Lazy Toggl MCP
MCP ServerFree** - Simple unofficial MCP server to track time via Toggl API
Capabilities6 decomposed
time-entry-creation-via-mcp-protocol
Medium confidenceCreates time tracking entries in Toggl by translating MCP tool calls into Toggl API REST requests. Implements the Model Context Protocol as a server that exposes time entry creation as a callable tool, allowing LLM agents and Claude instances to initiate time tracking without direct API knowledge. Handles authentication via Toggl API token and marshals user intent (task description, duration, project/tag metadata) into properly formatted Toggl API payloads.
Exposes Toggl time tracking as a native MCP tool callable by Claude, eliminating the need for custom integrations or API wrappers — the MCP server acts as a thin adapter layer that translates Claude's tool invocations directly into Toggl REST API calls with minimal abstraction
Simpler than building custom Claude plugins or REST API wrappers because it leverages MCP's standardized tool-calling protocol, making it immediately compatible with any MCP-aware client without additional configuration
toggl-api-authentication-and-token-management
Medium confidenceManages Toggl API authentication by accepting and validating an API token, then injecting it into all outbound HTTP requests as a Basic Auth header (token as username, 'api_token' as password per Toggl's authentication scheme). Stores the token in environment variables or configuration at startup and applies it transparently to all subsequent API calls without requiring per-request token passing from the MCP client.
Centralizes Toggl authentication at the MCP server layer rather than requiring Claude or the client to handle credentials, using Toggl's standard Basic Auth scheme with token-as-username pattern — this keeps secrets out of LLM context and simplifies credential rotation
More secure than passing API tokens through Claude's context because credentials never reach the LLM; simpler than OAuth flows because Toggl's API token model doesn't require token refresh or consent flows
mcp-tool-schema-definition-and-exposure
Medium confidenceDefines and exposes time-tracking operations as MCP-compliant tool schemas that Claude can discover and invoke. The server implements the MCP tools/list and tools/call endpoints, advertising available tools (e.g., 'create_time_entry') with JSON schema describing parameters (task name, duration, project, tags) and return types. Claude uses these schemas to understand what operations are available and automatically constructs valid tool calls without manual prompt engineering.
Implements MCP's standardized tool schema protocol, allowing Claude to discover and understand Toggl operations through JSON Schema rather than hardcoded prompts — this makes the integration self-documenting and compatible with any MCP-aware client without custom integration code
More discoverable than REST API documentation because schemas are machine-readable and automatically exposed to Claude; more maintainable than prompt-based tool descriptions because schema changes are centralized in the server
time-entry-querying-and-retrieval
Medium confidenceRetrieves time entries from Toggl API based on query parameters (date range, project filter, tag filter) and returns structured data to Claude. The MCP server translates query parameters into Toggl API GET requests (e.g., /api/v9/me/time_entries with date filters), parses the JSON response, and formats it for LLM consumption. Enables Claude to inspect logged time, verify entries before creating new ones, or generate reports without manual Toggl UI navigation.
Exposes Toggl's time entry query API as an MCP tool, allowing Claude to read time-tracking data without leaving the conversation — queries are parameterized and translated to Toggl API calls, enabling context-aware decisions based on logged time
More integrated than asking users to manually check Toggl because Claude can query and analyze time data in real-time; more flexible than static reports because Claude can dynamically filter and interpret results
project-and-tag-metadata-retrieval
Medium confidenceFetches available projects and tags from the user's Toggl workspace via the Toggl API and exposes them as queryable data. The MCP server calls Toggl's /api/v9/me/projects and /api/v9/me/tags endpoints, caches the results, and provides them to Claude so it can reference valid project IDs and tag names when creating time entries. Prevents invalid project/tag references by allowing Claude to validate against the authoritative list.
Provides Claude with a queryable index of the user's Toggl workspace structure (projects and tags), enabling context-aware time entry creation without hardcoding or manual specification — acts as a knowledge base for valid references
More intelligent than generic time tracking because Claude understands the user's specific project taxonomy; more reliable than free-form project names because it enforces valid IDs from the authoritative Toggl workspace
mcp-server-lifecycle-and-stdio-transport
Medium confidenceImplements the MCP server lifecycle using stdio-based transport, where the server reads MCP protocol messages from stdin and writes responses to stdout. Handles server initialization (capabilities negotiation), tool discovery, and tool invocation through the MCP protocol's request/response model. Runs as a long-lived process that Claude Desktop or another MCP client spawns and communicates with via standard input/output streams, eliminating the need for HTTP servers or port configuration.
Uses MCP's stdio transport protocol for server communication, avoiding HTTP/network complexity and enabling tight integration with Claude Desktop — the server is a simple stdin/stdout process that Claude spawns and manages directly
Simpler than HTTP-based MCP servers because no port management or network configuration is needed; more secure than network-exposed servers because communication is local and process-isolated
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓solo developers using Claude with MCP integration
- ✓teams automating time tracking into AI workflows
- ✓builders prototyping LLM agents that need time-tracking capabilities
- ✓developers deploying Lazy Toggl MCP in local or containerized environments
- ✓teams managing API credentials through environment variable injection
- ✓users who want to isolate Toggl credentials from Claude's context
- ✓Claude Desktop users who want zero-configuration time tracking
- ✓MCP client developers integrating Lazy Toggl MCP into custom applications
Known Limitations
- ⚠Requires valid Toggl API token with appropriate permissions — no OAuth flow, token must be provisioned out-of-band
- ⚠No built-in validation of project IDs or tags before submission — invalid references fail at Toggl API layer
- ⚠MCP protocol overhead adds ~50-100ms per request compared to direct REST calls
- ⚠No retry logic or exponential backoff for transient Toggl API failures
- ⚠Requires plaintext API token in environment or config file — no encrypted credential storage or key management integration
- ⚠Basic Auth over HTTPS is secure in transit but token is stored unencrypted in process memory
Requirements
Input / Output
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** - Simple unofficial MCP server to track time via Toggl API
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