "bun",      "args": ["run", "${workspaceFolder}/src/index.ts"],      "env": {        "ODICHAT_API_TOKEN": "your-api-token"      }    }  }}

ChatGPT Configuration

ChatGPT connects to remote MCP servers over HTTP — see Connecting to a hosted server above.

Available Tools (123)

Account (2)

account_get, account_update

Agent Bots (5)

agent_bots_list, agent_bots_create, agent_bots_get, agent_bots_update, agent_bots_delete

Agents (4)

agents_list, agents_create, agents_update, agents_delete

Audit Logs (1)

audit_logs_list

Automation Rules (5)

automation_rules_list, automation_rules_create, automation_rules_get, automation_rules_update, automation_rules_delete

Canned Responses (4)

canned_responses_list, canned_responses_create, canned_responses_update, canned_responses_delete

Contacts (11)

contacts_list, contacts_create, contacts_get, contacts_update, contacts_delete, contacts_conversations, contacts_search, contacts_filter, contacts_create_contact_inbox, contacts_contactable_inboxes, contacts_merge

Contact Labels (2)

contact_labels_list, contact_labels_set

Conversations (12)

conversations_meta, conversations_list, conversations_create, conversations_filter, conversations_get, conversations_update, conversations_toggle_status, conversations_toggle_priority, conversations_set_custom_attributes, conversations_get_labels, conversations_set_labels, conversations_reporting_events

Conversation Assignments (1)

conversation_assignments_assign

Messages (3)

messages_list, messages_create, messages_delete

Custom Attributes (5)

custom_attributes_list, custom_attributes_create, custom_attributes_get, custom_attributes_update, custom_attributes_delete

Custom Filters (5)

custom_filters_list, custom_filters_create, custom_filters_get, custom_filters_update, custom_filters_delete

Help Center (5)

help_center_portals_list, help_center_portals_create, help_center_portals_update, help_center_categories_create, help_center_articles_create

Inboxes (10)

inboxes_list, inboxes_get, inboxes_create, inboxes_update, inboxes_get_agent_bot, inboxes_set_agent_bot, inbox_members_list, inbox_members_create, inbox_members_update, inbox_members_delete

Integrations (4)

integrations_list_apps, integrations_create_hook, integrations_update_hook, integrations_delete_hook

Profile (1)

profile_get

Reports (9)

reports_account_overview, reports_account_summary, reports_agent_summary, reports_conversation_metrics, reports_v2_overview, reports_v2_agents, reports_v2_inboxes, reports_v2_teams, reports_v2_labels

Teams (9)

teams_list, teams_create, teams_get, teams_update, teams_delete, team_members_list, team_members_add, team_members_update, team_members_delete

Webhooks (4)

webhooks_list, webhooks_create, webhooks_update, webhooks_delete

Kanban Boards (6) — [Odichat]

kanban_boards_list, kanban_boards_create, kanban_boards_get, kanban_boards_update, kanban_boards_delete, kanban_boards_update_agents

Kanban Steps (5) — [Odichat]

kanban_steps_list, kanban_steps_create, kanban_steps_get, kanban_steps_update, kanban_steps_delete

Kanban Tasks (6) — [Odichat]

kanban_tasks_list, kanban_tasks_create, kanban_tasks_get, kanban_tasks_update, kanban_tasks_delete, kanban_tasks_move

Kanban Audit Events (2) — [Odichat]

kanban_audit_events_list, kanban_audit_events_get

Scheduled Messages (4) — [Odichat]

scheduled_messages_list, scheduled_messages_create, scheduled_messages_update, scheduled_messages_delete

Development

bash
# Run testsbun test
# Lint & formatbun run lintbun run format
# Type checkbun run build-check
# Full check (lint + type-check + tests)bun run check

License

MIT

Source: README.md at commit 43524a4

Tools

0
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Version history

1
  1. v1.0.0LatestSep 26, 2026

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