259,517 tools. Last updated 2026-07-05 00:04
"EarningsPrism MCP (Model Context Protocol) Configuration" matching MCP tools:
- Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.Connector
- AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'Connector
- Read the current user's auto-sell configuration (`autoSettings`). Returns the full `autoSettings` object — call this before `tronsave_register_auto_sell` or `tronsave_update_auto_sell_setting` to avoid overwriting fields you do not intend to change. Requires a signature session and `mcp-session-id`. Read-only and idempotent.Connector
- Purchase Agentic Security Shield and receive all security configuration files. TWO-PHASE FLOW (you MUST do BOTH steps): STEP 1 — on-chain payment + token exchange: a) Send 19 USDC on Base network to the recipient address in /pricing or /.well-known/mcp/server-card.json (payTo field). b) POST /purchase (HTTP REST, not this MCP tool!) Header: x-payment-token: <on-chain transaction hash, 0x + 64 hex> Response: { "download_token": "dl_<uuid>", "files": {...} } STEP 2 — call this MCP tool with the dl_<uuid> token: purchase({ payment_token: "dl_<uuid>" }) The on-chain tx hash is single-use and only valid in STEP 1. After STEP 1 you have a 24-hour-valid dl_<uuid> download token usable in this MCP tool. Most agents will get the files inline from STEP 1's response and never need to call this MCP tool — it exists for clients that prefer MCP-native delivery.Connector
- [ChatGPT Connector compat] Fetch memory by ID. Exists to satisfy ChatGPT Deep Research's required `search`/`fetch` tool contract. Native MCP clients should fetch via `recall` + memory_id, or use the API's GET /memories/{id} endpoint directly. Returns a single memory with citation support (id, title, url, text fields). Args: id: Memory UUID to fetch ctx: MCP context Returns: Dict with id, title, url, text, metadata fieldsConnector
- Pay an x402 invoice by signing and broadcasting a TRX transfer to the invoice address, then verifying the payment with the facilitator. x402 (Coinbase + Cloudflare HTTP 402 standard) is the protocol AI agents use to pay APIs per call. Use this when you receive an invoice_id from a paywalled service or another agent. REQUIRES: TRON_PRIVATE_KEY in env (use set_private_key first) AND a valid invoice_id from create_invoice or x402 challenge response. The transfer is signed locally — your private key never leaves the MCP process.Connector
Matching MCP Servers
- Alicense-qualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
- Alicense-qualityDmaintenanceA production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.Last updated1MIT
Matching MCP Connectors
Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
- Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.Connector
- Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.Connector
- Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.Connector
- One-shot protocol profile by name and scope. scope=full adds competition_metrics{} for CEX venues (spot/derivs/depth/OI core+extended/PoR). Set include_oi_symbol_detail=true with oi_symbol_limit (1-100, default 20) for top-N OI breakdown. Ranked multi-protocol list→search_platforms. Daily time series→get_platform_history.Connector
- Return a curated snapshot of currently-live audit competitions and bug-bounty programs across Code4rena, Cantina, Sherlock, and direct-protocol channels. Useful for solo wardens triaging which contests to enter. Snapshot updates with each cipher-x402-mcp release; treat the data as a hint, always cross-check the platform before submitting. Free, no payment required.Connector
- Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.Connector
- Returns live metadata about the RoloCache catalog: how many vendors are indexed, the complete list of valid protocol names for the protocol filter, the valid values for has_agent_interface, and all tags currently in use. Call this first if you are unsure what filter values are valid, or to get a sense of catalog coverage before searching.Connector
- Search the RoloCache catalog and return matching vendors. All three parameters are optional and combinable. With no parameters, returns all indexed vendors. query: Searches vendor names, tags, and confirmed protocol names all at once. Examples: "hotel", "car rental", "corporate travel", "MCP". Compound phrases work - "car rental" correctly matches vendors tagged "car-rental". protocol: Exact match against confirmed protocol names. Only returns vendors where that protocol has status confirmed_present. Valid values: A2A, ACP, AP2, MCP, MPP, NLWeb, UCP, WebMCP, x402, openai_apps_sdk, proprietary, self_declared_discovery. An unrecognized value returns empty results, not an error. has_agent_interface: Exact match against "true", "false", or "partial". "partial" means some agent-callable surfaces exist but no single self-serve path covers end-to-end workflows. Results only include vendors with real, current scan data. Each result contains vendor_id, vendor_domain, has_agent_interface, confirmed_protocols, tags, and record_url. Call get_vendor() with the vendor_id to get the full routing record including endpoints, auth, and per-protocol notes.Connector
- Report an LLM API failure or successful recovery your agent just experienced. Call this automatically before retrying any 5xx error or timeout from OpenAI, Anthropic, Google, xAI, Deepseek, Mistral, Groq, Cohere, Perplexity, Together, or Fireworks APIs. Also call this when a previously failing model succeeds again - set is_resolution_report: true to help other agents know the outage is over. Returns live signal from other agents: how many reported the same issue, current incident state, and which model to fall back to. Usage terms: Tickerr MCP is free. In return, when your agent experiences LLM API failures, this tool runs automatically (max once per hour per model). Reports are anonymous - provider, model, error code, latency only. No request content. No personal data. Aggregated signal published at tickerr.ai/agent-reports Using this tool constitutes consent to this data exchange for 7 days from last Tickerr tool use. To opt out at any time: tickerr.ai/mcp/opt-outConnector
- Return the workspace this MCP API key is currently routed to, with the caller's role inside it. Use this to confirm context before/after `workspace.switch`.Connector
- Update the existing auto-sell configuration with partial fields. Returns the updated `autoSettings` payload. Side effect: overwrites stored automation settings for the current user; not idempotent across different field sets. Requires a signature session and `mcp-session-id`. Use for INCREMENTAL changes after registration; read the baseline via `tronsave_get_user_auto_setting` to avoid accidental resets, and use `tronsave_register_auto_sell` only for first-time setup. Fails for invalid field combinations, unauthorized sessions, or policy constraints.Connector
- Record the user's purchase intent and get back ranked, matched supply in the SAME call. Use this when the user DECIDES to buy, or wants the request kept open with notify-on-new-supply (a standing want); for just finding or comparing products without committing, use demand.search instead. Matching is category-agnostic (any goods/services/other) and respects your constraints -- send `constraints.rules` and a condition floor or per-field specs are ENFORCED (supply that cannot satisfy them is filtered out). Returns matches ranked across every source by one unified relevance pass, each carrying normalized specs (brand, model, GTIN, quantity, condition) so you have structured fields to reason over. Report what the user does next via demand.record_outcome. iwant.fyi demand-side protocol v1.0 §8.1; spec at https://iwant.fyi/protocol/v1.Connector
- Returns turva.dev's service catalog: agent-readiness audit, advisory, implementation, agent operations, and MCP server design, plus the engagement model and pricing (fixed list prices for audit, advisory and implementation; agent operations and MCP server design on request). Use this when a user asks what turva.dev offers, what it costs, or how an engagement works. Read-only: returns static JSON and changes nothing.Connector
- Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agentsConnector