Todoist MCP
T

Todoist MCP

An MCP service project that connects LLM with Todoist, supporting the management of Todoist tasks through the Claude desktop application.
2 points
8.5K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
get-label
Get information of the specified label
Parameters
labelId : string*
Description
add-shared-label
Add a shared label to the task
Parameters
taskId : string*
Description
Parameters
labelId : string*
Description
remove-shared-label
Remove the shared label from the task
Parameters
taskId : string*
Description
Parameters
labelId : string*
Description
delete-label
Delete the specified label
Parameters
labelId : string*
Description
add-comment
Add a comment to the task or note
Parameters
content : string*
Description
delete-comment
Delete the specified comment
Parameters
commentId : string*
Description
add-project
Create a new project
Parameters
name : string*
Description
Parameters
color : enum*
Description
Parameters
isFavorite : boolean*
Description
Parameters
viewStyle : enum*
Description
delete-project
Delete the project
Parameters
projectId : string*
Description
add-section
Add a new section to the project
Parameters
projectId : string*
Description
Parameters
name : string*
Description
delete-section
Delete the section
Parameters
sectionId : string*
Description
add-task
Add a new task
Parameters
content : string*
Description
delete-task
Delete the task
Parameters
taskId : string*
Description
update-task
Update task information
Parameters
taskId : string*
Description
Parameters
content : string*
Description
Parameters
dueDate : date*
Description
add-note
Add a note
Parameters
content : string*
Description
delete-note
Delete the note
Parameters
noteId : string*
Description
update-note
Update the note content
Parameters
noteId : string*
Description
Parameters
content : string*
Description

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
7.0K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
9.4K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
7.4K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.6K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
13.3K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
9.8K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
10.1K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
17.7K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
18.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
27.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
55.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
23.6K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.8K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
37.2K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
77.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase