Manage your Todoist tasks and projects using the Todoist Python API.
A Todoist MCP server written in Python, using the Todoist Python API. I first created the server by using Claude to translate this TypeScript Todoist MCP server to Python. I'm gradually changing and adding functionality to suit my workflow as I experiment with using Claude to help with task management.
Add the MCP server to your claude_desktop_config.json,
{
"mcpServers": {
"todoist": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mikemc/todoist-mcp-server",
"todoist-mcp"
],
"env": {
"TODOIST_API_TOKEN": "your_todoist_api_token"
}
}
}
}
Or, to run from a local copy,
{
"mcpServers": {
"todoist": {
"command": "uvx",
"args": [
"--from",
"/absolute/path/to/todoist-mcp-server",
"todoist-mcp"
],
"env": {
"TODOIST_API_TOKEN": "your_todoist_api_token"
}
}
}
}
You can use Goose and a local LLM provider: LM Studio or Ollama.
Configure the LLM you want Goose to use:
$ goose configure
This command will ask you whether you want to use a local model or a cloud hosted model. Ensure your model provider is running your model first. Specify the address of the model API, and the model name. Many locally deployed LLMs use a format compatible with Ollama
, so for both LM Studio
or Ollama
LLMs, select Ollama
.
◇ Which model provider should we use?
│ Ollama
│
◇ Provider Ollama requires OLLAMA_HOST, please enter a value
│ localhost:1234
│
◇ Model fetch complete
│
◇ Enter a model from that provider:
│ phi-4
Then run the same command again to configure the Todoist MCP:
$ goose configure
This time it will ask about extensions:
◇ What would you like to configure?
│ Add Extension
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ todoist
│
◇ What command should be run?
│ uvx git+https://github.com/mikemc/todoist-mcp-server
│
◇ Please set the timeout for this tool (in secs):
│ 60
│
◇ Would you like to add a description?
│ No
│
◇ Would you like to add environment variables?
│ Yes
│
◇ Environment variable name:
│ TODOIST_API_TOKEN
│
◇ Environment variable value:
│ ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
│
◇ Add another environment variable?
│ No
│
└ Added todoist extension
Now you can run goose
and ask it questions about your todo list, or make changes.
$ goose
starting session | provider: ollama model: phi-4
logging to ******
working directory: ******
Goose is running! Enter your instructions, or try asking what goose can do.
( O)> how many todo list tasks have I completed in the last 7 days
─── todoist_get_tasks | todoist ──────────────────────────
filter: last 7 days completed
...
*Ideally* You have been very busy this week. You have completed 15 tasks! Listed below are the tasks.
...
To see currently available tools, run
# With GNU grep installed as ggrep (as with `brew install grep` on Mac)
ggrep -Po '(?<=^mcp.tool\(\)\()([^)]+)' src/main.py
As of 2025-05-26,
todoist_get_projects
todoist_get_project
todoist_add_project
todoist_update_project
todoist_delete_project
todoist_get_sections
todoist_get_section
todoist_add_section
todoist_update_section
todoist_delete_section
todoist_get_task
todoist_get_tasks
todoist_filter_tasks
todoist_add_task
todoist_update_task
todoist_complete_task
todoist_uncomplete_task
todoist_move_task
todoist_delete_task
todoist_get_comment
todoist_get_comments
todoist_add_comment
todoist_update_comment
todoist_delete_comment
This project is licensed under the MIT License. See the LICENSE file for details.
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