"Alternative models for using MCPs besides Claude" matching MCP tools:

• tascan_add_tasks

  TaScan

  Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.

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• currency_fx_lite

  Inferventis MCP Server

  Converts a foreign exchange (FX) amount between two fiat currencies using live mid-market rates. Returns the converted amount and the exchange rate applied. Use currency_fx_lite when only the numeric result is required and the ECB/Frankfurter data source is not specifically needed. Prefer currency_convert when richer metadata (rate timestamp, ECB-backed Frankfurter source) is needed. Prefer currency_convert_lite for the same minimal output (amount + rate) when ECB/Frankfurter rates are specifically required — both tools return identical fields but draw from different rate providers. Use currency_rates when a historical rate from a specific past date is required. Use currency_convert_open as an alternative open-rate source. Does not support cryptocurrency pairs — use crypto_fx_rates for crypto-to-fiat or crypto-to-crypto conversions, or crypto_price_lite for a spot price lookup. Accepts all major ISO 4217 currency codes.

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• discover_commerce_tools

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Discover AXIS install metadata, pricing, and shareable manifests for commerce-capable agents. Free, no auth, and no mutation beyond read access. Example: call before wiring AXIS into Claude Desktop, Cursor, or VS Code. Use this when you need onboarding and ecosystem setup details. Use search_and_discover_tools instead for keyword routing or discover_agentic_purchasing_needs for purchasing-task triage.

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• list_audio_models

  Tenzro Ledger MCP

  List ASR (speech-to-text) models currently loaded on this node (Whisper, Distil-Whisper, Moonshine, Parakeet, Canary). Use list_audio_catalog to browse the curated catalog.

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• list_text_embedding_models

  Tenzro Ledger MCP

  List text-embedding models currently loaded on this node (Qwen3-Embedding, EmbeddingGemma, BGE-M3, etc.). Use list_text_embedding_catalog to browse the curated catalog.

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• register

  AI Agents Overflow

  Register your agent to start contributing. Call this ONCE on first use. After registering, save the returned api_key to ~/.agents-overflow-key then call authenticate(api_key=...) to start your session. agent_name: A creative, fun display name for your agent. BE CREATIVE — combine your platform/model with something fun and unique! Good examples: 'Gemini-Galaxy', 'Claude-Catalyst', 'Cursor-Commander', 'Jetson-Jedi', 'Antigrav-Ace', 'Copilot-Comet', 'Nova-Navigator' BAD (too generic): 'DevBot', 'CodeHelper', 'Assistant', 'Antigravity', 'Claude' DO NOT just use your platform name or a generic word. Be playful! platform: Your platform — one of: antigravity, claude_code, cursor, windsurf, copilot, other

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• list_segmentation_models

  Tenzro Ledger MCP

  List segmentation models currently loaded on this node (SAM 3, SAM 2, EdgeSAM, MobileSAM). Use list_segmentation_catalog to browse the curated catalog.

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• gitwhy_sync

  gitwhy-mcp

  Upload local contexts to the GitWhy cloud as private (not shared with team). Use after saving contexts locally to back them up to the cloud. Synced contexts remain private until explicitly published with gitwhy_publish. CLI alternative: `git why push <context-id>` (syncs specified contexts as private).

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• list_models

  Sats4AI - Bitcoin-Powered AI Tools

  Discover available AI models with numeric IDs, tier labels, capabilities, and per-call pricing in sats. Call this before create_payment to find the right modelId for your task. Returns JSON array: [{ id, name, tier, description, price, isDefault, category }]. Models marked isDefault=true are used when you omit modelId from create_payment. Filter by category to narrow results to a specific tool. This tool is free, requires no payment, and is idempotent — safe to call repeatedly.

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• currency_convert_open

  Inferventis MCP Server

  Converts a monetary amount between two fiat currencies using live exchange rates from an open currency exchange API. Returns the converted amount and the rate applied. Use currency_convert_open as an alternative live-rate source when currency_convert (Frankfurter/ECB) or currency_fx_lite are unavailable or rate-limited. The underlying source is an open public exchange rate feed suitable for informational use. Prefer currency_convert or currency_rates when ECB-auditable Frankfurter rates are required for accounting or compliance. Prefer currency_convert_lite for the same minimal output (amount + rate) backed by ECB/Frankfurter rates. Prefer currency_fx_lite for lightweight mid-market conversions. Does not support cryptocurrency pairs — use crypto_fx_rates for any conversion involving a digital asset.

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• report_outcome

  zero-core-verify

  Record a simple pass/fail outcome report for a service call. No LLM analysis - just logs the result to the quality database. Cheaper alternative to verify_outcome when you only need to record success/failure.

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• list-models

  Roundtable

  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.

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• atlas_list_custom_eval_models

  CareerProof MCP

  List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.

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• list_forecast_models

  Tenzro Ledger MCP

  List forecast (timeseries) models currently loaded on this node. Use list_forecast_catalog to browse available models from the curated catalog.

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• nanmesh.trust.review

  NaN Mesh

  Cast your expert +1 or -1 review on any entity. Use AFTER evaluating a tool you searched for or tried. Expert reviews are 70% of ranking. One review per agent per entity (overwrites previous). Requires agent_key. For no-auth alternative, use nanmesh.trust.favor instead.

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• list-models

  Roundtable

  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.

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• find_alternatives

  Brand Intelligence

  Find alternatives to a brand using the knowledge graph, shared capabilities, and category matching. Each alternative includes WHY it's an alternative. Args: slug: The brand slug (e.g. "cursor", "salesforce"). limit: Max alternatives (default 10, max 20). Returns: Dict with source brand, alternatives list (each with reasons, shared capabilities, AI visibility score), and an alternatives_url.

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• vendors.estimateCost

  BuyAPI

  Produces directional monthly cost estimates from BuyAPI pricing data and explicit workload inputs. Use this only when the user asks for cost math and provides explicit workload inputs. Missing workload fields are returned as assumptions or unknowns instead of being hallucinated. Treat results as BuyAPI claim-based estimate math; verify exact billing in first-party docs, vendor CLIs, or vendor MCPs before purchase or production decisions.

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• thinkneo_read_memory

  ThinkNEO Control Plane

  Read Claude Code project memory files. Without arguments, returns the MEMORY.md index listing all available memories. With a filename argument, returns the full content of that specific memory file. Use this to access project context, user preferences, feedback, and reference notes persisted across Claude Code sessions.

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• count_tokens_multi

  Toolora MCP Server

  Estimate token count + USD cost for a text across every major LLM (GPT-4o, GPT-4o-mini, o1, o1-mini, Claude 3.5 Sonnet/Haiku, Claude 3 Opus, Gemini 1.5 Pro/Flash, Llama 3 70B/8B) in one call. Returns per-model: estimated tokens, context-window fit %, input cost, and roundtrip cost (input+output). Also returns the cheapest and costliest model that fits. Use this before sending a long context to decide which model to route to. One call replaces 11 separate tokenizer lookups.

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