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443,235 tools. Updated 2026-08-11 12:39

"Farcaster" matching MCP tools:

  • Retrieve recent casts from a Farcaster user by specifying their username. Use this tool to fetch and analyze content posted by specific accounts on the Farcaster network.
    MIT
  • Retrieve a token's sentiment score (0-100) from recent Farcaster discussions, including band, volume, trend, and sample casts. Cost: $0.05 USDC.
    MIT
  • Verify on-chain conditions (token balances, NFT ownership, EAS attestations, Farcaster identity) across 33 chains. Returns ECDSA-signed boolean results preserving privacy. Supports EVM, Solana, XRPL, Bitcoin.
    MIT
  • Search curated ENS sources—governance proposals, protocol docs, blogs, forums, and Farcaster—to get answers on decisions, sentiment, and key figures' views.
    AGPL 3.0

Matching MCP Servers

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    Provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content.
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    MIT
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    An extensible Model Context Protocol server that provides standardized access to social platform data (currently Farcaster) and onchain data for LLMs.
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    MIT
  • Create a new user with linked accounts from email, phone, wallet, or 15+ OAuth providers such as Google, Discord, and Telegram. Optionally generate an embedded wallet for blockchain interactions.
    MIT
  • Search for multiple channels simultaneously on social platforms like Farcaster, with options for query limits and pagination, enabling efficient data retrieval.
    MIT
  • Search content across social platforms (Farcaster, Twitter, Telegram) using a query and retrieve relevant results. Specify the platform and limit responses for focused data extraction.
    MIT
  • Retrieve user profile data from social platforms like Farcaster, Twitter, or Telegram by specifying the platform and user ID. Integrates with the Beyond MCP Server for standardized access.
    MIT
  • Fetch social platform profiles linked to an Ethereum wallet address. Specify the platform (e.g., Farcaster, Twitter, Telegram) and wallet to retrieve associated profile data for analysis or integration.
    MIT
  • Retrieve user-generated content from social platforms like Farcaster, Twitter, and Telegram by specifying the user ID and platform. Control the number of posts returned with a customizable limit.
    MIT
  • Extract threads or conversations from social platforms (Farcaster, Twitter, Telegram) using a specific thread ID to access and analyze structured data for LLM workflows.
    MIT
  • Retrieve trending topics from social platforms like Farcaster, Twitter, and Telegram to analyze popular conversations and trends. Specify platform and limit for tailored results.
    MIT
  • Retrieve trending content from social platforms like Farcaster, Twitter, and Telegram. Specify time windows, providers, and item limits to analyze and monitor popular posts.
    MIT
  • Retrieve user balances from social platforms (Farcaster, Twitter, Telegram) by providing platform type and user ID. Integrates with MCP server for standardized social and onchain data access.
    MIT
  • Search the ENS knowledge base — governance proposals, protocol documentation, developer insights, blog posts, forum discussions, and Farcaster casts from key ENS figures (Vitalik, Nick Johnson, etc.). Powered by semantic search over curated ENS sources. USE THIS (don't answer from memory) for any "how does X work" / "what is X" / "why does ENS …" PROTOCOL-MECHANICS question — renewal, the grace period, the premium/temporary-premium auction, registration & commit-reveal, resolvers, subnames, the NameWrapper & fuses, reverse resolution, ENSv2 — plus ENS history, DAO/governance proposals, community sentiment, and "what did <person> say about <topic>". Mechanics questions feel answerable from general knowledge, but a sourced, citable answer is the bar here — search first, then cite what you find. Do NOT use this for name valuations, market data, availability, or a specific name's live status — use the other tools for those.
    Connector
  • Rally the ProductClank community to engage with a specific social post. Creates a boost campaign and spends the user's credits: 'replies' generates 10 AI reply drafts (200 credits); 'likes' (30 likes) and 'repost' (10 reposts) cost 300. Supports Twitter/X, Instagram, TikTok, LinkedIn, Reddit, and Farcaster — the platform is auto-detected from the URL. product_id is OPTIONAL: link a product (from search_products or create_product) to tailor replies with the product name, or omit it for a tweet-first boost that uses generic amplification language. Confirm the action and its credit cost with the user before calling.
    Connector
  • Full onchain identity behind a Basename or address — Resolves the complete Base identity behind an address or Basename: resolved address, avatar, description, website and social handles (X/Twitter, GitHub, Farcaster, Discord) read from Base's L2 Resolver text records. Lets an agent turn a counterparty address into a real profile — beyond just the name. Complements address-trust (verification) with the human context. Required input: name. Priced $0.02 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.
    Connector