MCP server
Revuo Official
ai.revuo/revuo
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Agent-callable B2B SaaS directory: capability-structured, continuously verified listings.
Working at last checkVerified publisher: revuo.aiAbout 5,630 tokens per request once connected14 tools
https://www.revuo.ai/api/mcp
At a glance
- Type
- MCP server
- Publisher
- revuo.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 14
- Token cost
- About 5,630 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http revuo https://www.revuo.ai/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.revuo] url = "https://www.revuo.ai/api/mcp"
Gemini CLI
{"mcpServers":{"revuo":{"httpUrl":"https://www.revuo.ai/api/mcp"}}}
Cursor
{"mcpServers":{"revuo":{"url":"https://www.revuo.ai/api/mcp"}}}
VS Code
{"servers":{"revuo":{"type":"http","url":"https://www.revuo.ai/api/mcp"}}}
Antigravity
agy mcp add revuo https://www.revuo.ai/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"revuo","server_url":"https://www.revuo.ai/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"revuo","server_url":"https://www.revuo.ai/api/mcp"}
Tools
categories.list~140 tokens
Lists all product categories in the directory. Use category slugs to filter product searches in products.search / products.find_by_capability. Response: { categories: [{ slug, name, description }] }. Note: this is a thin call. For a full directory briefing (subcategories, capability slugs per categodirectory.overview~284 tokens
Single 'call this first' entry-point that briefs an agent on the entire Revuo directory. Returns the taxonomy with subcategories, product counts per category, locked-vertical flags (the three verticals Revuo prioritizes), capability slugs valid per category, the canonical capability-kind taxonomy (imcp.score_server~420 tokens
Score an MCP server against the Revuo quality rubric. Pass either a product slug (scored from cached probe data on the product's direct-probe MCP entry; fast) OR an endpoint URL (probed live). Returns: { target, server, summary { coreAwarded/Max/Percent, extensionAwarded/Max/Percent, probedAt }, catproducts.find_agent_ready~432 tokens
Find products with the highest agent readiness scores — products that are easiest for AI agents to integrate with. Sorted by compositeScore desc; supports skip/limit pagination. All readiness scores are 0-100, higher better. Calibration: <30 = not agent-ready (default minimumScore filter), 30-49 = eproducts.find_by_capability~500 tokens
Find B2B SaaS products that support a specific capability — an integration with a named service ('salesforce-integration'), a data format ('xrechnung-support'), an industry standard ('eclass-support'), or a compliance certification ('soc2'). Accepts either a canonical capability slug or natural langproducts.get~320 tokens
Get full details for a product by slug, including MCP integration data, product-bound agent artifacts (Agent Skills, Grok Bots), and agent readiness scores. Agent artifacts are a property of the product — not directory categories. Response: { product: { slug, name, tagline, description, websiteUrl,products.get_mcp_setup~351 tokens
Get MCP server setup instructions for a product. Returns available servers, their tools, connection details, and whether they support remote (hosted) access. Each server carries a machine-usable connect block: { transport ('http'|'local'), url, mcpJson (paste-ready snippet), claudeMcpAddCommand (`clproducts.search~500 tokens
Search for B2B SaaS products by name OR by capability. The query is first resolved against the canonical capability taxonomy (e.g. 'salesforce-integration', 'xrechnung-support', 'soc2'); on hit, products that claim that capability are returned. Falls back to name/slug/tagline substring search. Optiorankings.get~389 tokens
Get the published editorial ranking ("Best {Category}") for a category. Ordering basis: computed editorial score ONLY (verified capability coverage, evidence verification rate & freshness, agent readiness, data completeness — weights published at /api/methodology). Tier is NOT a ranking input for thtools.changes~537 tokens
Detect whether a product's MCP tool schema has DRIFTED since you cached it — rug-pull / tool-poisoning detection (a server silently changing a tool's description or input schema after you approved it; web search structurally cannot answer this). Pass the product slug and EITHER the schema hash you ctools.find_for_task~722 tokens
Find the best MCP tools for a given task. Describe what you want to accomplish (e.g. 'manage github issues', 'send slack messages', 'query a database') and get ranked results — each result is one (product, tool) pair, since same-named tools across providers are NOT interchangeable. By default only stools.get~233 tokens
Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCatools.list_by_name~244 tokens
List every (product, tool) pair that shares a normalized name. A disambiguation lookup — same name across providers does NOT mean the tools are interchangeable. Ranking basis: productName. Paid tier is NOT a ranking input — it appears only as an annotation. Every result carries { position (1-based),tools.search~558 tokens
Search for MCP tools by capability. Each result is one (product, tool) pair — tools sharing a name across providers are NOT interchangeable, so each provider's tool is its own row with its own description and input schema. Ranking basis: semantic relevance to the query (embedding search); on the lex
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