Skip to main content
Glama
622,135 tools. Updated 2026-09-29 18:31

"OpenRouter thinking or reasoning capabilities" matching MCP tools:

  • Change an Artifact you own or edit. Pass content to publish a new Version of the page at the same URL (the whole document, not a diff; earlier Versions stay in the history). Pass title, description, icon, or icon_image to change those. Any combination in one call. With content the call waits for the new Version to be live before returning. The new Version keeps the base Version's capabilities and state rules unless you pass capabilities or state.
    ConnectorNo auth
  • Log and persist a custom activity event. Writes a permanent, non-idempotent event record to Gogi's backend database (retained indefinitely) which is displayed to the user in the UI Activity Feed / agent timeline. Repeated calls with the same details will create duplicate timeline records. WHEN TO USE: Streaming inner thoughts, reasoning steps, heartbeat signals, current status, or execution milestones to provide an audit trail of the agent's thinking process. WHEN NOT TO USE: Do NOT use this tool for reporting trades, orders, or portfolio/position queries. Standard action tools (e.g., execute_trade, close_positions, execute_prediction) automatically emit their own rich timeline events; logging them again is redundant and creates database spam.
    ConnectorOAuth
  • Enable or disable optional external AI review for the current workspace. Requires a verified owner or administrator and their explicit agreement after showing get_external_review_settings disclosure: cited excerpts and response text go to OpenRouter/TypeSafe outside guaranteed Swiss/EU processing. Never activate automatically. For activation echo the acknowledged disclosure version; use the current policy revision. Disabling stops new assessments, not already sent requests. Human approval remains separate.
    Connector
    Destructive
    OAuth
  • Get the live status of AI coding providers (Claude, OpenAI, Copilot, Cursor, OpenRouter and more). Returns status, how long each provider has been in its current state, and last check time. Pass service_id for one provider, omit it for all.
    ConnectorNo auth
  • Route a task to the best available free AI model and run inference. DPX selects the model based on the task type (reasoning → DeepSeek R1, code → Llama 3.3 70B, multilingual → Qwen 2.5 72B, fast → Llama 3.1 8B), calls OpenRouter, and returns the completion. All models are free-tier — no token cost. Pay per call in USDC via x402. Use this when an agent needs to delegate a subtask to a language model without managing model selection or API keys.
    ConnectorNo auth
  • Route a task to the best available free AI model and run inference. DPX selects the model based on the task type (reasoning → DeepSeek R1, code → Llama 3.3 70B, multilingual → Qwen 2.5 72B, fast → Llama 3.1 8B), calls OpenRouter, and returns the completion. All models are free-tier — no token cost. Pay per call in USDC via x402. Use this when an agent needs to delegate a subtask to a language model without managing model selection or API keys.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • OpenRouter Models MCP.

  • Deterministic company, entity and location lookups for agents - per call, x402 or API key.

  • Returns THIS company's product truth — the operator-authored offer + the SHIPPED, marketable capabilities (what the product does, and what it cannot do). Call this before describing, marketing, pricing, positioning, or selling the product. Ground every product claim in what this returns; never invent capabilities or an offer. If it reports the product is not defined, escalate to the operator instead of guessing. Routing: product / offer / what we sell / pricing / positioning / marketing or sales copy → call get_product_context FIRST; never fabricate capabilities or an offer
    ConnectorNo auth
  • Get the full agenticness evaluation breakdown: 9 dimensions (action capability, autonomy, planning, adaptation, state continuity, reliability, interoperability, safety, operator sovereignty) scored 0-4 each (max 36, Agenticness rubric v3.1) with evidence-based reasoning. Use this for deep analysis of one tool's AI agent capabilities. For a quick score, get_listing includes the overall score. For comparing scores, use compare_listings.
    ConnectorNo auth
  • List available Flux resources and capabilities. Start here: every other tool takes a resource_id from this list, and a resource's capabilities say which of them it will accept.
    ConnectorAPI key
  • List documentation sections, or read an ID: getting-started, privacy, capabilities or integrations.
    ConnectorNo auth
  • Set the preferred LLM model for an agent. Search by name or keyword (e.g., 'opus', 'claude-sonnet', 'gpt-4o', 'deepseek', 'llama'). Any model available on OpenRouter can be used.
    ConnectorNo auth
  • Price per million tokens, context window, max output and retirement date of AI models (OpenRouter catalog). Use before writing a model ID in code or estimating costs. With model_id returns one model; with provider or query returns a list.
    ConnectorNo auth
  • 👤 Get full profile for a contact: all channel identities, notes, role, capabilities, birthday. When to use: - After contacts.find to get complete info about a specific person - To see all channels a contact is reachable on - To read notes, role, or capabilities for a contact Requires contact_id (entity_id) from contacts.find.
    ConnectorAPI key
  • List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
    ConnectorNo auth
  • Returns a 0-100 AI inference cost-efficiency score for text-output models (blended USD per million tokens from the OpenRouter catalog, 90-day window z-scored against baseline) with recent median and p10-floor prices, baseline median, and z_median/z_p10_floor/z_composite. Call when the user asks about LLM pricing trends, cost per token, or whether inference is getting cheaper, or when timing model-routing changes, committed-spend negotiations, or AI COGS forecasts. Updates: daily.
    ConnectorNo auth
  • Analyze a Chain-of-Thought (CoT) or reasoning trace from an LLM. Detects step count, logical flow, conclusion presence, backtracking, and estimates reasoning depth. Useful for o1/o3/DeepSeek-R1 evaluation.
    ConnectorNo auth
  • Get detailed specs for an AI model: context window, pricing per 1K tokens, knowledge cutoff, provider, multimodal support, reasoning capabilities, and feature list. Covers 30+ models from OpenAI, Anthropic, Google, DeepSeek, Meta, Mistral, Cohere, xAI.
    ConnectorNo auth
  • Discover the capabilities one binding exposes and return them as catalog entries. Pass binding_id to discover a saved binding (this publishes or refreshes its capabilities in the catalog), or a full inline definition to preview-discover one that was never saved. Call this after create_capability_binding, then browse the result with list_capabilities.
    ConnectorNo auth
  • Paid (0.01 USDC per call). Every listed price for one model on one day: each source and hosting provider, USD per million tokens. Rows from the OpenRouter catalog, OpenRouter per-host endpoints (Azure, Amazon Bedrock, Google, Together, DeepInfra, …), the LiteLLM price table and DeepInfra. Includes cache-read price and context length where known; variants such as batch tiers are marked in `extra.variant`.
    ConnectorNo auth