Todo for AI MCP Server (todo-for-ai/todo-for-ai-mcp) is an MCP server listed on the M8ven Trust Index. It scores 56 out of 100, grade D. It declares 6 tools. No publisher has claimed this listing.
Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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todo-for-ai
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_project_tasks_by_nameGet all pending tasks for a project by project name, sorted by creation time
get_task_by_idGet detailed task information by task ID
submit_task_feedbackSubmit feedback for a completed or in-progress task
create_taskCreate a new task in the specified project
get_project_infoGet detailed project information including statistics and configuration. Provide either project_id or project_name.
list_user_projectsList all projects that the current user has access to, with proper permission checking
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`
axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
LOG_LEVELLog Level --log-level infoTODO_ALLOWED_ORIGINSAllowed Origins --allowed-origins http://localhost:,https://localhost:TODO_API_BASE_URLAPI Base URL --api-base-url, --base-url https://todo4ai.org/todo-for-ai/api/v1TODO_API_TIMEOUTAPI Timeout --api-timeout, --timeout 10000 (ms)TODO_API_TOKENyour-api-tokenTODO_DNS_PROTECTIONDNS Protection --dns-protection true (for http)TODO_HTTP_HOST127.0.0.1 \TODO_HTTP_PORTHTTP Port --http-port 3000TODO_MAX_CONNECTIONSMax Connections --max-connections 100TODO_SESSION_TIMEOUTSession Timeout --session-timeout 300000 (ms)TODO_TRANSPORTTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
6/6 tools missing one or more hints — get_project_tasks_by_name (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_task_by_id (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); submit_task_feedback (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +3 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
Secrets not logged
4 secret values sent to console.log
Redact or omit secret values from log output.
Production dependencies are patched
0 critical, 15 high severity in production deps — @modelcontextprotocol/sdk@1.17.2 (high), @modelcontextprotocol/sdk@1.17.2 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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