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260,400 tools. Last updated 2026-07-05 06:01

"A server for finding pictures of dogs to post on Reddit r/DOG" matching MCP tools:

  • Scrape a Reddit post or subreddit (title, score, comments). Same domain as lookup/reddit but with full thread parsing. Use for in-depth research. Example call: {"subreddit_or_url": "r/MachineLearning"} Cost: $0.005–$0.05 USDC on Base per call.
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  • Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.
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  • Search Reddit posts. Each result comes with full post content and its top comments, so a single search usually answers the question without follow-up. Compact human-readable text by default; pass format='json' for full structured data. Use glim_reddit_get(ref) for a single post's complete comment tree. Page with cursor (response gives next_cursor when more exist). See docs://reddit-search.
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  • Publish a website to a live URL from a public archive link. Point this at a tar(.gz) archive on github / gist / S3 and the server fetches and deploys it, no upload from your side. Server-side fetch of a tar(.gz) archive from a public HTTPS URL, then deploy its contents. Sidesteps the case where your code-execution sandbox can reach github / gist / S3 etc. but not mcp.vibedeploy.be's upload endpoint. Equivalent to begin_deploy → POST uploadUrl → commit_deploy in one call. Hostname allowlist enforced; see the archiveUrl description.
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  • 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.
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  • Post a new comment on any target in a workspace: a row, a cell, a doc text range, an html element, an entire surface, or the workspace itself. Polymorphic target shape mirrors the REST POST /api/workspaces/:slug/comments. For threading, pass `parentId` to hang the new comment as a reply (the server flattens nested replies to single depth and auto-unresolves a resolved parent). Mentions are an array of `{ kind: 'user'|'agent', id, label }` triples; the server validates each mention's access to the workspace before accepting. Fires `comment.added` (and `comment.unresolved` when a reply reopens a resolved parent). For replies to existing comments where you don't want to reconstruct the target, prefer `reply_to_comment` which derives the target from the parent. Editor or commenter role required.
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Matching MCP Servers

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    Upload-Post is the all-in-one social media MCP server the Model Context Protocol server for social media publishing, scheduling and analytics. Connect any MCP-compatible AI agent (Claude, Cursor, ChatGPT, Claude Desktop, n8n, and more) and publish, schedule and analyze content across 13+ social networks from one API: TikTok, Instagram, YouTube, YouTube Shorts, Instagram Reels, LinkedIn, Facebook
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    Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
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    Apache 2.0

Matching MCP Connectors

  • Reddit MCP — public Reddit data via JSON endpoints (no auth required)

  • Post + comment + subreddit search with comment-level depth for sentiment work.

  • Buy a single data packet from any PayPerByte feed via the x402 payment gateway. No subscription, no allowance, no prior on-chain setup — pay-per-call USDC settlement. The MCP server signs an EIP-3009 transferWithAuthorization on behalf of the wallet whose PRIVATE_KEY is configured, the x402 facilitator submits the tx, and the data comes back inline with the on-chain settlement tx hash. Use byte_subscribe instead if you want a continuous stream of broadcasts from a publisher. The catalog of available feed slugs lives at https://x402.payperbyte.io/feeds (free GET). GET data feeds (weather, earthquakes, …) need only `feed`; the 9 POST oracles — address-reputation, sanctions-screen, pkg-verdict, reasoning-verdict, evidence-pack, liquidation-stream, positioning-snapshot, runtime-eol, threat-intel — additionally require a JSON `body` (the query) — supplying `body` switches this call to POST. Requires PRIVATE_KEY env var on the MCP server and USDC on the configured wallet. NOTE: paid feeds settle REAL USDC on Base mainnet (eip155:8453) — the exact price is quoted in the 402 challenge (flagship address-reputation: $0.10/verdict). Use a dedicated wallet holding only what you intend to spend.
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  • Publish a post. community_slug is optional; without it the post lives on my personal timeline. Media: pass an array of asset_ids in `media` to attach images OR a single video. Each asset must be approved (the upload pipeline has run), owned by the acting user, kind in {image, video}. Per-post caps: up to 4 images OR exactly 1 video — mixing the two in one post is rejected. Get asset_ids from `get_my_media` (existing assets) or `upload_media_from_path` (upload first, then pass the returned asset_id into `media` here). Authorship (optional, honor system — declare truthfully): - omit → `agent_assisted` (default: the user directed this post, you helped compose it) - `human_verbatim` → `human` badge. ONLY when the user dictated the exact text and you changed nothing. The claim is audited server-side (who claimed, relayed by which agent). - `agent_composed` → `agent_authored` badge. When you composed the content yourself (autonomous or near-autonomous posting). Note: attaching an AI-generated image forces the post badge to `agent_authored` at the database layer regardless of what you declare — the verifiable axis outranks the declared one.
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  • THE INSTRUMENT — ask a free-form CROSS-SPECIES genetics question and get FILTERED, HONEST HINTS (never a confident guess). It compiles your question into a typed query plan over the dog<->human edge-graph, runs it deterministically, and scores each answer PATH by its weakest edge — returning ranked hints with an evidence TIER (fact / computational / inferred) + citations, or an honest ABSTAIN with a demand signal when the graph can't answer. BEST FOR model-discovery / translational traversal: 'which dog breeds or genes model human <disease>', 'what is the dog ortholog of <gene>', 'what dog disease is phenotypically like <human disease>'. Answers are HYPOTHESIS-GENERATING, not clinical claims: a `fact` hint = an OMIA-curated model-of; a `computational` hint = a conserved 1:1 dog ortholog (a candidate — never 'dogs get this disease'); `inferred` = shared cross-species phenotype. Returns {plan (what it asked the graph), hints:[{answer, tier, score, path (the cited edges), weakest_edge, provenance}], abstain, demand_signal}. Set narrate=true for a gated one-line prose summary per hint (faithful-or-honest-template; it can never fabricate). Use `ask` instead for owner-facing breed/disease/carrier questions; use THIS for human-disease -> dog-model cross-species queries.
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  • 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")
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  • Extract voice primitives (register / sentence rhythm / lexicon preferences / punctuation habits) from post-shaped text and persist onto the user's VoiceProfile. The voice primitives thread into content generation so generated copy matches the user's actual writing voice. Two input shapes: pass `posts` (list of pre-collected text snippets, ≥80 chars each) or pass `url` (the server scrapes post-shaped snippets from the page: Substack / Medium / blog / X profile). Inline posts win when both are given. Inline post-shaped snippets need to be the user's own writing, not press articles or marketing copy. Returns the extracted primitives + a diff of what changed on the stored VoiceProfile.
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  • Post a sanitized market signal brief to Slack via incoming webhook. Proprietary data policy enforced server-side: price levels, EMA values, and raw indicator readings are stripped — only direction labels, confidence %, regime, risk level, and text thesis are delivered to Slack. Pass webhook_url to target your own Slack channel, or omit to post to the SML shared channel (requires SLACK_WEBHOOK_URL env var on this server). Free.
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  • KILLER ANALYSIS: given a target KPI + multiple candidate indicators, rank which candidates best predict the target by correlation strength. Perfect for "what moves my KPI?" questions. Returns ranked list with r, p-value, R² for each candidate. Maximum 30 candidates per call.
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  • Log a request for a service type not covered by the 10 named tools (e.g. carpet cleaning, dog walking, painting, moving). Does NOT book — adds to the waitlist to signal demand for future service expansion. Use this when none of the book_* tools match the user's need.
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  • Step 2: get the exact payment to RENT a plan for N days (USDC via x402 on Base + card availability). This hosted server holds NO funds and cannot provision — it returns everything needed to pay elsewhere. The `provision` field spells out the three ways to actually get the server. Read it and act on it.
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  • Return a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels, Pinterest, Reddit. Purpose: check what is available for a platform BEFORE calling framefetch_extract, so you only request supported fields. No input required.
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  • Call a ReefAPI engine action — POST /<engine>/v1/<action> with `params`. Returns the uniform { ok, data, meta, error } envelope. Get param names from get_engine_schema first. Needs YOUR ReefAPI key (the local server reads REEFAPI_KEY; the hosted server reads the `Authorization: Bearer ak_live_...` header you configure on the connection). Get a key at https://reefapi.com. Failed calls cost no credits.
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  • Act on a signal finding — the exit from discovery into the lead repository (VAA-100). action='find_people' (default) runs a paid Exa search (≤5¢) for decision-makers at the finding's company and upserts them into `gtm_leads` with source 'signal' and the signal headline as their hook/why; action='dismiss' marks the finding handled without spending. Both stamp acted_at so a finding is handled once (a second find_people returns already_acted). Pass `finding_id` (from `worker_findings` or the Workers page's buying-signals feed) and optionally `roles` to steer who to look for (default founder/CEO/CTO/Head-of/VP). Returns { ok, action, found, added, charged_cents }.
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  • 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.
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  • Calculate compound interest for investments. Formula: A = P(1 + r/n)^(nt) Where: - P = principal amount - r = annual interest rate (as decimal) - n = number of times interest compounds per year - t = time in years Examples: compound_interest(10000, 0.05, 5) # $10,000 at 5% for 5 years → $12,762.82 compound_interest(5000, 0.03, 10, 12) # $5,000 at 3% compounded monthly → $6,744.25
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