"A server for finding information about Todoist, the task management app" matching MCP tools:

• get_safety_features

  Makuri Showcase (CogniLedger)

  Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.

  Connector

• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

  Connector

• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.

  Connector

• em_submit_work

  Execution Market

  Submit completed work with evidence for an assigned task. After completing a task, use this to submit your evidence for review. The agent will verify your submission and release payment if approved. Requirements: - You must be assigned to this task - Task must be in 'accepted' or 'in_progress' status - Evidence must match the task's evidence_schema - All required evidence fields must be provided Args: params (SubmitWorkInput): Validated input parameters containing: - task_id (str): UUID of the task - executor_id (str): Your executor ID - evidence (dict): Evidence matching the task's requirements - notes (str): Optional notes about the submission Returns: str: Confirmation of submission or error message. Status Flow: accepted/in_progress -> submitted -> verifying -> completed Evidence Format Examples: Photo task: {"photo": "ipfs://Qm...", "gps": {"lat": 25.76, "lng": -80.19}} Document task: {"document": "https://storage.../doc.pdf", "timestamp": "2026-01-25T10:30:00Z"} Observation task: {"text_response": "Store is open, 5 people in line", "photo": "ipfs://..."}

  Connector

• get_broker

  mcp-server

  Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.

  Connector

• get_relevant_context

  VaultCrux Memory Core

  Task-scoped context briefing. Returns a prioritised context payload shaped by your task description, ranked by risk-if-missed. Constraints and alerts rank above general knowledge. Use at the START of reasoning about a question to get the system's best assessment of what's relevant. Complements query_memory: this gives breadth, query_memory gives depth.

  Connector

• data.capabilities

  Recursive Support Oracle

  Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.

  Connector

• knowledge_query

  dialogbrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.

  Connector

• em_rate_agent

  Execution Market

  Rate an AI agent after completing a task (worker -> agent feedback). Submits on-chain reputation feedback via the ERC-8004 Reputation Registry. Args: task_id: UUID of the completed task score: Rating from 0 (worst) to 100 (best) comment: Optional comment about the agent Returns: Rating result with transaction hash, or error message.

  Connector

• get_business

  Venturu

  Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.

  Connector

• create_tester_group

  Bitrise

  Creates a tester group for a Release Management connected app. Tester groups can be used to distribute installable artifacts to testers automatically. When a new installable artifact is available, the tester groups can either automatically or manually be notified via email. The notification email will contain a link to the installable artifact page for the artifact within Bitrise Release Management. A Release Management connected app can have multiple tester groups. Project team members of the connected app can be selected to be testers and added to the tester group. This endpoint has an elevated access level requirement. Only the owner of the related Bitrise Workspace, a workspace manager or the related project's admin can manage tester groups.

  Connector

• submit_feedback

  Senzing

  Submit feedback about the Senzing MCP server. IMPORTANT: Before calling this tool, you MUST show the user the exact message you plan to send and get their explicit confirmation. Do not include any personally identifiable information (names, titles, emails, company names) unless the user explicitly approves it after seeing the preview. Submissions are logged and reviewed by the Senzing team, but are effectively anonymous — the server does not capture sender identity, so we cannot follow up with the submitter. For direct help or follow-up, users should email support@senzing.com (free support)

  Connector

• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

  Connector

• get_platform_info

  Makuri Showcase (CogniLedger)

  Returns general information about the Makuri platform, including mission, target users, founding details, and company information. Use this tool when the user asks 'what is Makuri', 'who made it', or wants a general overview.

  Connector

• aws___recommend

  AWS Knowledge

  Get content recommendations for an AWS documentation page. ## Usage This tool provides recommendations for related AWS documentation pages based on a given URL. Use it to discover additional relevant content that might not appear in search results. URL must be from the docs.aws.amazon.com domain. ## Recommendation Types The recommendations include four categories: 1. **Highly Rated**: Popular pages within the same AWS service 2. **New**: Recently added pages within the same AWS service - useful for finding newly released features 3. **Similar**: Pages covering similar topics to the current page 4. **Journey**: Pages commonly viewed next by other users ## When to Use - After reading a documentation page to find related content - When exploring a new AWS service to discover important pages - To find alternative explanations of complex concepts - To discover the most popular pages for a service - To find newly released information by using a service's welcome page URL and checking the **New** recommendations ## Finding New Features To find newly released information about a service: 1. Find any page belong to that service, typically you can try the welcome page 2. Call this tool with that URL 3. Look specifically at the **New** recommendation type in the results ## Result Interpretation Each recommendation includes: - url: The documentation page URL - title: The page title - context: A brief description (if available)

  Connector

• universe_dataset_images_search

  Roboflow (Official)

  Search images inside a public Universe dataset URL. The MCP app runs inside a host iframe, so URL parsing belongs on the server. This tool accepts the selected Universe result URL and derives the workspace and project slugs before calling the same image-search backend.

  Connector

• get_help

  mcp-server

  Searches the official Quanti documentation (docs.quanti.io) to answer questions about using the platform. **When to use this tool:** - When the user asks "how to do X in Quanti?", "what is a connector?", "how to configure BigQuery?" - When the user needs help configuring or using a connector (Google Ads, Meta, Piano, etc.) - To explain Quanti concepts: projects, connectors, prebuilds, data warehouse, tag tracker, transformations - When the user asks about the Quanti MCP (setup, overview, semantic layer) **This tool does NOT replace:** - get_schema_context: to get the actual BigQuery schema for a client project - list_prebuilds: to list pre-configured reports for a connector - get_use_cases: to find reusable analyses - execute_query: to execute SQL **Available topic filters:** connectors, data-warehouses, data-management, tag-tracker, mcp-server, transformations

  Connector

• get_broker

  Venturu

  Get full details for a single broker (agent) by their profile slug. Call this when the user asks for more information about a specific broker. Use the slug from search_brokers results.

  Connector

• validate_fix

  dns

  Re-check a specific control after applying a fix. Confirms whether the finding is resolved.

  Connector

• get_business

  mcp-server

  Get full details for a single business (listing) by its slug. Call this when the user asks for more information about a specific business. Use the slug from search_businesses results.

  Connector