8 Best Todoist MCP Server Alternatives in 2026 (Open Source)
Todoist MCP Server — MCP server for Todoist integration enabling natural language task management with Claude. vs manual Todoist app: MCP protocol integration lets Claude directly manage tasks through natural conversation, eliminating context-switching between AI and task manager
These 8 open-source tools do the same job. They are ordered by how closely they match Todoist MCP Server, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Todoist MCP Server(original) | 393 | +2 | 2025-04-20 |
| Model Context Protocol servers | 90.8k | +1,361 | 2026-09-22 |
| emcee | 333 | +2 | 2026-07-04 |
| Arcade MCP | 1.0k | +34 | 2026-09-29 |
| MCP Go | 9.1k | +111 | 2026-09-23 |
| MCP TypeScript SDK | 13.5k | +237 | 2026-09-30 |
| MCP Python SDK | 24.4k | +333 | 2026-09-29 |
| ToolHive | 2.2k | +88 | 2026-09-30 |
| Casibase | 5.7k | +191 | 2026-09-29 |
1. Model Context Protocol servers
Model Context Protocol Servers
What sets it apart: vs custom tool implementations: standardized MCP protocol enables interoperability across Claude Desktop, Cursor, VS Code and any MCP client; vs LangChain tools: protocol-level standard rather than framework-specific
Best for: Learning MCP protocol implementation; Building custom MCP servers; Adding tool access to LLM clients
2. emcee
MCP generator for OpenAPIs 🫳🎤💥
What sets it apart: vs custom MCP server development: zero-code conversion from any OpenAPI spec to fully functional MCP server with auth, rate limiting, and 1Password integration
Best for: Exposing existing REST APIs as MCP tools for Claude Desktop; Teams wanting zero-code OpenAPI-to-MCP bridge
3. Arcade MCP
The best way to create, deploy, and share MCP Servers
What sets it apart: vs raw MCP SDK: built-in OAuth2 auth, secret injection invisible to LLMs, and one-command project scaffolding with CLI
Best for: Building secure MCP tool servers for AI assistants; Teams needing OAuth-based tool calling with secret management
4. MCP Go
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
What sets it apart: The leading community Go implementation of MCP — high-level API with minimal boilerplate vs building raw JSON-RPC handlers
Best for: Building MCP servers and clients in Go; Go-based AI tool infrastructure
5. MCP TypeScript SDK
The official TypeScript SDK for Model Context Protocol servers and clients
What sets it apart: The official reference TypeScript implementation of MCP — ensures full spec compliance and first-party support vs community implementations
Best for: Building MCP-compatible tools and servers in TypeScript; Exposing data sources and tools to LLM applications via standard protocol
6. MCP Python SDK
The official Python SDK for Model Context Protocol servers and clients
What sets it apart: Official Python SDK for MCP — the standard protocol for LLM-to-tool communication, backed by Anthropic, unlike proprietary function-calling APIs
Best for: Building MCP servers to expose tools and data to LLM applications; Integrating Python services with Claude Desktop or other MCP clients
7. ToolHive
ToolHive is an enterprise-grade platform for running and managing Model Context Protocol (MCP) servers.
What sets it apart: Only dedicated MCP server management platform with enterprise-grade security (container isolation, SSO, registry governance) — vs manually configuring MCP servers or using generic container tools
Best for: Teams deploying MCP servers at scale with security requirements; Enterprises needing centralized MCP server governance; Developers wanting one-click MCP server setup
8. Casibase
⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch
What sets it apart: vs other knowledge base platforms: Enterprise-grade open-source AI Cloud OS with built-in SSO (Casdoor), admin UI, MCP/A2A agent management, and support for 10+ LLM providers out of the box
Best for: Enterprise teams needing a self-hosted AI knowledge base with admin UI; Organizations requiring SSO and user management for AI chatbots; Multi-model AI platform deployment with MCP/A2A support